4.9.5 Other Space Variant Sensors and Models

Wallquist, D.L.[Donald L.], Kuperman, G.G.[Gilbert G.],
Retinal information mapping system,
US_Patent4,494,838, Jan 22, 1985
WWW Link. BibRef 8501

Anderson, C.H.[Charles H.], Carlson, C.R.[Curtis R.],
Image-data reduction technique,
US_Patent4,692,806, Sep 8, 1987
WWW Link. Foveated camera BibRef 8709

Katsinis, C., and Poularikas, A.D.,
Analysis of a Sampling Technique Applied to Biological Images,
PAMI(9), No. 6, November 1987, pp. 832-835. Sample in a spiral, to generate a 1-D version of the image for Fourier analysis, etc. BibRef 8711

Watson, A.B.[Andrew B.],
The Cortex Transform: Rapid Computation of Simulated Neural Images,
CVGIP(39), No. 3, September 1987, pp. 311-327.
Elsevier DOI BibRef 8709

Wray, W.R.[William R.],
Method and apparatus for image processing with field portions,
US_Patent4,750,211, Jun 7, 1988
WWW Link. Foveated processing BibRef 8806

Tong, F.[Frank], Li, Z.N.[Ze-Nian],
Reciprocal-Wedge Transform for Space-Variant Sensing,
PAMI(17), No. 5, May 1995, pp. 500-511.
IEEE DOI BibRef 9505
Earlier: ICCV93(330-334).
IEEE DOI Shape most ideal for road following -- details in front of the camera. BibRef

Tong, F.[Frank], Li, Z.N.[Ze-Nian],
Camera Model for Reciprocal-Wedge Transform,
IVC(14), No. 5, June 1 1996, pp. 339-351.
Elsevier DOI 9607
BibRef

Li, Z.N.[Ze-Nian], Tong, F.[Frank],
Reciprocal-Wedge Transform in Active Stereo,
PRAI(13), No. 1, February 1999, pp. 25. BibRef 9902

Yamamoto, H., Yeshurun, Y., Levine, M.D.,
An Active Foveated Vision System: Attentional Mechanisms and Scan Path Convergence Measures,
CVIU(63), No. 1, January 1996, pp. 50-65.
DOI Link 9703
BibRef

Kemeny, S.E., Panicacci, R., Pain, B., Matthies, L.H., Fossum, E.R.,
Multiresolution Image Sensor,
CirSysVideo(7), No. 4, August 1997, pp. 575-583.
IEEE Top Reference. 9708
BibRef

Fischl, B., Cohen, M.A., Schwartz, E.L.,
The Local-Structure of Space-Variant Images,
NeurNet(10), No. 5, July 1997, pp. 815-831. 9708
BibRef

Bolduc, M., Levine, M.D.,
A Real-Time Foveated Sensor with Overlapping Receptive-Fields,
RealTimeImg(3), No. 3, June 1997, pp. 195-212. 9708
BibRef

Lim, F.L., Venkatesh, S., West, G.A.W.,
Resolution Consideration in Spatially Variant Sensors,
IVC(15), No. 12, December 1997, pp. 901-912.
Elsevier DOI 9802
BibRef
Earlier: ICPR96(I: 795-799).
IEEE DOI 9608
BibRef
And:
Tracking in a Space Variant Active Vision System,
ICPR96(I: 745-749).
IEEE DOI 9608
(Curtin Univ. of Technology, AUS) BibRef

Shah, S., Aggarwal, J.K.,
Mobile Robot Navigation and Scene Modeling Using Stereo Fish-Eye Lens System,
MVA(10), No. 4, 1997, pp. 159-173.
Springer DOI 9801
Fisheye Lens. BibRef
Earlier:
Depth estimation using stereo fish-eye lenses,
ICIP94(II: 740-744).
IEEE DOI 9411
BibRef

Soumekh, M.,
Multiresolution Dynamic Image Representation with Uniform and Foveal Spiral Scan Data,
IP(7), No. 11, November 1998, pp. 1627-1635.
IEEE DOI BibRef 9811

Bolduc, M.[Marc], Levine, M.D.[Martin D.],
A Review of Biologically Motivated Space-Variant Data Reduction Models for Robotic Vision,
CVIU(69), No. 2, February 1998, pp. 170-184.
DOI Link BibRef 9802

Kuyel, T., Geisler, W., Ghosh, J.,
Retinally Reconstructed Images: Digital Images Having a Resolution Match with the Human Eye,
SMC-A(29), No. 2, March 1999, pp. 235.
IEEE Top Reference. BibRef 9903

Early, D.S., Long, D.G.,
Image reconstruction and enhanced resolution imaging from irregular samples,
GeoRS(39), No. 2, February 2001, pp. 291-302.
IEEE Top Reference. 0104
BibRef

Ramponi, G., Carrato, S.,
An adaptive irregular sampling algorithm and its application to image coding,
IVC(19), No. 7, May 2001, pp. 451-460.
Elsevier DOI 0104
BibRef

Wang, Z.[Zhou], Bovik, A.C.,
Embedded foveation image coding,
IP(10), No. 10, October 2001, pp. 1397-1410.
IEEE DOI 0110
BibRef

Lee, S.H.[Sang-Hoon], Bovik, A.C.,
Fast algorithms for foveated video processing,
CirSysVideo(13), No. 2, February 2003, pp. 149-162.
IEEE Top Reference. 0301

See also Foveated video compression with optimal rate control. BibRef

Sheikh, H.R.[Hamid R.], Evans, B.L.[Brian L.], Bovik, A.C.[Alan C.],
Real-time foveation techniques for low bit rate video coding,
RealTimeImg(9), No. 1, February 2003, pp. 27-40.
Elsevier DOI 0304
BibRef

Su, J., Xi, Y., Hanebeck, U.D., Schmidt, G.,
Nonlinear Visual Mapping Model for 3-D Visual Tracking With Uncalibrated Eye-in-Hand Robotic System,
SMC-B(34), No. 1, February 2004, pp. 652-659.
IEEE Abstract. 0403

See also Incremental Learning With Balanced Update on Receptive Fields for Multi-Sensor Data Fusion. BibRef

Nishino, K.[Ko], Nayar, S.K.[Shree K.],
Corneal Imaging System: Environment from Eyes,
IJCV(70), No. 1, October 2006, pp. 23-40.
Springer DOI 0606
BibRef
Earlier:
The world in an eye,
CVPR04(I: 444-451).
IEEE DOI 0408
What is reflected in the eye itself. BibRef

Gurtner, A., Greer, D.G., Glassock, R., Mejias, L., Walker, R.A., Boles, W.W.,
Investigation of Fish-Eye Lenses for Small-UAV Aerial Photography,
GeoRS(47), No. 3, March 2009, pp. 709-721.
IEEE DOI 0903
BibRef

Rivenson, Y., Stern, A.,
Compressed Imaging With a Separable Sensing Operator,
SPLetters(16), No. 6, June 2009, pp. 449-452.
IEEE DOI 0904
BibRef

Weber, C.[Cornelius], Triesch, J.[Jochen],
Implementations and Implications of Foveated Vision,
RPCS(2), No. 1, January 2009, pp. 75-85.
WWW Link. 1001
BibRef

Lu, X.Q.[Xiao-Qiang], Li, X.L.[Xue-Long],
Multiresolution Imaging,
Cyber(44), No. 1, January 2014, pp. 149-160.
IEEE DOI 1402
cameras BibRef

Boyer, C., Weiss, P., Bigot, J.,
An Algorithm for Variable Density Sampling with Block-Constrained Acquisition,
SIIMS(7), No. 2, 2014, pp. 1080-1107.
DOI Link 1407
BibRef

Posch, C., Serrano-Gotarredona, T., Linares-Barranco, B., Delbruck, T.,
Retinomorphic Event-Based Vision Sensors: Bioinspired Cameras With Spiking Output,
PIEEE(102), No. 10, October 2014, pp. 1470-1484.
IEEE DOI 1410
cameras BibRef

Chauffert, N.[Nicolas], Ciuciu, P.[Philippe], Kahn, J.[Jonas], Weiss, P.[Pierre],
Variable Density Sampling with Continuous Trajectories,
SIIMS(7), No. 4, 2014, pp. 1962-1992.
DOI Link 1412
Reduce acquisition time. BibRef

Jang, J.S.[Jae Seok], Choi, S.H.[Soo Ho], Jung, G.S.[Gi Sook], Jung, S.K.[Soon Ki],
Focused augmented mirror based on human visual perception,
VC(33), No. 5, May 2017, pp. 625-636.
WWW Link. 1704
BibRef

Nobunaga, T., Tanaka, H., Tadokoro, Y.,
Reconstruction for Spatially Distributed Single-Pixel Imaging Based on Pattern Filtering,
SPLetters(25), No. 5, May 2018, pp. 705-709.
IEEE DOI 1805
Cameras, Image coding, Image reconstruction, Radio frequency, Receivers, Sensors, Imaging, nanoelectromechanical systems (NEMS), single-pixel camera BibRef

Tilmon, B.[Brevin], Jain, E.[Eakta], Ferrari, S.[Silvia], Koppal, S.[Sanjeev],
Fast Foveating Cameras for Dense Adaptive Resolution,
PAMI(44), No. 9, September 2022, pp. 4867-4878.
IEEE DOI 2208
Cameras, Mirrors, Micromechanical devices, Sensors, Image resolution, Imaging, Optical sensors, Computational photography, computer vision BibRef

Kumar, V.R.[Varun Ravi], Klingner, M.[Marvin], Yogamani, S.[Senthil], Bach, M.[Markus], Milz, S.[Stefan], Fingscheidt, T.[Tim], Mäder, P.[Patrick],
SVDistNet: Self-Supervised Near-Field Distance Estimation on Surround View Fisheye Cameras,
ITS(23), No. 8, August 2022, pp. 10252-10261.
IEEE DOI 2208
Cameras, Estimation, Geometry, Task analysis, Semantics, Training, Adaptation models, Depth estimation, semantic segmentation, self-supervised learning BibRef

Qian, Y.Q.[Ye-Qiang], Yang, M.[Ming], Dolan, J.M.[John M.],
Survey on Fish-Eye Cameras and Their Applications in Intelligent Vehicles,
ITS(23), No. 12, December 2022, pp. 22755-22771.
IEEE DOI 2212
Cameras, Intelligent vehicles, Distortion, Intelligent sensors, Image representation, Calibration, Task analysis, Fish-eye camera, distortion and dataset BibRef

Oh, W.[Wooseok], Yoo, H.[Hwiyeon], Ha, T.[Taeoh], Oh, S.H.[Song-Hwai],
Local Selective Vision Transformer for Depth Estimation Using a Compound Eye Camera,
PRL(167), 2023, pp. 82-89.
Elsevier DOI 2303
Compound Eye, Depth Estimation, Vision Transformer BibRef

Kumar, V.R.[Varun Ravi], Eising, C.[Ciarán], Witt, C.[Christian], Yogamani, S.K.[Senthil Kumar],
Surround-View Fisheye Camera Perception for Automated Driving: Overview, Survey and Challenges,
ITS(24), No. 4, April 2023, pp. 3638-3659.
IEEE DOI 2304
Cameras, Distortion, Sensors, Solid modeling, Lenses, Task analysis, Automotive engineering, Automated driving, multi-task learning BibRef

Zheng, Y.J.[Ya-Jing], Zheng, L.X.[Ling-Xiao], Yu, Z.F.[Zhao-Fei], Huang, T.J.[Tie-Jun], Wang, S.[Song],
Capture the Moment: High-Speed Imaging With Spiking Cameras Through Short-Term Plasticity,
PAMI(45), No. 7, July 2023, pp. 8127-8142.
IEEE DOI 2306
Cameras, Image reconstruction, Low latency communication, Firing, Reconstruction algorithms, Vision sensors, Streaming media, spiking cameras BibRef

Zheng, Y.J.[Ya-Jing], Zheng, L.X.[Ling-Xiao], Yu, Z.F.[Zhao-Fei], Shi, B.X.[Bo-Xin], Tian, Y.H.[Yong-Hong], Huang, T.J.[Tie-Jun],
High-speed Image Reconstruction through Short-term Plasticity for Spiking Cameras,
CVPR21(6354-6363)
IEEE DOI 2111
Visualization, Streaming media, Reconstruction algorithms, Cameras, Brain modeling, Retina, Spatiotemporal phenomena BibRef

Ducrocq, J.[Julien], Caron, G.[Guillaume],
A Survey on Adaptive Cameras,
IJCV(132), No. 8, August 2024, pp. 2989-3022.
Springer DOI 2408
Lensless, dioptric, catadioptric and polydioptric cameras. Able to change geometric settings. BibRef

Jakab, D.[Daniel], Deegan, B.M.[Brian Michael], Sharma, S.[Sushil], Grua, E.M.[Eoin Martino], Horgan, J.[Jonathan], Ward, E.[Enda], van de Ven, P.[Pepijn], Scanlan, A.[Anthony], Eising, C.[Ciarán],
Surround-View Fisheye Optics in Computer Vision and Simulation: Survey and Challenges,
ITS(25), No. 9, September 2024, pp. 10542-10563.
IEEE DOI 2409
Optical imaging, Optical distortion, Cameras, Optical sensors, Lenses, Adaptive optics, Surround-view, fisheye, fisheye projection BibRef

Loukkal, A.[Abdelhak], Grandvalet, Y.[Yves], Drummond, T.W.[Tom W.], Li, Y.[You],
Driving among Flatmobiles: Bird-Eye-View occupancy grids from a monocular camera for holistic trajectory planning,
WACV21(51-60)
IEEE DOI 2106
Trajectory planning, Semantics, Redundancy, Neural networks, Tools BibRef

Kumar, V.R.[Varun Ravi], Klingner, M.[Marvin], Yogamani, S.[Senthil], Milz, S.[Stefan], Fingscheidt, T.[Tim], Mäder, P.[Patrick],
SynDistNet: Self-Supervised Monocular Fisheye Camera Distance Estimation Synergized with Semantic Segmentation for Autonomous Driving,
WACV21(61-71)
IEEE DOI 2106
Measurement, Geometry, Semantics, Estimation, Network architecture, Cameras BibRef

Yin, X.Q.[Xiao-Qing], Wang, X.C.[Xin-Chao], Yu, J.[Jun], Zhang, M.J.[Mao-Jun], Fua, P.[Pascal], Tao, D.C.[Da-Cheng],
FishEyeRecNet: A Multi-context Collaborative Deep Network for Fisheye Image Rectification,
ECCV18(X: 475-490).
Springer DOI 1810
BibRef

Li, L.[Lun], Hao, Y.P.[Yong-Ping], Liu, F.L.[Feng-Li],
Multi-channel and large angle-of-view imaging systematic research of bio-inspired compound eye,
ICIVC17(592-596)
IEEE DOI 1708
Compounds, Lenses, Optical arrays, Optical fibers, Optical imaging, compound eye imagery, fibre-optic faceplate, large field, optical, design BibRef

Perez-Yus, A., Lopez-Nicolas, G., Guerrero, J.J.,
A novel hybrid camera system with depth and fisheye cameras,
ICPR16(2789-2794)
IEEE DOI 1705
Calibration, Cameras, Distortion, Image sensors, Robot, vision, systems BibRef

Huber, S.[Scott], Selby, B.[Ben], Tripp, B.P.[Bryan P.],
Design of a Saccading and Accommodating Robot Vision System,
CRV16(350-357)
IEEE DOI 1612
accommodation;foveating lens;robot head;saccade;vision BibRef

Kawano, Y., Yanaka, K.,
Portable integral photography input/output system using tablet PC and fly's eye lenses,
3DUI13(141-142)
IEEE DOI 1406
lenses BibRef

Gehrke, R., Greiwe, A.,
Multispectral Image Capturing with Foveon Sensors,
UAV-g13(151-156).
DOI Link 1311
BibRef

Alsam, A.[Ali], Rivertz, H.J.[Hans Jakob], Sharma, P.[Puneet],
What the Eye Did Not See: A Fusion Approach to Image Coding,
ISVC12(II: 199-208).
Springer DOI 1209
BibRef

Schoberl, M.[Michael], Seller, J.[Jurgen], Foessel, S.[Siegfried], Kaup, A.[Andre],
Increasing imaging resolution by covering your sensor,
ICIP11(1897-1900).
IEEE DOI 1201
Non-regular sampling pattern. BibRef

Okutsu, R.[Ryota], Terabayashi, K.[Kenji], Aragaki, Y.[Yohei], Shimomura, N.[Noriko], Umeda, K.[Kazunori],
Generation of Overhead View Images by Estimating Intrinsic and Extrinsic Camera Parameters of Multiple Fish-Eye Cameras,
MVA09(447-).
PDF File. 0905
BibRef

Larcom, R.[Ronald], Coffman, T.R.[Thayne R.],
Foveated image formation through compressive sensing,
Southwest10(145-148).
IEEE DOI 1005
BibRef

Butko, N.J.[Nicholas J.], Movellan, J.R.[Javier R.],
Optimal scanning for faster object detection,
CVPR09(2751-2758).
IEEE DOI 0906
Scan based on human visual scanning to optimize search. Simulated fovaal scanning. BibRef

Jakovljevic, R.[Radomir], Beric, A.[Aleksandar],
N-meander scanning trace a method for the on-chip bandwidth reduction,
ICIP08(1404-1407).
IEEE DOI 0810
BibRef

Portman, N.[Nataliya], Grenander, U.[Ulf], Vrscay, E.R.[Edward R.],
New Computational Methods for the Construction of 'Darcyan' Biological Coordinate Systems,
ICIAR07(143-156).
Springer DOI 0708
BibRef

Pinho, P.[Pedro], Baltazar, J.[Joel], Pereira, F.[Fernando],
Integrating Low-Level and Semantic Visual Cues for Improved Image-to-Video Experiences,
ICIAR06(II: 832-843).
Springer DOI 0610
To display detail on small display. visual cures to display interesting parts. BibRef

Fisher, R.B.,
Scene recovery from many randomly distributed single pixel cameras,
ICPR06(I: 988-991).
IEEE DOI 0609
BibRef

Ishii, A., Okada, R.,
Perfect perspective projection using a varifocal mirror and its application to three-dimensional close-up imaging,
ICPR04(III: 270-273).
IEEE DOI 0409
BibRef

Katsman, I., Rivlin, E.,
The mantis head camera (why the praying mantis is so good at catching its prey),
CIAP03(612-618).
IEEE DOI 0310
BibRef

Neumann, T.R.[Titus R.],
Modeling Insect Compound Eyes: Space-Variant Spherical Vision,
BMCV02(360 ff.).
Springer DOI 0303
BibRef

Ishihara, Y.[Yukio], Morita, S.[Satoru],
Reading Speed and Superiority of Right Visual Field on Foveated Vision,
BMCV02(70 ff.).
Springer DOI 0303
BibRef

Palacios, A.R., Plazas, J.V.,
A foveal architecture for stereo matching,
ICIP02(II: 521-524).
IEEE DOI 0210
BibRef

Su, M.S., Hwang, W.L., Cheng, K.Y.,
A Variational Calculus Approach to Multiresolution Image Mosaic,
ICIP01(II: 245-248).
IEEE DOI 0108
BibRef

Camacho, P.[Pelegrín], Arrebola, F.[Fabián], Sandoval, F.[Francisco],
Adaptive fovea structures for space-variant sensors,
CIAP97(I: 422-429).
Springer DOI 9709
BibRef

Seemann, T.[Torsten], Tischer, P.E.[Peter E.], and Meyer, B.[Bernd],
History-based blending of image sub-predictors,
PCS97(147-151). adaptive coding
WWW Link. BibRef 9700

Ohtsuka, Y., Hamamoto, T., Aizawa, K., Hatori, M.,
A New Image Sensor with Space Variant Sampling Control on a Focal Plane,
MVA98(xx-yy). BibRef 9800
And:
Spatially variant flexible sampling control integrated on an image sensor,
ICIP98(I: 483-487).
IEEE DOI 9810
BibRef

Peters, M.W.[Mark W.], Sowmya, A.[Arcot],
A Real-Time Variable Sampling Technique: DIEM,
ICPR98(Vol I: 316-321).
IEEE DOI 9808
Title had: for Active Vision BibRef

Arrebola, F.[Fabián], Camacho, P.[Pelegrín], Sandoval, F.[Francisco],
Generalization of shifted fovea multiresolution geometries applied to object detection,
CIAP97(II: 477-484).
Springer DOI 9709
BibRef

Du, F.L.[Feng-Lei], Izatt, A.[Andrew], Bandera, C.[Cesar],
An MIMD Computing Platform for a Hierarchical Foveal Machine Vision System,
CVPR96(720-725).
IEEE DOI BibRef 9600

Camacho, P.[Pelegrin], Arrebola, F., Sandoval, F.,
Shifted fovea multiresolution geometries,
ICIP96(I: 307-310).
IEEE DOI BibRef 9600

Ikeda, O.,
Analysis of the optical array imaging system and construction of an adaptive imaging algorithm,
ICIP95(I: 125-128).
IEEE DOI 9510
BibRef

Lee, J.A.C.[Jung Ah Choi], Munson, Jr., D.C.,
Effectiveness of spatially-variant apodization,
ICIP95(I: 147-150).
IEEE DOI 9510
BibRef

Philips, W.,
Adaptively subsampled image coding with warped polynomials,
ICIP94(II: 366-370).
IEEE DOI 9411
BibRef

Dunn, D.F.,
An invariant pattern representation based on nonuniform sampling in the human visual system,
ICIP94(II: 600-604).
IEEE DOI 9411
BibRef

Kraaijveld, M.A.,
A non-linear projection method based on Kohonen's topology preserving maps,
ICPR92(II:41-45).
IEEE DOI 9208
BibRef

Chapter on Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar continues in
Optical Sensors for Machine Vision .