3.6.3 Human Perception, Human Visual System -- General

Kolb, H.[Helga], Fernandez, E.[Eduardo], Nelson, R.[Ralph],
Webvision: The organization of the Vertebrate Retina,
Online Book2002.
WWW Link. How (human) vision works, etc. Lots of information, pictures, etc. BibRef 0200

Uhr, L.[Leonard],
Review of psychological processes in pattern recognition,
CGIP(3), No. 4, December 1974, pp. 359-361.
Elsevier DOI 0501
Survey, Psychological Process. BibRef

Tunstall, K.W.,
Recognizing Patterns: Are there Processes that Precede Feature Analysis?,
PR(7), No. 1-2, June 1975, pp. 95-106.
Elsevier DOI BibRef 7506

Muller, F.J., Taylor, W.K.,
A parallel processing model for the study of possible pattern recognition mechanisms in the brain,
PR(8), No. 1, January 1976, pp. 47-52.
Elsevier DOI 0309
BibRef

Cerella, J.[John],
Absence of perspective processing in the pigeon,
PR(9), No. 2, July 1977, pp. 65-68.
Elsevier DOI 0309
BibRef

Cerella, J.[John],
The pigeon's analysis of pictures,
PR(12), No. 1, 1980, pp. 1-6.
Elsevier DOI 0309
BibRef

Cerella, J.[John],
Pigeons and perceptrons,
PR(19), No. 6, 1986, pp. 431-438.
Elsevier DOI 0309
BibRef

Granovskaya, R.M., Bereznaya, I.J.,
Experiments on human pattern recognition: A Hierarchical Sign-System Approach,
PR(12), No. 1, 1980, pp. 17-26.
Elsevier DOI 0309
BibRef

Braunstein, M.L.,
Contrasts Between Human and Machine Vision: Should Technology Recapitulate Phylogeny?,
HMV83(85-96). BibRef 8300

Kolers, P.A.,
Visual Computation,
HMV83(259-268). BibRef 8300

Kolers, P.A.,
Some Features of Visual Form,
CVGIP(23), No. 1, July 1983, pp. 15-41.
Elsevier DOI BibRef 8307

Hochberg, J.,
Machines Should Not See as People Do, but Must Know How People See,
CVGIP(37), No. 2, February 1987, pp. 221-237.
Elsevier DOI BibRef 8702

Hubel, D.H.,
Eye Brain and Vision,
Scientific American Library1988, ISBN 0-7167-5020-1.
HTML Version. Buy this book: Eye, Brain, and Vision (Scientific American Library) BibRef 8800

Papathomas, T.V.,
Special Issue on Visual-Perception: Guest Editorial,
IJIST(7), No. 2, Summer 1996, pp. 63-64. 9607
BibRef

Watt, R.J.,
An Outline of the Primal Sketch in Human Vision,
PRL(5), 1987, pp. 139-150. BibRef 8700

Bedrosian, S.D.,
Significance of Visual Limitations in Automated Pattern Recognition Applications,
PRL(2), 1984, pp. 395-400. BibRef 8400

Mellink, H.[Hans], Buffart, H.[Hans],
Abstract code network as a model of perceptual memory,
PR(20), No. 1, 1987, pp. 143-151.
Elsevier DOI 0309
BibRef

Adelson, E.H., Bergen, J.R.,
The Plenoptic Function and the Elements of Early Vision,
CMVP91(3-20). The Plenoptic Function describes the light intensity passing through every viewpoint, in every direction, for all time and for every wavelength. Thus what we really get is a sample of the function and we want to reconstruct reality. BibRef 9100

Perrett, D.I., Oram, M.W.,
Neurophysiology of shape processing,
IVC(11), No. 6, July-August 1993, pp. 317-333.
Elsevier DOI 0401
BibRef

Kosslyn, S.M.[Stephen M.],
Image and Brain: The Resolution of the Imagery Debate,
MIT PressCambridge, MA, 1994. ISBN 0-262-11184-5. Theory of visual imagery. Buy this book: Image And Brain: THE RESOLUTION OF THE IMAGERY DEBATE BibRef 9400

Tyler, C.W.[Christopher W.],
Human Symmetry Perception and Its Computational Analysis,
VSP Press1997. Twenty-two chapters. Contributed and overview papers. BibRef 9700

Pinoli, J.C.,
The Logarithmic Image Processing Model: Connections with Human Brightness Perception and Contrast Estimators,
JMIV(7), No. 4, October 1997, pp. 341-358.
DOI Link 9710
BibRef

Yagi, T., Ohshima, S., Funahashi, Y.,
The Role of Retinal Bipolar Cell in Early Vision: An Implication with Analog Networks and Regularization Theory,
BioCyber(77), No. 3, September 1997, pp. 163-171. 9710
BibRef

Wiebe, K.J., Basu, A.,
Modeling Ecologically Specialized Biological Visual Systems,
PR(30), No. 10, October 1997, pp. 1687-1703.
Elsevier DOI 9712
BibRef

Chen, Y.S., Lin, T.D.,
An Investigation into the Closure Process in Human Visual-Perception for Line Patterns,
PR(31), No. 1, January 1998, pp. 1-13.
Elsevier DOI 9802
BibRef

Roehrbein, F.[Florian], Zetzsche, C.[Christoph],
Exploitation of Natural Image Statistics by Biological Vision Systems: 1/f2 Power Spectra and Self-Similar Bandpass Decompositions,
CVPR98(86-91).
IEEE DOI BibRef 9800

Humphreys, G.W., Stiehl, H.S.,
Computational and Psychophysical Studies of Early Vision,
IVC(16), No. 6-7, May 18 1998, pp. 387-388.
Elsevier DOI 9806
Special Issue introduction. BibRef

Georgeson, M.A.,
Edge-Finding in Human Vision: A Multistage Model Based on the Perceived Structure of Plaids,
IVC(16), No. 6-7, May 18 1998, pp. 389-405.
Elsevier DOI 9806
BibRef

Ross, W.D., Mingolla, E.,
Recent Progress in Modeling Neural Mechanisms of Form and Color Vision,
IVC(16), No. 6-7, May 18 1998, pp. 447-472.
Elsevier DOI 9806
BibRef

Claridge, E., Billups, I.R.,
Towards a Method for Parametrizing Models of Early Vision Using Psychophysical Data,
IVC(16), No. 6-7, May 18 1998, pp. 473-498.
Elsevier DOI 9806
BibRef

Lambrecht, C.J.V., Kunt, M.,
Characterization of Human Visual Sensitivity for Video Imaging Applications,
SP(67), No. 3, June 1998, pp. 255-269. 9808
BibRef

Martin, C.E., Rogers, S.K., Kabrisky, M.,
Digital Production of Color Mach Bands Using a Color Human Visual-System Model,
SMC-A(28), No. 1, January 1998, pp. 127-130.
IEEE Top Reference. 9801
BibRef

Martin, C.E., Keller, J.G., Rogers, S.K., Kabrisky, M.,
Color Blindness and a Color Human Visual System Model,
SMC-A(30), No. 4, July 2000, pp. 494-499.
IEEE Top Reference. 0008
BibRef

Rodriguez Sanchez, R.[Rosa], Garcia, J.A., Fdez Valdivia, J., Fdez Vidal, X.R.[Xose R.],
Origins of illusory percepts in digital images,
PR(33), No. 12, December 2000, pp. 2007-2017.
Elsevier DOI 0008
BibRef

Chernyak, D.A., Stark, L.W.,
Top-down guided eye movements,
SMC-B(31), No. 4, August 2001, pp. 514-522.
IEEE Top Reference. Study of human eye movements. Simulate the saccades to extract information from an image. 0109
BibRef

Beck, J.,
On the Computational Modeling of Human Vision,
FIU01(Chapter 13). BibRef 0100

Fermüller, C.[Cornelia], Aloimonos, Y.[Yiannis],
Statistics Explains Geometrical Optical Illusions,
FIU01(Chapter 14). BibRef 0100
And: Add A2: Malm, H.[Henrik], UMD--TR4251, May 2001.
WWW Link. Optical illusions, e.g. patterns due to motion signals in line drawings, due to statistics of visual computations. BibRef

Bourbakis, N.G.,
Emulating human visual perception for measuring difference in images using an SPN graph approach,
SMC-B(32), No. 2, April 2002, pp. 191-201.
IEEE Top Reference. 0205
BibRef

Kuo, S.S.[Shyh-Shiaw], Johnston, J.D.,
Spatial Noise Shaping Based on Human Visual Sensitivity and Its Application to Image Coding,
IP(11), No. 5, May 2002, pp. 509-517.
IEEE DOI 0206
BibRef
Earlier: ICIP01(II: 17-20).
IEEE DOI 0108
BibRef

Petrov, Y.A.[Yury A.], Popple, A.V.[Ariella V.],
Effects of negative afterimages in visual illusions,
JOSA-A(19), No. 6, June 2002, pp. 1107-1111.
WWW Link. 0206
BibRef

Palmer, S.,
Vision Science: Photons to Phenomenology,
MIT Press1999. BibRef 9900

Fize, D.[Denis], Vanduffel, W.[Wim], Nelissen, K.[Koen], Denys, K.[Katrien], Chef d'Hotel, C.[Christophe], Faugeras, O.D.[Olivier D.], Orban, G.A.[Guy A.],
Retinotopic mapping in awake monkeys suggests a different functional organization for dorsal and ventral V4,
INRIARR-4732, Février 2003.
HTML Version. 0306
BibRef

Roberts, N.W.[Nicholas W.], Gleeson, H.F.[Helen F.], Temple, S.E.[Shelby E.], Haimberger, T.J.[Theodore J.], Hawryshyn, C.W.[Craig W.],
Differences in the optical properties of vertebrate photoreceptor classes leading to axial polarization sensitivity,
JOSA-A(21), No. 3, March 2004, pp. 335-345.
DOI Link 0409
BibRef

Carandini, M., Demb, J.B., Mante, V., Tolhurst, D.J., Dan, Y., Olshausen, B.A., Gallant, J.L., and Rust, N.C.,
Do we know what the early visual system does?,
Neuroscience(25), No. 46, 2005, pp. 10577-10597.
DOI Link BibRef 0500

Ghosh, K.[Kuntal], Sarkar, S.[Sandip], Bhaumik, K.[Kamales],
Proposing new methods in low-level vision from the Mach band illusion in retrospect,
PR(39), No. 4, April 2006, pp. 726-730.
Elsevier DOI 0604
Early Vision. Laplacian; Brightness-contrast illusions; Disinhibition Analysis of Mach Band illusion led to Bi-Laplacian of Gaussian in early vision. BibRef

CVonline: Introductory Visual Psychophysics/Psychology,
Online Book2007.
HTML Version. Part of the CVonline collection. Human perception issues. Perception, primal sketch, attention, flow, color, constancy, etc. BibRef 0700

Diamant, E.[Emanuel],
Modeling human-like intelligent image processing: An information processing perspective and approach,
SP:IC(22), No. 6, July 2007, pp. 583-590.
Elsevier DOI 0709
BibRef
And:
Modeling Visual Information Processing in Brain: A Computer Vision Point of View and Approach,
BVAI07(62-71).
Springer DOI 0710
Visual information; Physical and semantic image information; Knowledge and information relationship BibRef

Diamant, E.[Emanuel],
Paving the Way for Image Understanding: A New Kind of Image Decomposition Is Desired,
SCIA05(17-24).
Springer DOI 0506
BibRef

Sugihara, T.[Tadashi], Tsuji, Y.[Yoshihisa], Sakai, K.[Ko],
Border-ownership-dependent tilt after-effect in incomplete figures,
JOSA-A(24), No. 1, January 2007, pp. 18-24.
DOI Link 0801
BibRef

Thacker, N.A.[Neil A.], Clark, A.F.[Adrian F.], Barron, J.L.[John L.], Beveridge, J.R.[J. Ross], Courtney, P.[Patrick], Crum, W.R.[William R.], Ramesh, V.[Visvanathan], Clark, C.[Christine],
Performance characterization in computer vision: A guide to best practices,
CVIU(109), No. 3, March 2008, pp. 305-334.
Elsevier DOI 0802
Survey, Performance Evaluation. Performance assessment; Performance evaluation; Vision system design BibRef

Farrell, J.E., van den Branden Lambrecht, C.J.,
Scanning the issue: Special issue on translating human vision research into engineering technology,
PIEEE(90), No. 1, January 2002, pp. 3-4.
IEEE DOI 0201
Overview of the issue. BibRef

Higashi, T.[Taichi], Kita, S.[Shinichi], Watanabe, I.[Isao],
Texture and Objects: Interruption of Same-Object Effect in Human Vision,
IEICE(E89-D), No. 6, June 2006, pp. 1806-1812.
DOI Link 0606
BibRef

Yang, S.[Seungji], Ro, Y.M.[Yong Man], Wong, E.K.[Edward K.], Lee, J.H.[Jin-Hak],
Quantification and Standardized Description of Color Vision Deficiency Caused by Anomalous Trichromats: Part I: Simulation and Measurement,
JIVP(2008), No. 2008, pp. xx-yy.
DOI Link 0804
BibRef

Yang, S.[Seungji], Ro, Y.M.[Yong Man], Wong, E.K.[Edward K.], Lee, J.H.[Jin-Hak],
Quantification and Standardized Description of Color Vision Deficiency Caused by Anomalous Trichromats: Part II: Modeling and Color Compensation,
JIVP(2008), No. 2008, pp. xx-yy.
DOI Link 0804
BibRef

Ogiela, L.[Lidia], Ogiela, M.R.[Marek R.],
Cognitive Techniques in Visual Data Interpretation,
Springer2009, ISBN: 978-3-642-02692-8
WWW Link. Buy this book: Cognitive Techniques in Visual Data Interpretation (Studies in Computational Intelligence) 0909
BibRef

Shi, W.R.[Wei-Ren], Li, Z.J.[Zuo-Jin], Shi, X.[Xin], Zhong, Z.[Zhi],
A Survey of Biologically Inspired Image Processing for Objects Recognition,
IJIG(9), No. 4, October 2009, pp. 495-510.
DOI Link 0911
Survey, Human Vision. Survey of existing techniques where biological parallels are working and discusses places where there are serious problem (i.e. bringing knowledge to bear). BibRef

Ogmen, H., Herzog, M.H.,
The Geometry of Visual Perception: Retinotopic and Nonretinotopic Representations in the Human Visual System,
PIEEE(98), No. 3, March 2010, pp. 479-492.
IEEE DOI 1003
BibRef

Vazquez, E.[Eduard], Gevers, T.[Theo], Lucassen, M.[Marcel], van de Weijer, J.[Joost], Baldrich, R.[Ramon],
Saliency of color image derivatives: A comparison between computational models and human perception,
JOSA-A(27), No. 3, March 2010, pp. 613-621.
DOI Link 1003
BibRef

Cho, M.W.[Myoung Won], Choi, M.Y.,
Brain networks: Graph theoretical analysis and development models,
IJIST(20), No. 2, June 2010, pp. 108-116.
DOI Link 1006
Graph map for the brain. Topological descriptions. BibRef

Koo, B.B.[Bang-Bon], Kim, D.S.[Dae-Shik],
Computer-based morphometry of brain,
IJIST(20), No. 2, June 2010, pp. 117-125.
DOI Link 1006
BibRef

Berg, M.[Mikko], Kojo, I.[Ilpo], Laarni, J.[Jari],
Object displays for identifying multidimensional outliers within a crowded visual periphery,
JVCIR(21), No. 8, November 2010, pp. 880-888.
Elsevier DOI 1011
Object display; Peripheral vision; Eye movements; Acuity; Crowding; Multidimensional; Visual search; Eccentricity Human ability to detect, locate, or identify objects and their features using peripheral vision. BibRef

Maul, T.H., Bargiela, A., Ren, L.J.,
Cybernetics of Vision Systems: Toward an Understanding of Putative Functions of the Outer Retina,
SMC-A(41), No. 3, May 2011, pp. 398-409.
IEEE DOI 1104
BibRef

de Silva, V., Fernando, A., Worrall, S.T., Arachchi, H.K.[H. Kodikara], Kondoz, A.M.,
Sensitivity Analysis of the Human Visual System for Depth Cues in Stereoscopic 3-D Displays,
MultMed(13), No. 3, 2011, pp. 498-506.
IEEE DOI 1106
BibRef

Rosen, P.[Paul], Popescu, V.[Voicu],
An evaluation of 3-D scene exploration using a multiperspective image framework,
VC(27), No. 6-8, June 2011, pp. 623-632.
WWW Link. 1107
Human analysis, how multi-perspective images help. Trade dis-occlusion and simplicity. BibRef

Xiao, S.S.[Song-Shan], Li, L.Y.[Lin-Yu], Chen, X.[Xiao], Tian, Y.[Yi],
Reinterpretation of three famous experiments on visual perception from the view of spatial frequency multi-channel,
IASP11(673-676).
IEEE DOI 1112
BibRef

Do, M.N., Marchand-Maillet, D., Vetterli, M.,
On the Bandwidth of the Plenoptic Function,
IP(21), No. 2, February 2012, pp. 708-717.
IEEE DOI 1201
BibRef
Earlier:
On the Bandlimitedness of the Plenoptic Function,
ICIP05(III: 17-20).
IEEE DOI 0512
BibRef

Chebira, A., Dragotti, P.L., Sbaiz, L., Vetterli, M.,
Sampling and interpolation of the plenoptic function,
ICIP03(II: 917-920).
IEEE DOI 0312
BibRef

da Cunha, A.L., Do, M.N., Vetterli, M.,
On the Information Rate of the Plenoptic Function,
ICIP06(2489-2492). 0610

IEEE DOI Study of compression -- video and byte size. Complexity of camera model. BibRef

Manduchi, R.[Roberto], Coughlan, J.[James],
(Computer) Vision Without Sight,
CACM(55), No. 1, January 2012, pp. 96-104.
DOI Link 1201
Computer vision holds the key for the blind or visually impaired to explore the visual world. BibRef

Strickland, E.,
Future vision,
Spectrum(49), No. 1, January 2012, pp. 41.
IEEE DOI 1201
Embeding sensors for the blind BibRef

Granzier, J.J.M.[Jeroen J. M.], Toscani, M.[Matteo], Gegenfurtner, K.R.[Karl R.],
Role of eye movements in chromatic induction,
JOSA-A(29), No. 2, February 2012, pp. A353-A365.
DOI Link 1202
BibRef

Kang, P.[Para], Shevell, S.K.[Steven K.],
Feature binding of a continuously changing object,
JOSA-A(29), No. 2, February 2012, pp. A128-A132.
DOI Link 1202
BibRef

O'Neil, S.F.[Sean F.], McDermott, K.C.[Kyle C.], Mizokami, Y.[Yoko], Werner, J.S.[John S.], Crognale, M.A.[Michael A.], Webster, M.A.[Michael A.],
Tests of a functional account of the Abney effect,
JOSA-A(29), No. 2, February 2012, pp. A165-A173.
DOI Link 1202
BibRef

Medina, J.M.[José M.], Díaz, J.A.[José A.],
1/f noise in human color vision: the role of S-cone signals,
JOSA-A(29), No. 2, February 2012, pp. A82-A95.
DOI Link 1202
BibRef

Barbur, J.L.[John L.], Konstantakopoulou, E.[Evgenia],
Changes in color vision with decreasing light level: Separating the effects of normal aging from disease,
JOSA-A(29), No. 2, February 2012, pp. A27-A35.
DOI Link 1202
BibRef

Cao, D.[Dingcai], Lu, Y.H.[Yolanda H.],
Lateral suppression of mesopic rod and cone flicker detection,
JOSA-A(29), No. 2, February 2012, pp. A188-A193.
DOI Link 1202
BibRef

Zele, A.J.[Andrew J.], Kremers, J.[Jan], Feigl, B.[Beatrix],
Mesopic rod and S-cone interactions revealed by modulation thresholds,
JOSA-A(29), No. 2, February 2012, pp. A19-A26.
DOI Link 1202
BibRef

Kremers, J.[Jan], Pangeni, G.[Gobinda],
Electroretinographic responses to photoreceptor specific sine wave modulation,
JOSA-A(29), No. 2, February 2012, pp. A306-A313.
DOI Link 1202
BibRef

Cooper, B.[Bonnie], Sun, H.[Hao], Lee, B.B.[Barry B.],
Psychophysical and physiological responses to gratings with luminance and chromatic components of different spatial frequencies,
JOSA-A(29), No. 2, February 2012, pp. A314-A323.
DOI Link 1202
BibRef

Freitag, F.B.[Fabio Batista], Pessoa, D.M.A.[Daniel Marques Almeida],
Effect of luminosity on color discrimination of dichromatic marmosets (Callithrix jacchus),
JOSA-A(29), No. 2, February 2012, pp. A216-A222.
DOI Link 1202
BibRef
And: Erratum: JOSA-A(36), No. 4, April 2019, pp. 508-509.
DOI Link 1912
Color, Illuminance, Solar radiation BibRef

Lee, B.B.[Barry B.], Shapley, R.M.[Robert M.], Hawken, M.J.[Michael J.], Sun, H.[Hao],
Spatial distributions of cone inputs to cells of the parvocellular pathway investigated with cone-isolating gratings,
JOSA-A(29), No. 2, February 2012, pp. A223-A232.
DOI Link 1202
BibRef

Viénot, F.[Françoise], Brettel, H.[Hans], Dang, T.V.[Tuong-Vi], Le Rohellec, J.[Jean],
Domain of metamers exciting intrinsically photosensitive retinal ganglion cells (ipRGCs) and rods,
JOSA-A(29), No. 2, February 2012, pp. A366-A376.
DOI Link 1202
BibRef

Hovis, J.K.[Jeffery K.], Milburn, N.J.[Nelda J.], Nesthus, T.E.[Thomas E.],
Hypoxia, color vision deficiencies, and blood oxygen saturation,
JOSA-A(29), No. 2, February 2012, pp. A268-A274.
DOI Link 1202
BibRef

Dain, S.[Stephen],
The Farnsworth Flashlight is not equivalent to the Farnsworth Lantern,
JOSA-A(29), No. 2, February 2012, pp. A377-A382.
DOI Link 1202
Occupational applications. BibRef

Kruger, N.[Norbert], Janssen, P.[Peter], Kalkan, S.[Sinan], Lappe, M.[Markus], Leonardis, A.[Ales], Piater, J.[Justus], Rodriguez-Sanchez, A.J.[Antonio J.], Wiskott, L.[Laurenz],
Deep Hierarchies in the Primate Visual Cortex: What Can We Learn for Computer Vision?,
PAMI(35), No. 8, 2013, pp. 1847-1871.
IEEE DOI 1307
Neurons; Retina; Visual systems; biological modeling; deep hierarchies BibRef

Hsieh, C.W.[Chi-Wen], Chen, C.Y.[Chih-Yen], Tiu, C.M.[Chui-Mei], Jong, T.L.[Tai-Lang], Liu, T.C.A.[Tzu-Chi-Ang],
Multiple interpretations by using pixel resonance concept,
IET-IPR(7), No. 4, 2013, pp. 401-406.
DOI Link 1307
Human vision. BibRef

Beghdadi, A.[Azeddine], Larabi, M.C.[Mohamed-Chaker], Bouzerdoum, A.[Abdesselam], Iftekharuddin, K.M.[Khan M.],
A survey of perceptual image processing methods,
SP:IC(28), No. 8, 2013, pp. 811-831.
Elsevier DOI 1309
Human visual system BibRef

Beghdadi, A.[Azeddine], Bouzerdoum, A.[Abdesselam], Iftekharuddin, K.M.[Khan M.], Larabi, M.C.[Mohamed-Chaker],
Biologically inspired approaches for visual information processing and analysis,
SP:IC(28), No. 8, 2013, pp. 809-810.
Elsevier DOI 1309
Section overview. BibRef

Wu, J.J.[Jin-Jian], Lin, W.S.[Wei-Si], Shi, G.M.[Guang-Ming], Wang, X.T.[Xiao-Tian], Li, F.[Fu],
Pattern Masking Estimation in Image With Structural Uncertainty,
IP(22), No. 12, 2013, pp. 4892-4904.
IEEE DOI 1312
computer vision. HVS masking for perceptual based image and video analysis. BibRef

Le Sueur, H.[Helen], Mollon, J.D.[John D.], Granzier, J.[Jeroen], Jordan, G.[Gabriele],
Counterphase modulation photometry: comparison of two instruments,
JOSA-A(31), No. 4, April 2014, pp. A34-A37.
DOI Link 1404
Vision, color, and visual optics BibRef

Lawrance-Owen, A.J., Bosten, J.M., Hogg, R.E., Bargary, G., Goodbourn, P.T., Mollon, J.D.,
Counterphase modulation flicker photometry: Phenotypic and genotypic associations,
JOSA-A(31), No. 4, April 2014, pp. A226-A231.
DOI Link 1404
Ophthalmic optics and devices; Vision BibRef

Citti, G.[Giovanna], Sarti, A.[Alessandro], (Eds.)
Neuromathematics of Vision,

Franceschini, N.,
Small Brains, Smart Machines: From Fly Vision to Robot Vision and Back Again,
PIEEE(102), No. 5, May 2014, pp. 751-781.
IEEE DOI 1405
Behavioral science BibRef

Boscain, U., Chertovskih, R., Gauthier, J., Remizov, A.,
Hypoelliptic Diffusion and Human Vision: A Semidiscrete New Twist,
SIIMS(7), No. 2, 2014, pp. 669-695.
DOI Link 1405
BibRef

Scheirer, W.J., Anthony, S.E., Nakayama, K., Cox, D.D.,
Perceptual Annotation: Measuring Human Vision to Improve Computer Vision,
PAMI(36), No. 8, August 2014, pp. 1679-1686.
IEEE DOI 1407
Accuracy BibRef

Qiao, H.[Hong], Li, Y.L.[Yin-Lin], Tang, T.[Tang], Wang, P.[Peng],
Introducing Memory and Association Mechanism Into a Biologically Inspired Visual Model,
Cyber(44), No. 9, September 2014, pp. 1485-1496.
IEEE DOI 1410
object recognition HMAX model. V1 to V4 of primate cortex. BibRef

Stowers, J.R., Fuhrmann, A., Hofbauer, M., Streinzer, M., Schmid, A., Dickinson, M.H., Straw, A.D.,
Reverse Engineering Animal Vision with Virtual Reality and Genetics,
Computer(47), No. 7, July 2014, pp. 38-45.
IEEE DOI 1410
Extra video:
WWW Link. biology computing BibRef

Weng, J.[Juyang], Luciw, M.D.,
Brain-Inspired Concept Networks: Learning Concepts from Cluttered Scenes,
IEEE_Int_Sys(29), No. 6, November 2014, pp. 14-22.
IEEE DOI 1502
brain models BibRef

Diaz, I., Abbey, C.K., Timberg, P.A.S., Eckstein, M.P., Verdun, F.R., Castella, C., Bochud, F.O.,
Derivation of an Observer Model Adapted to Irregular Signals Based on Convolution Channels,
MedImg(34), No. 7, July 2015, pp. 1428-1435.
IEEE DOI 1507
Computational modeling of human observation. BibRef

Koenderink, J.[Jan], van Doorn, A.[Andrea], Wagemans, J.[Johan],
The nature of the visual field, a phenomenological analysis,
PRL(64), No. 1, 2015, pp. 71-79.
Elsevier DOI 1509
Visual field BibRef

Celikkale, B.[Bora], Erdem, A.[Aykut], Erdem, E.[Erkut],
Predicting memorability of images using attention-driven spatial pooling and image semantics,
IVC(42), No. 1, 2015, pp. 35-46.
Elsevier DOI 1509
BibRef
Earlier:
Visual Attention-Driven Spatial Pooling for Image Memorability,
BeySem13(976-983)
IEEE DOI 1309
Image understanding. image memorability; spatial pooling; visual saliency; Human visual system, how do we remember images? And can it be applied to computer vision? BibRef

Montrucchio, B., Celozzi, C., Cerutti, P.,
Thresholds of Vision of the Human Visual System: Visual Adaptation for Monocular and Binocular Vision,
HMS(45), No. 6, December 2015, pp. 739-749.
IEEE DOI 1512
Aging BibRef

Bracamonte, V.[Vanessa], Okada, H.[Hitoshi],
Evaluating the Influence of Country-Related Pictures on the Perception of a Foreign Online Store,
IEICE(E99-D), No. 1, January 2016, pp. 111-119.
WWW Link. 1601
BibRef

Tregillus, K.E.M.[Katherine E. M.], Werner, J.S.[John S.], Webster, M.A.[Michael A.],
Adjusting to a sudden 'aging' of the lens,
JOSA-A(33), No. 3, March 2016, pp. A129-A136.
DOI Link 1603
Vision, color, and visual optics BibRef

Nagai, T.[Takehiro], Nakayama, K.[Kazuki], Kawashima, Y.[Yuki], Yamauchi, Y.[Yasuki],
Contrast adaptation to luminance and brightness modulations,
JOSA-A(33), No. 3, March 2016, pp. A37-A44.
DOI Link 1603
Color vision; Psychophysics; Vision adaptation BibRef

Kraft, A.[Angelina], Razum, M.[Matthias], Potthoff, J.[Jan], Porzel, A.[Andrea], Engel, T.[Thomas], Lange, F.[Frank], van den Broek, K.[Karina], Furtado, F.[Filipe],
The RADAR Project: A Service for Research Data Archival and Publication,
IJGI(5), No. 3, 2016, pp. 28.
DOI Link 1604
BibRef

Ulbricht, D.[Damian], Elger, K.[Kirsten], Bertelmann, R.[Roland], Klump, J.[Jens],
panMetaDocs, eSciDoc, and DOIDB: An Infrastructure for the Curation and Publication of File-Based Datasets for GFZ Data Services,
IJGI(5), No. 3, 2016, pp. 25.
DOI Link 1604
BibRef

Wang, Y.N.[Yu-Nong], Yu, N.H.[Neng-Hai], Wang, T.F.[Tai-Feng],
Ada-Sal Network: emulate the Human Visual System,
SP:IC(47), No. 1, 2016, pp. 519-528.
Elsevier DOI 1610
Ada-Sal Network BibRef

Bhattacharyya, R., Coffman, B.A., Choe, J., Phillips, M.E.,
Does Neurotechnology Produce a Better Brain?,
Computer(50), No. 2, February 2017, pp. 48-58.
IEEE DOI 1702
Brain models BibRef

Liao, H.[Hua], Dong, W.H.[Wei-Hua],
An Exploratory Study Investigating Gender Effects on Using 3D Maps for Spatial Orientation in Wayfinding,
IJGI(6), No. 3, 2017, pp. xx-yy.
DOI Link 1704
BibRef

Mahmoodi, S.[Sasan],
Nonlinearity in Simple and Complex Cells in Early Biological Visual Systems,
JMIV(58), No. 2, June 2017, pp. 179-188.
Springer DOI 1704
BibRef

Khosravy, M., Gupta, N., Marina, N., Sethi, I.K., Asharif, M.R.,
Perceptual Adaptation of Image Based on Chevreul: Mach Bands Visual Phenomenon,
SPLetters(24), No. 5, May 2017, pp. 594-598.
IEEE DOI 1704
Gaussian noise BibRef

Solomon, J.A.[Joshua A.], Tyler, C.W.[Christopher W.],
Improvement of contrast sensitivity with practice is not compatible with a sensory threshold account,
JOSA-A(34), No. 6, June 2017, pp. 870-880.
DOI Link 1706
Detection, Vision modeling, Psychophysics BibRef

Puchala, D.[Dariusz], Stokfiszewski, K.[Kamil],
Numerical accuracy of integral images computation algorithms,
IET-IPR(12), No. 1, January 2018, pp. 31-41.
DOI Link 1712
BibRef

Franceschiello, B., Sarti, A., Citti, G.,
A Neuromathematical Model for Geometrical Optical Illusions,
JMIV(60), No. 1, January 2018, pp. 94-108.
Springer DOI 1801
BibRef

Dodge, S.F., Karam, L.J.,
Visual Saliency Prediction Using a Mixture of Deep Neural Networks,
IP(27), No. 8, August 2018, pp. 4080-4090.
IEEE DOI 1806
BibRef
Earlier:
Can the Early Human Visual System Compete with Deep Neural Networks?,
CogCV17(2798-2804)
IEEE DOI 1802
Adaptation models, Biological system modeling, Computational modeling, Context modeling, Machine learning, saliency map. Neural networks, Nonlinear distortion, Testing, Training, Visual systems BibRef

Dodge, S.F., Karam, L.J.,
Quality Robust Mixtures of Deep Neural Networks,
IP(27), No. 11, November 2018, pp. 5553-5562.
IEEE DOI 1809
computational complexity, image classification, learning (artificial intelligence), neural nets, deep learning BibRef

Le Moan, S.[Steven], Farup, I.[Ivar], Blahová, J.[Jana],
Towards exploiting change blindness for image processing,
JVCIR(54), 2018, pp. 31-38.
Elsevier DOI 1806
Changes are not easily seen. Perception, Visual awareness, Visual attention, Change blindness, Salience, Image quality BibRef

Baspinar, E.[Emre], Citti, G.[Giovanna], Sarti, A.[Alessandro],
A Geometric Model of Multi-scale Orientation Preference Maps via Gabor Functions,
JMIV(60), No. 6, July 2018, pp. 900-912.
Springer DOI 1806
BibRef

Fan, S.J.[Shao-Jing], Ng, T.T.[Tian-Tsong], Koenig, B.L.[Bryan L.], Herberg, J.S., Jiang, M.[Ming], Shen, Z., Zhao, Q.[Qi],
Image Visual Realism: From Human Perception to Machine Computation,
PAMI(40), No. 9, September 2018, pp. 2180-2193.
IEEE DOI 1808
Visualization, Computational modeling, Rendering (computer graphics), Benchmark testing, Solid modeling, convolutional neural network BibRef

Fan, S.J.[Shao-Jing], Ng, T.T.[Tian-Tsong], Koenig, B.L.[Bryan L.], Jiang, M.[Ming], Zhao, Q.[Qi],
A Paradigm for Building Generalized Models of Human Image Perception through Data Fusion,
CVPR16(5762-5771)
IEEE DOI 1612
Use model of human perception to build large appropriate datasets. BibRef

Hassan, M.F.[Mohd Fikree], Paramesran, R.[Raveendran], Tanaka, Y.[Yoshiki], Tanaka, K.[Kiyoshi],
A method using uniform yellowing pigmentation to model the color perception of the elderly people,
SIViP(12), No. 6, September 2018, pp. 1019-1026.
Springer DOI 1808
BibRef

Deng, L.M.[Li-Miao], Wang, Y.J.[Yan-Jiang], Liu, B.D.[Bao-Di], Liu, W.F.[Wei-Feng], Qi, Y.J.[Yu-Juan],
Biological modeling of human visual system for object recognition using GLoP filters and sparse coding on multi-manifolds,
RealTimeIP(14), No. 1, January 2018, pp. 965-977.
Springer DOI 1809
BibRef

Zhang, Y.Y.[Yu-Ying], Thenkabail, P.S.[Prasad S.], Wang, P.[Peng],
A Bibliometric Profile of the Remote Sensing Open Access Journal Published by MDPI between 2009 and 2018,
RS(11), No. 1, 2019, pp. xx-yy.
DOI Link 1901
BibRef

Zhang, H.Y.[Hong-Yue], Huang, M.R.[Ming-Rui], Qing, X.L.[Xiu-Ling], Li, G.Q.[Guo-Qing], Tian, C.Z.[Chuan-Zhao],
Bibliometric Analysis of Global Remote Sensing Research during 2010-2015,
IJGI(6), No. 11, 2017, pp. xx-yy.
DOI Link 1712
BibRef

Cobo, M.J., Chiclana, F., Collop, A., de Ona, J., Herrera-Viedma, E.,
A Bibliometric Analysis of the Intelligent Transportation Systems Research Based on Science Mapping,
ITS(15), No. 2, April 2014, pp. 901-908.
IEEE DOI 1404
Artificial intelligence BibRef

Wang, C.S.[Cheng-Shun], Chen, Y.F.[Yu-Fen], Zheng, S.[Shulei], Liao, H.[Hua],
Gender and Age Differences in Using Indoor Maps for Wayfinding in Real Environments,
IJGI(8), No. 1, 2018, pp. xx-yy.
DOI Link 1901
BibRef

Lapon, L.[Lieselot], de Maeyer, P.[Philippe], Vanhaeren, N.[Nina], Battersby, S.[Sarah], Ooms, K.[Kristien],
Evaluating Young People's Area Estimation of Countries and Continents,
IJGI(8), No. 3, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Ge, H.Q.[Heng-Qing], Yu, H.C.[Hai-Chun],
The application and design of neural computation in visual perception,
JVCIR(59), 2019, pp. 309-315.
Elsevier DOI 1903
Neural computing, Visual perception, Contour detection, Face recognition BibRef

Papadimitriou, A.[Angeliki], Passalis, N.[Nikolaos], Tefas, A.[Anastasios],
Visual representation decoding from human brain activity using machine learning: A baseline study,
PRL(128), 2019, pp. 38-44.
Elsevier DOI 1912
BibRef
And:
Decoding Generic Visual Representations from Human Brain Activity Using Machine Learning,
BrainDriven18(III:597-606).
Springer DOI 1905
Neural decoding, Machine learning, Deep visual representations BibRef

Dong, W.H.[Wei-Hua], Zhan, Z.C.[Zhi-Cheng], Liao, H.[Hua], Meng, L.Q.[Li-Qiu], Liu, J.P.[Ji-Ping],
Assessing Similarities and Differences between Males and Females in Visual Behaviors in Spatial Orientation Tasks,
IJGI(9), No. 2, 2020, pp. xx-yy.
DOI Link 2003
BibRef

Liu, Z.Y.[Zheng-Ying], Xu, Z.[Zhen], Escalera, S.[Sergio], Guyon, I.[Isabelle], Jacques Junior, J.C.S.[Julio C.S.], Madadi, M.[Meysam], Pavao, A.[Adrien], Treguer, S.[Sebastien], Tu, W.W.[Wei-Wei],
Towards automated computer vision: analysis of the AutoCV challenges 2019,
PRL(135), 2020, pp. 196-203.
Elsevier DOI 2006
AutoML, Deep learning BibRef

Akagunduz, E.[Erdem], Bors, A.G.[Adrian G.], Evans, K.K.[Karla K.],
Defining Image Memorability Using the Visual Memory Schema,
PAMI(42), No. 9, September 2020, pp. 2165-2178.
IEEE DOI 2008
Visualization, Observers, Semantics, Psychology, Organizations, Image recognition, Image memorability, deep features BibRef

Zhuo, T.[Tao], Huang, Q.[Qiang], Kankanhalli, M.[Mohan],
Unsupervised Abstract Reasoning for Raven's Problem Matrices,
IP(30), 2021, pp. 8332-8341.
IEEE DOI 2110
Raven's Progressive Matrices (RPM) is highly correlated with human intelligence. Cognition, Training, Noise measurement, Task analysis, Data models, Unsupervised learning, Supervised learning, Abstract reasoning, unsupervised deep learning BibRef

Guan, F.L.[Fang-Li], Fang, Z.X.[Zhi-Xiang], Wang, L.B.[Lu-Bin], Zhang, X.[Xucai], Zhong, H.Y.[Hao-Yu], Huang, H.S.[Hao-Sheng],
Modelling people's perceived scene complexity of real-world environments using street-view panoramas and open geodata,
PandRS(186), 2022, pp. 315-331.
Elsevier DOI 2203
Street-view panorama, Human perception, Scene complexity of real-world environments, Scene features BibRef

Luo, Q.[Qing], Hu, K.[Kai], Liu, W.X.[Wen-Xuan], Wu, H.Y.[Hua-Yi],
Scientometric Analysis for Spatial Autocorrelation-Related Research from 1991 to 2021,
IJGI(11), No. 5, 2022, pp. xx-yy.
DOI Link 2206
BibRef

Sun, X.[Xingkai], Ge, S.C.[Shi-Chao], Wang, X.[Xiao], Lu, H.[Hao], Herrera-Viedma, E.[Enrique],
A Bibliometric Analysis of IEEE T-ITS Literature Between 2010 and 2019,
ITS(23), No. 10, October 2022, pp. 17157-17166.
IEEE DOI 2210
Bibliometrics, Productivity, Market research, Internet, Transportation, Sun, Collaboration, Bibliometric analysis, intelligent transportation systems (ITS) BibRef

Bessadok, A.[Alaa], Mahjoub, M.A.[Mohamed Ali], Rekik, I.[Islem],
Graph Neural Networks in Network Neuroscience,
PAMI(45), No. 5, May 2023, pp. 5833-5848.
IEEE DOI 2304
Brain modeling, Neuroscience, Diseases, Task analysis, Sociology, Magnetic resonance imaging, Graph neural networks, Brain graph, geometric deep learning BibRef

Bylinskii, Z.[Zoya], Herman, L.[Laura], Hertzmann, A.[Aaron], Hutka, S.[Stefanie], Zhang, Y.[Yile],
Towards Better User Studies in Computer Graphics and Vision,
FTCGV(15), No. 3, 2023, pp. 201-252.
DOI Link 2305
BibRef

Foucart, A.[Adrien], Debeir, O.[Olivier], Decaestecker, C.[Christine],
Evaluating participating methods in image analysis challenges: Lessons from MoNuSAC 2020,
PR(141), 2023, pp. 109600.
Elsevier DOI 2306
Challenge, Competition, Digital pathology, Image analysis, Performance metrics BibRef

Sun, Z.[Zhu], Fang, H.[Hui], Yang, J.[Jie], Qu, X.H.[Xing-Hua], Liu, H.Y.[Hong-Yang], Yu, D.[Di], Ong, Y.S.[Yew-Soon], Zhang, J.[Jie],
DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation,
PAMI(45), No. 7, July 2023, pp. 8206-8226.
IEEE DOI 2306
Measurement, Benchmark testing, Recommender systems, Reproducibility of results, Libraries, standardized procedures BibRef

Nguyen, T.T.D.[Tran Thien Dat], Rezatofighi, H.[Hamid], Vo, B.N.[Ba-Ngu], Vo, B.T.[Ba-Tuong], Savarese, S.[Silvio], Reid, I.[Ian],
How Trustworthy are Performance Evaluations for Basic Vision Tasks?,
PAMI(45), No. 7, July 2023, pp. 8538-8552.
IEEE DOI 2306
Task analysis, Object detection, Performance evaluation, Measurement, Shape, Detectors, Reliability, Performance evaluation, multi-object tracking BibRef

Du, C.[Changde], Fu, K.C.[Kai-Cheng], Li, J.P.[Jin-Peng], He, H.G.[Hui-Guang],
Decoding Visual Neural Representations by Multimodal Learning of Brain-Visual-Linguistic Features,
PAMI(45), No. 9, September 2023, pp. 10760-10777.
IEEE DOI 2309
Human visual coding of descriptions. BibRef

Tachi, K.[Kyoichi], Okamoto, S.[Shogo],
Dynamic State-Space Modeling With Factorial Memories in Temporal Dominance of Sensations, Emotions and Temporal Liking,
AffCom(14), No. 3, July 2023, pp. 2266-2275.
IEEE DOI 2310
How human perceptual and affective responses evolve with time. BibRef

Liu, M.K.[Meng-Kun], Jiao, L.C.[Li-Cheng], Liu, X.[Xu], Li, L.L.[Ling-Ling], Liu, F.[Fang], Yang, S.Y.[Shu-Yuan], Zhang, X.R.[Xiang-Rong],
Bio-Inspired Multi-Scale Contourlet Attention Networks,
MultMed(26), 2024, pp. 2824-2837.
IEEE DOI 2402
Inspired by human vision. Visualization, Biological system modeling, Biology, Feature extraction, Brain modeling, Computational modeling, Shannon block attention module BibRef

Sarti, A.[Alessandro], Galeotti, M.[Mattia], Citti, G.[Giovanna],
The Cortical V1 Transform as a Heterogeneous Poisson Problem,
SIIMS(17), No. 1, 2024, pp. 389-414.
DOI Link 2404
BibRef

Xia, W.H.[Wei-Hao], de Charette, R.[Raoul], Oztireli, C.[Cengiz], Xue, J.H.[Jing-Hao],
DREAM: Visual Decoding from REversing HumAn Visual SysteM,
WACV24(8211-8220)
IEEE DOI Code:
WWW Link. 2404
Visualization, Image color analysis, Semantics, Functional magnetic resonance imaging, Visual systems, Recording BibRef

Kyle-Davidson, C.[Cameron], Bors, A.G.[Adrian G.], Evans, K.K.[Karla K.],
Predicting Human Perception of Scene Complexity,
ICIP22(1281-1285)
IEEE DOI 2211
Measurement, Deep learning, Neural networks, Estimation, Predictive models, Lead, deep learning, complexity perception, human vision BibRef

Mazzara, C.[Camille], Comelli, A.[Albert], Migliore, M.[Michele],
Place Cell's Computational Model,
AIRCAD22(398-407).
Springer DOI 2208
Hippocampal Place Cells play a pivotal role in spatial navigation. BibRef

Kang, P.[Peng], Hu, H.[Hao], Banerjee, S.[Srutarshi], Chopp, H.[Henry], Katsaggelos, A.K.[Aggelos K.], Cossairt, O.[Oliver],
Human Vision-Like Robust Object Recognition,
ICIP21(709-713)
IEEE DOI 2201
Visualization, Neuroscience, Image recognition, Artificial neural networks, Robustness, Object recognition BibRef

Valdenegro-Toro, M.[Matias], Mori, D.S.[Daniel Saromo],
A Deeper Look into Aleatoric and Epistemic Uncertainty Disentanglement,
LXCV22(1508-1516)
IEEE DOI 2210
Uncertainty, Neural networks, Pattern recognition, Task analysis BibRef

Valdenegro-Toro, M.[Matias],
I Find Your Lack of Uncertainty in Computer Vision Disturbing,
LXCV21(1263-1272)
IEEE DOI 2109
Uncertainty, Computational modeling, Neural networks, Pattern recognition BibRef

Junior, J.C.S.J.[Julio C. S. Jacques], Lapedriza, A.[Agata], Palmero, C.[Cristina], Baró, X.[Xavier], Escalera, S.[Sergio],
Person Perception Biases Exposed: Revisiting the First Impressions Dataset,
WACVW21(13-21) Human Behavior Understanding
IEEE DOI 2105
Crowdsourcing, Annotations, Databases, Machine learning, Labeling BibRef

Cadoni, M.I.[Marinella Iole], Lagorio, A.[Andrea], Grosso, E.[Enrico], Huei, T.J.[Tan Jia], Seng, C.C.[Chan Chee],
From early biological models to CNNs: do they look where humans look?,
ICPR21(6313-6320)
IEEE DOI 2105
Visualization, Correlation, Databases, Neural networks, Semantics, Pipelines, Visual systems BibRef

Michaelsen, E.[Eckart],
On the Depth of Gestalt Hierarchies in Common Imagery,
IMTA20(30-43).
Springer DOI 2103
BibRef

Ueno, T.[Takahiro], Nakayama, M.[Minoru],
Influence of Peripheral Vibration Stimulus on Viewing and Response Actions,
ETTAC20(420-428).
Springer DOI 2103
BibRef

Fu, B.C.Y.[Billy C. Y.], Sin, Z.P.T.[Zackary P. T.], Ng, P.H.F.[Peter H. F.], Cheng-Lai, A.[Alice],
Improving Chinese Reading Comprehensions of Dyslexic Children via VR Reading,
ISVC20(I:630-641).
Springer DOI 2103
BibRef

Cui, Z., Zhao, Y., Guo, J., Du, H., Zhang, J.,
Typical and Reverse Other-Race Effect on Tibetan Students' Emotional Face Recognition,
FG20(754-760)
IEEE DOI 2102
Emotion. Face recognition, Emotion recognition, Presses, Education, Cultural differences, Character recognition, Aging BibRef

Teti, M., Meyer, E., Kenyon, G.,
Can Lateral Inhibition for Sparse Coding Help Explain V1 Neuronal Responses To Natural Stimuli?,
SSIAI20(120-124)
IEEE DOI 2009
brain models, convolutional neural nets, image coding, learning (artificial intelligence), neurophysiology, dictionary learning BibRef

Lyu, J.L.[Jia-Ling], Qiu, W.C.[Wei-Chao], Yuille, A.L.[Alan L.],
Identity Preserve Transform: Understand What Activity Classification Models Have Learnt,
TCV20(39-47)
IEEE DOI 2008
Transforms, Solid modeling, Computational modeling, Image processing, Data models, Semantics BibRef

Zhu, L.[Lin], Dong, S.W.[Si-Wei], Li, J.N.[Jia-Ning], Huang, T.J.[Tie-Jun], Tian, Y.H.[Yong-Hong],
Retina-Like Visual Image Reconstruction via Spiking Neural Model,
CVPR20(1435-1443)
IEEE DOI 2008
Neurons, Visualization, Image reconstruction, Photonics, Biological system modeling, Cameras, Dynamics BibRef

Gwilliam, M., Farrell, R.,
Intelligent Image Collection: Building the Optimal Dataset,
WACV20(785-794)
IEEE DOI 2006
Birds, Loss measurement, Visualization, Training, Testing, Image recognition, Task analysis BibRef

Dwivedi, K.[Kshitij], Roig, G.[Gemma],
Navigational Affordance Cortical Responses Explained by Scene-Parsing Model,
BrainDriven18(III:536-545).
Springer DOI 1905
Deep NN can be used to explain some brain responses. BibRef

Vascon, S.[Sebastiano], Parin, Y.[Ylenia], Annavini, E.[Eis], d'Andola, M.[Mattia], Zoccolan, D.[Davide], Pelillo, M.[Marcello],
Characterization of Visual Object Representations in Rat Primary Visual Cortex,
BrainDriven18(III:577-586).
Springer DOI 1905
BibRef

Dias, C.[Catarina], Dimiccoli, M.[Mariella],
Learning Event Representations by Encoding the Temporal Context,
BrainDriven18(III:587-596).
Springer DOI 1905
BibRef

Chung, A., Fieguth, P., Wong, A.,
Nature vs. Nurture: The Role of Environmental Resources in Evolutionary Deep Intelligence,
CRV18(368-374)
IEEE DOI 1812
Environmental factors, Neural networks, Synapses, Computational modeling, Network architecture, environmental resource models BibRef

Vu, L.[Lan], Kurkure, U.[Uday], Sivaraman, H.[Hari], Bappanadu, A.[Aravind],
Large Scale Application Response Time Measurement Using Image Recognition and Deep Learning,
ISVC18(511-526).
Springer DOI 1811
BibRef

Zuanon, R.[Rachel], da Silva Oliveira, M.R.[Melissa Ramos], Gallo, H.[Haroldo], Ferreira, C.L.[Cláudio Lima],
Drawing Memories: Intersections Between the Sites of Memory and the Memories of Places,
DHM18(375-391).
Springer DOI 1807
BibRef

Linsley, D., Eberhardt, S., Sharma, T., Gupta, P., Serre, T.,
What are the Visual Features Underlying Human Versus Machine Vision?,
CogCV17(2706-2714)
IEEE DOI 1802
Games, Image recognition, Mice, Object recognition, Observers, Visualization BibRef

Lorincz, A.[András], Fóthi, Á.[Áron], Rahman, B.O.[Bryar O.], Varga, V.[Viktor],
Deep Gestalt Reasoning Model: Interpreting Electrophysiological Signals Related to Cognition,
CogCV17(2789-2797)
IEEE DOI 1802
Cognition, Computational modeling, Delays, Face, Feedforward systems, Videos, Visualization BibRef

Ikeba, D.[Daiki], Sakaue, F.[Fumihiko], Sato, J.[Jun], Cipolla, R.[Roberto],
Showing Different Images to Observers by Using Difference in Retinal Impulse Response,
CIAP17(II:718-729).
Springer DOI 1711
Analysis of HVS results in way to display different images. BibRef

Hori, M.[Megumi], Sakaue, F.[Fumihiko], Sato, J.[Jun], Cipolla, R.[Roberto],
Measuring Refractive Properties of Human Vision by Showing 4D Light Fields,
CIAP17(II:522-533).
Springer DOI 1711
BibRef

Kirar, J.S.[Jyoti Singh], Choudhary, A.[Ayesha], Agrawal, R.K.,
Selection of Relevant Electrodes Based on Temporal Similarity for Classification of Motor Imagery Tasks,
PReMI17(96-102).
Springer DOI 1711
BibRef

Wang, Y.X., Ramanan, D., Hebert, M.,
Growing a Brain: Fine-Tuning by Increasing Model Capacity,
CVPR17(3029-3038)
IEEE DOI 1711
Adaptation models, Brain modeling, Computational modeling, Pipelines, Training, Visualization BibRef

Nematzadeh, N.[Nasim], Powers, D.M.W.[David M.W.], Lewis, T.[Trent],
Quantitative Analysis of a Bioplausible Model of Misperception of Slope in the Café Wall Illusion,
DeepVisual16(III: 622-637).
Springer DOI 1704
BibRef

Nematzadeh, N.[Nasim], Powers, D.M.W.[David M.W.],
A Quantitative Analysis of Tilt in the Cafe Wall Illusion: A Bioplausible Model for Foveal and Peripheral Vision,
DICTA16(1-8)
IEEE DOI 1701
BibRef
Earlier:
A Bioplausible Model for Explaining Café Wall Illusion: Foveal vs. Peripheral Resolution,
ISVC16(I: 426-438).
Springer DOI 1701
Band-pass filters BibRef

du Plessis, W., van Vuuren, P., van Schoor, G.,
Alcohol and the oculomotor neural circuit: System identification, a delay-based approach,
WSSIP15(261-264)
IEEE DOI 1603
beverages BibRef

Beheshti, S.M.R.S.[S. M. Reza Saadat], Liatsis, P.,
VICAP: Using the mechanisms of trans-saccadic memory to distinguish between humans and machines,
WSSIP15(295-298)
IEEE DOI 1603
Internet BibRef

Zhu, J.Y.[Jun-Yan], Krähenbühl, P.[Philipp], Shechtman, E.[Eli], Efros, A.A.[Alexei A.],
Generative Visual Manipulation on the Natural Image Manifold,
ECCV16(V: 597-613).
Springer DOI 1611
BibRef
And:
Learning a Discriminative Model for the Perception of Realism in Composite Images,
ICCV15(3943-3951)
IEEE DOI 1602
What makes an image appear realistic? Natural from composite. BibRef

Forrest, P.M.[Peter M.], Nixon, M.S.[Mark S.],
Symmetry Similarity of Human Perception to Computer Vision Operators,
ISVC15(I: 265-274).
Springer DOI 1601
BibRef

Martínez-Cañada, P.[Pablo], Morillas, C.[Christian], Nieves, J.L.[Juan Luis], Pino, B.[Begoña], Pelayo, F.[Francisco],
First Stage of a Human Visual System Simulator: The Retina,
CCIW15(118-127).
Springer DOI 1504
BibRef

Wei, H.[Hui], Zuo, Q.S.[Qing-Song],
A Bio-Inspired Early-Level Image Representation and Its Contribution to Object Recognition,
ICPR14(4263-4268)
IEEE DOI 1412
Biology BibRef

Kasturi, R.[Rangachar], Goldgof, D.B.[Dmitry B.], Ekambaram, R.[Rajmadhan], Pratt, G.[Gill], Krotkov, E.[Eric], Hackett, D.D.[Douglas D.], Ran, Y.[Yang], Zheng, Q.F.[Qin-Fen], Sharma, R.[Rajeev], Anderson, M.[Mark], Peot, M.[Mark], Aguilar, M.[Mario], Khosla, D.[Deepak], Chen, Y.[Yang], Kim, K.[Kyungnam], Elazary, L.[Lior], Voorhies, R.C.[Randolph C.], Parks, D.F.[Daniel F.], Itti, L.[Laurent],
Performance Evaluation of Neuromorphic-Vision Object Recognition Algorithms,
ICPR14(2401-2406)
IEEE DOI 1412
Algorithm design and analysis BibRef

Galbraith, A.E., Brumby, S.P., Chartrand, R.,
Simulating vision through time: Hierarchical, sparse models of visual cortex for motion imagery,
AIPR12(1-8)
IEEE DOI 1307
computational complexity BibRef

Tang, X.K.[Xin-Ke], Li, Y.[Yi],
Lightness illusion: A new look from Compressive Sensing perspective,
ICIP12(1049-1052).
IEEE DOI 1302
BibRef

Le Cun, Y.L.[Yann L.],
Learning Invariant Feature Hierarchies,
BCVI12(I: 496-505).
Springer DOI 1210
BibRef

Thorpe, S.J.[Simon J.],
Spike-Based Image Processing: Can We Reproduce Biological Vision in Hardware?,
BCVI12(I: 516-521).
Springer DOI 1210
BibRef

Orban, G.A.[Guy A.],
Lessons from the Primate Visual System,
BCVI12(I: 462-467).
Springer DOI 1210
BibRef

Faugeras, O.D.[Olivier D.],
Neural Fields Models of Visual Areas: Principles, Successes, and Caveats,
BCVI12(I: 474-479).
Springer DOI 1210
BibRef

Bednar, J.A.[James A.],
Visual Cortex as a General-Purpose Information-Processing Device,
BCVI12(I: 480-485).
Springer DOI 1210
BibRef

Frégnac, Y.[Yves],
Reading Out the Synaptic Echoes of Low-Level Perception in V1,
BCVI12(I: 486-495).
Springer DOI 1210
BibRef

Herrera, R.M.[Rosana Matuk],
Early Visual Processing for Pattern Recognition in Natural Environments,
CIARP12(543-550).
Springer DOI 1209
BibRef

Isik, L.[Leyla], Leibo, J.Z.[Joel Z.], Mutch, J.[Jim], Lee, S.W.[Sang Wan], Poggio, T.[Tomaso],
A hierarchical model of peripheral vision,
CSAIL(TR-2011-031). 2011-06-17.
WWW Link. 1202
BibRef

Pourazad, M.T.[Mahsa T.], Mai, Z.C.[Zi-Cong], Nasiopoulos, P.[Panos], Plataniotis, K.N.[Kostas N.], Ward, R.K.[Rabab K.],
Effect of brightness on the quality of visual 3D perception,
ICIP11(989-992).
IEEE DOI 1201
BibRef

Suen, C.Y., Dumont, N., Dyson, M., Tai, Y.C., Lu, X.,
Evaluation of Fonts for Digital Publishing and Display,
ICDAR11(1424-1436).
IEEE DOI 1111
Survey, Fonts. Human visual system analysis. Reading, comprenhension, eye-strain. BibRef

Hafemeister, L., Gaussier, P., Maillard, M., Boucenna, S., Giovannangeli, C.,
Perception: Insights from the sensori-motor approach,
EUVIP10(261-268).
IEEE DOI 1110
BibRef

Wang, W.[Wei], Chen, C.[Cheng], Wang, Y.Z.[Yi-Zhou], Jiang, T.T.[Ting-Ting], Fang, F.[Fang], Yao, Y.[Yuan],
Simulating human saccadic scanpaths on natural images,
CVPR11(441-448).
IEEE DOI 1106
BibRef

Wirth, M.[Michael], Nikitenko, D.[Denis],
Worn-out Images in Testing Image Processing Algorithms,
CRV11(183-190).
IEEE DOI 1105
The images used for testing are dated and do not represent the issues faced today. How to test algorithms. BibRef

Khakhar, J.[Jignesh], Madhvanath, S.[Sriganesh],
JollyMate: Assistive Technology for Young Children with Dyslexia,
FHR10(576-580).
IEEE DOI 1011
BibRef

Shohara, M.[Makoto], Kotani, K.[Kazunori],
The visual perception sensitivity for achromatic noise and chromatic noise,
ICIP13(127-131)
IEEE DOI 1402
BibRef
Earlier:
Modeling and application of color noise perception dependent on background color and spatial frequency,
ICIP11(1689-1692).
IEEE DOI 1201
BibRef
Earlier:
Measurement of color noise perception,
ICIP10(3225-3228).
IEEE DOI 1009
Band-pass filters BibRef

von Ahn, L.[Luis],
Human computation,
CIVR09(Article No 1).
DOI Link 0907
Using people for computation -- groups, etc. BibRef

Ramanathan, S.[Subramanian], Katti, H.[Harish], Sebe, N.[Nicu], Kankanhalli, M.[Mohan], Chua, T.S.[Tat-Seng],
An Eye Fixation Database for Saliency Detection in Images,
ECCV10(IV: 30-43).
Springer DOI 1009
Dataset, Eye Fixation. BibRef

Pal, R.[Rajarshi], Mukherjee, J.[Jayanta], Mitra, P.[Pabitra],
An Approach for Preparing Groundtruth Data and Evaluating Visual Saliency Models,
PReMI09(279-284).
Springer DOI 0912
Human hand-eye vs. human pupil tracking. BibRef

Huang, Y.Z.[Yong-Zhen], Huang, K.Q.[Kai-Qi], Tan, T.N.[Tie-Niu],
Computational primitives of visual perception,
ICIP09(1793-1796).
IEEE DOI 0911
Computational model of primitives used by people. BibRef

Li, Z.Q.[Zhi-Qing], Shi, Z.P.[Zhi-Ping], Li, Z.X.[Zhi-Xin], Shi, Z.Z.[Zhong-Zhi],
Image Reconstruction by Sparse Coding and Selective Attention,
CISP09(1-5).
IEEE DOI 0910
BibRef

Ren, Z.L.[Zhao-Li], Zou, Y.X.[Yue-Xian], Zhang, Z.G.[Zhi-Guo], Hu, Y.[Yong],
Fast Extraction of Somatosensory Evoked Potential Using RLS Adaptive Filter Algorithms,
CISP09(1-4).
IEEE DOI 0910
BibRef

Xiao, S.[Shufen],
Signals Spreading and Information Processing in the Outer Plexiform Layer of the Frog Retina,
CISP09(1-6).
IEEE DOI 0910
BibRef

Carpenter, G.A., Martens, S., Mingolla, E., Ogas, O.J., Sai, C.,
Biologically inspired approaches to automated feature extraction and target recognition,
AIPR04(61-66).
IEEE DOI 0410
BibRef

Arathorn, D.,
Computation in the higher visual cortices: map-seeking circuit theory and application to machine vision,
AIPR04(73-78).
IEEE DOI 0410
BibRef

Aanstoos, J.,
Visual literacy: an overview,
AIPR03(189-193).
IEEE DOI 0310
BibRef

Levin, L.M.,
Children's understanding of imagery in picture books,
AIPR03(194-198).
IEEE DOI 0310
BibRef

Sundaramoorthi, G., Petersen, P., Varadarajan, V.S., Soatto, S.,
On the set of images modulo viewpoint and contrast changes,
CVPR09(832-839).
IEEE DOI 0906
Regions or patches with statistical features that do not change with viewpoint and illumination. Represent image with sparse features. BibRef

Komatsu, H.[Hidehiko], Goda, N.[Naokazu],
Color Information Processing in Higher Brain Areas,
CCIW09(1-11).
Springer DOI 0903
BibRef

Shroff, G.[Gina], Gerhardstein, P.[Peter], Yin, L.J.[Li-Jun],
Children's sensitivity to configural cues in faces undergoing rotational motion,
FG08(1-6).
IEEE DOI 0809
BibRef

Schyns, P.G.[Philippe G.], Petro, L.S.[Lucy S.], Smith, M.L.[Marie L.],
Inverse mapping the neuronal correlates of facial expression processing,
FG08(1-5).
IEEE DOI 0809
BibRef

Pollick, F.[Frank], Puce, A.[Aina],
Workshop on psychology of face and gesture recognition,
FG08(1-1).
IEEE DOI 0809
Workshop report. BibRef

Luo, J.B.[Jie-Bo], Hao, W.[Wei], McIntyre, D.[Dale], Joshi, D.[Dhiraj], Yu, J.[Jie],
Recognizing picture-taking environment from satellite images: A feasibility study,
ICPR08(1-4).
IEEE DOI 0812
Human vision experiment. BibRef

Riener, A.[Andreas], Ferscha, A.[Alois],
Raising Awareness about Space via Vibro-Tactile Notifications,
SSC08(235-245).
Springer DOI 0810
BibRef

Wolf, L.B.[Lior B.], Donner, Y.[Yoni],
An experimental study of employing visual appearance as a phenotype,
CVPR08(1-7).
IEEE DOI 0806
BibRef

Wandell, B.A.[Brian A.],
Development and Plasticity in Visual Cortex,
VMV04(359). 0411
BibRef

Zuffi, S.[Silvia], Brambilla, C.[Carla], Beretta, G.[Giordano], Scala, P.[Paolo],
Human Computer Interaction: Legibility and Contrast,
CIAP07(241-246).
IEEE DOI 0709
Analysis of readability of text. BibRef

Radilova, J.[Jirina], Taddei-Ferretti, C.[Cloe], Musio, C.[Carlo], Santillo, S.[Silvia], Cibelli, E.[Edoardo], Cotugno, A.[Antonio], Radil, T.[Tomáš],
Reversal of 'Cubic' and 'Cylindric' Figures,
BVAI07(144-149).
Springer DOI 0710
BibRef

Lansky, P.[Petr], Pokora, O.[Ondrej], Rospars, J.P.[Jean-Pierre],
Stimulus-Response Curves in Sensory Neurons: How to Find the Stimulus Measurable with the Highest Precision,
BVAI07(338-349).
Springer DOI 0710
BibRef

Sacerdote, L.[Laura], Zucca, C.[Cristina], Lansky, P.[Petr],
Input Identification in the Ornstein-Uhlenbeck Neuronal Model with Signal Dependent Noise,
BVAI07(368-377).
Springer DOI 0710
BibRef

Tukiainen, T.[Teemu], Lensu, L.[Lasse], Parkkinen, J.[Jussi],
Temporal Characteristics of Artificial Retina Based on Bacteriorhodopsin and Its Variants,
BVAI07(94-103).
Springer DOI 0710
BibRef

Nishi, T.[Takako], Shimotsu, K.[Kyoko], Gotow, T.[Tsukasa],
Physiology of Simple Photoreceptors in the Abdominal Ganglion of Onchidium,
BVAI07(1-10).
Springer DOI 0710
BibRef

Cristino, L.[Luigia], Guglielmotti, V.[Vittorio], Musio, C.[Carlo], Santillo, S.[Silvia],
Diffuse Nerve Net of Hydra Revealed by NADPH-Diaphorase Histochemical Labeling,
BVAI07(11-20).
Springer DOI 0710
BibRef

d'Alessandro, P.[Paolo],
On Global Geometry of Image on Eye's Back,
BVAI07(21-29).
Springer DOI 0710
BibRef

Frazor, R.A.[Robert A.], Benucci, A.[Andrea], Carandini, M.[Matteo],
Independent Encoding of Position and Orientation by Population Responses in Primary Visual Cortex,
BVAI07(30-41).
Springer DOI 0710
BibRef

Šetic, M.[Mia], Domijan, D.[Dražen],
A Neural Model for Attentional Modulation of Lateral Interactions in the Visual Cortex,
BVAI07(42-51).
Springer DOI 0710
BibRef

Wolf, L.B.[Lior B.], Guttmann, M.[Moshe],
Artificial Complex Cells via the Tropical Semiring,
CVPR07(1-7).
IEEE DOI 0706
Cells to capture Hubel-Weisel and Fukushima and Riesenhuber-Poggio models. BibRef

Nielsen, F.,
Plenoptic path and its applications,
ICIP03(I: 793-796).
IEEE DOI 0312
BibRef

Lambert, P., Deschenes, J.D., Hebert, P.,
A Sampling Criterion for Optimizing a Surface Light Field,
3DIM07(47-54).
IEEE DOI 0708
BibRef
Earlier:
A Frequency-Based Approach For Efficient Plenoptic Sampling,
ICIP05(II: 1334-1337).
IEEE DOI 0512
BibRef

Singh, S.[Sameer], Payne, A.D.[Andrew D.], Kingsland, R.[Roman],
Modelling the Human Visual Process by Evolving Images from Noise,
IWICPAS06(251-259).
Springer DOI 0608
BibRef

Warwick, K.[Kevin], Gasson, M.[Mark],
Practical Interface Experiments with Implant Technology,
CVHCI04(7).
Springer DOI 0505
Direct interaction with HNS. BibRef

Land, M.F.,
Pattern perception in animals remote from man,
ICPR04(III: 1-1).
IEEE DOI 0409
BibRef

Kim, S.[Sungho], Jang, G.J.[Gi-Jeong], Lee, W.H.[Wang-Heon], Kweon, I.S.[In So],
How human visual systems recognize objects: A Novel Computational Model,
ICPR04(III: 61-64).
IEEE DOI 0409
BibRef

Kadyrov, A., Petrou, M.,
Reverse Engineering the Human Vision System: A Possible Explanation for the Role of Microsaccades,
ICPR04(IV: 64-67).
IEEE DOI 0409
BibRef

Sinthanayothin, C.[Chanjira], Phoojaruenchanachai, S.[Suthee],
Multimedia Simulation of Colour Blindness and Colour Enhancement Assisted Colour Blindness,
CAIP03(270-277).
Springer DOI 0311
BibRef

Bähr, H.P.[Hans-Peter], Lenk, H.[Hans],
Steps to Cognition in Image Analysis and in Philosophy: A Comparison,
PCV02(B: 16). 0305
BibRef

Knoblich, U.[Ulf], Riesenhuber, M.[Maximilian], Freedman, D.J.[David J.], Miller, E.K.[Earl K.], Poggio, T.[Tomaso],
Visual Categorization: How the Monkey Brain Does It,
BMCV02(273 ff.).
Springer DOI 0303
BibRef

Maass, W.[Wolfgang], Legenstein, R.[Robert], Markram, H.[Henry],
A New Approach towards Vision Suggested by Biologically Realistic Neural Microcircuit Models,
BMCV02(282 ff.).
Springer DOI 0303
BibRef

Bolme, D.S.[David S.], Draper, B.A.[Bruce A.],
Interpreting LOC Cell Responses,
BMCV02(294 ff.).
Springer DOI 0303
BibRef

Santos, L.M.[Luís M.], du Buf, J.M.H.[J.M. Hans],
Computational Cortical Cell Models for Continuity and Texture,
BMCV02(90 ff.).
Springer DOI 0303
BibRef

Bulthoff, H.H., Wallraven, C., Graf, A.,
View-based dynamic object recognition based on human perception,
ICPR02(III: 768-776).
IEEE DOI 0211
BibRef

Harvey, R.W.[Richard W.], King, S.[Stephen], Aldridge, R.P.[Richard P.], Bangham, J.A.[J. Andrew],
Comparing image resamplers via a model of the human vision system,
BMVC97(xx-yy).
HTML Version. 0209
BibRef

Morita, S.[Satoru],
Three Dimensional Short-term Memory Image,
ICPR06(I: 1226-1230).
IEEE DOI 0609
BibRef

Morita, S.[Satoru],
Simulating Eye Movement in Reading using Short-term Memory,
VI02(206).
PDF File. 0208
BibRef

Burke, M.A.[Mary A.],
Personal Construct Theory as a Research Tool for Analysing User Perceptions of Photographs,
CIVR02(378-386).
Springer DOI 0208
BibRef

Knoblich, U.[Ulf], Riesenhuber, M.[Maximilan],
Stimulus Simplification and Object Representation: A Modeling Study,
MIT AIM-2002-004, March 2002.
WWW Link. 0205
BibRef

Michaels, R.J.[Ross J.], Boult, T.E.[Terrance E.],
Efficient Evaluation of Classification and Recognition Systems,
CVPR01(I:50-57).
IEEE DOI 0110
General approach for evaluations. BibRef

Webster, M.A.[Michael A.], McDermott, K.[Kyle], Bebis, G.N.[George N.],
Fitting the World to the Mind: Transforming Images to Mimic Perceptual Adaptation,
ISVC07(I: 757-768).
Springer DOI 0711
BibRef

Webster, M.A.,
Visual Adaptation and the Relative Nature of Perception,
ICIP01(II: 8-11).
IEEE DOI 0108
BibRef

Pelz, J., Canosa, R., Babcock, J., Barber, J.,
Visual Perception in Familiar, Complex Tasks,
ICIP01(II: 12-15).
IEEE DOI 0108
BibRef

Grossberg, S.,
The laminar architecture of visual cortex and image processing technology,
CIAP99(2-9).
IEEE DOI 9909
BibRef

Keil, M., Cristobal, G., Escalante, B., du Buf, H., Pessoa, L.,
AMOVIP: advanced modeling of visual information processing,
CIAP99(1208-1213).
IEEE DOI 9909
BibRef

Faure, A., Shevtsova, N., Golovan, A., Klepach, A., Cachard, O., Rybak, I.,
Modeling of some spatio-temporal aspects of visual information processing in the retinal neural network,
ICPR94(B:491-493).
IEEE DOI 9410
BibRef

Chen, S.S.,
A Two-Dimensional Solution to the Problem of Zero-Crossings and Spatiotemporal Interpolation in Computer and Human Vision,
ICCV87(476-480). BibRef 8700

Cowie, R.I.D.,
The Viewer's Place in Theories of Vision,
IJCAI83(952-958). BibRef 8300

Zucker, S.W.,
Computer Vision and Human Perception: An Essay on the Discovery of Constraints,
IJCAI81(1102-1116). BibRef 8100

Jarvis, R.A.,
Some Observations on the Human Visual Perception System and their Relevance to Computer Vision Research,
PurdueTR-77-6, November 1977. Analysis of source of puzzlement and ambiguity of optical illusions and psych. experiments; human visual system; not modularly organized - not functionally independent; use of restricted world model should be more successful - in most situations; low level/high level; psychophysicist/empiricist; it's in the scene/it's a learned trait; from data; reference to visual memory. BibRef 7711

Chapter on Books, Collections, Overviews, General, and Surveys continues in
Receptive Field Issues .