4.9 Sensors for Machine Vision, Image Sensors

Chapter Contents (Back)
Cameras. Sensors.
See also Space Based, Satellite Sensors.
See also Event Camera.

Ambarella,
2017
WWW Link. Vendor, Sensors. High res video, compact,

Equinox Corporation,
2001.
WWW Link. Vendor, Sensors. Sensors for vision. Derived from the Johns Hopkins work.
See also Equinox: Human Identification at a Distance.

Think Spectrally,
2005
WWW Link. Vendor, Image Analysis. Provides systems and solutions based on spectral imaging techniques, typically used for analysis of materials and objects.

Vision Components GmbH,
2009
WWW Link. Vendor, Sensors. Industrial imaging systems. Processing on board.

MegaVision,
1983.
WWW Link. Vendor, Sensors. Digital camera products. Camera backs, accessories, software.

Navitar Machine Vision,
1979.
WWW Link. Vendor, Sensors. Lenses, lighting systems, etc.

StarDot Technologies,
1989 Vendor, Sensors.
WWW Link. Web cameras, stand alone automatically upload to the server or serve as the web server directly.

Axis Communications,
1984 Vendor, Sensors.
WWW Link. Sweden. Web cameras, stand alone auitomatically upload to the server or serve as the web server directly. They can assign an IP so the camera is directly on the network.

Matrix Vision,
2007 Vendor, Sensors.
WWW Link. Various basic image processing systems, cameras, etc.

Chromasens,
1974. Vendor, Sensors.
HTML Version. Industrial sensors, line scanners, color analysis.

CVonline: Image Physics,
CV-OnlineJuly 2001.
HTML Version. Survey, Image Formation. This includes color and other topics. BibRef 0107

CVonline: Sensors and their Properties,
CV-OnlineJuly 2001.
HTML Version. Survey, Sensors. Survey, Cameras. BibRef 0107

Tessera Technologies,
1990.
WWW Link. Vendor, Imaging Technology. Single chip implementations.
See also FotoNation.

OmniVision Technologies,
1995.
WWW Link. Vendor, Sensors. Variety of embedded sensors, mobile cameras.

Insilica Corp.,
2003.
WWW Link. Vendor, Sensors. Focus on capture and display of image, design of chips, etc. Processors for cameras.

Aptina Imaging,
2008.
WWW Link. Vendor, Sensors. CMOS imaging solutions. Sensors, cameras, processors. Spin off from Micron semiconductors.

DALSA Corporation,
2010.
WWW Link. Vendor, Sensors. Sensors for industrial applications. Acquired by Teledyne at the end of 2010. e.g. 48MP sensors.

Allied Vision Technologies,
1989.
HTML Version. Vendor, Sensors. FireWire interface sensors.

Pelican Imaging Corporation,
2008
HTML Version. Vendor, Sensors. Vendor, Depth Sensors. Commercialize computational array cameras for the mobile (phone) market. Some work derived from the Columbia CAVE group. Depth on smartphone.
See also Columbia University.

Big Shot Camera,
2011
WWW Link. Vendor, Sensors. Bigshot is an educational camera for kids and adults alike. Learn the science. Build the camera. Capture your world. From the Columbia work.
See also Columbia University. Currently a prototype, not for sale yet.

Kak, A.C., and Albus, J.S.,
Sensors for Intelligent Robots,
HIR84(XX-YY). Survey, Cameras. BibRef 8400
And: Purdue-TR-84-2, January 1984. Review of various sensors for robotic applications BibRef

Hauptmann, P.[Peter],
Sensors: Principles and Applications,
Prentice HallInc. Englewood Cliffs, NJ, 1993. ISBN 0-13-805789-3. Robotics sensors, not just cameras. BibRef 9300

Moore, G.A.,
Design of a practical scanner unit for precision analysis of micrographs,
PR(3), No. 2, July 1971, pp. 91-98.
Elsevier DOI 0309
BibRef

Golab, T.J., Ledley, R.S., Rotolo, L.S.,
FIDAC: Film input to digital automatic computer,
PR(3), No. 2, July 1971, pp. 123-156.
Elsevier DOI 0309
Early scanner system. How times have changed. BibRef

Palmieri, G.,
Image devices for pattern recognition,
PR(3), No. 2, July 1971, pp. 157-168.
Elsevier DOI 0309
Image dissector, plumbicon tube devices. BibRef

Jacobson, A.D., Beard, T.D., Bleha, W.P., Margerum, J.D., Wong, S.Y.,
The liquid crystal light valve, an optical-to-optical interface device,
PR(5), No. 1, March 1973, pp. 13-18.
Elsevier DOI 0309
BibRef

Budrikis, Z.L.[Zigmantas L.], Netravali, A.N.[Arun N.],
A new lightpen for raster displays,
CVGIP(32), No. 3, December 1985, pp. 359-383.
Elsevier DOI 0501
BibRef

Hatamian, M., Budrikis, Z.L., Kubik, P.S., Netravali, A.N.,
Accurate lightpen,
CVGIP(39), No. 2, August 1987, pp. 246-257.
Elsevier DOI 0501
Improve accuracy of the lightpen. BibRef

Cox, I.J., Sheppard, C.J.R.,
Digital image processing of confocal images,
IVC(1), No. 1, February 1983, pp. 52-56.
Elsevier DOI 0401
Images from a confocal scanning optical microscope are presented. BibRef

Fitzmaurice, G.W.[George W.], Balakrisnan, R.[Ravin], Kurtenbach, G.[Gordon],
Sampling, synthesis, and input devices,
CACM(42), No. 8, August 1999, pp. 54-63. Hardware. descriptions of devices2-D and 3-D scanners. BibRef 9908

Nguyen, M.K., Faye, C., Eglin, L., Truong, T.T.,
Apparent image formation by compton-scattered photons in gamma-ray imaging,
SPLetters(8), No. 9, September 2001, pp. 248-251.
IEEE Top Reference. 0110
BibRef

Metzler, S.D., Bowsher, J.E., Smith, M.F., Jaszczak, R.J.,
Analytic determination of pinhole collimator sensitivity with penetration,
MedImg(20), No. 8, August 2001, pp. 730-741.
IEEE Top Reference. 0110
BibRef

Metzler, S.D., Moore, S.C.,
Analytic Determination of Rectangular-Pinhole Sensitivity With Penetration,
MedImg(39), No. 4, April 2020, pp. 833-843.
IEEE DOI 2004
Apertures, Photonics, Sensitivity, Collimators, Detectors, Image resolution, Imaging, SPECT, high resolution BibRef

Metzler, S.D., Bowsher, J.E., Greer, K.L., Jaszczak, R.J.,
Analytic determination of the pinhole collimator's point-spread function and RMS resolution with penetration,
MedImg(21), No. 8, August 2002, pp. 878-887.
IEEE Top Reference. 0301
BibRef

Accorsi, R., Metzler, S.D.,
Analytic Determination of the Resolution-Equivalent Effective Diameter of a Pinhole Collimator,
MedImg(23), No. 6, June 2004, pp. 750-763.
IEEE Abstract. 0406
BibRef

Huesman, R.,
Correction to 'Analytic determination of pinhole collimator sensitivity with penetration',
MedImg(20), No. 9, September 2001, pp. 981-981.
IEEE Top Reference. 0110
BibRef

Aggarwal, M.[Manoj], Ahuja, N.[Narendra],
A Pupil-Centric Model of Image Formation,
IJCV(48), No. 3, July-August 2002, pp. 195-214.
DOI Link 0207
There are anomalies in the performance of standard imaging models when composing omnifocus images and estimating depth. A pupil-centric model more closely models the actual imaging systems. BibRef

Aggarwal, M.[Manoj], Ahuja, N.[Narendra],
A New Imaging Model,
ICCV01(I: 82-89).
IEEE DOI 0106
Analysis of lens systems. BibRef

Xu, N.[Ning], Tan, K.[Karhan], Arora, H., Ahuja, N.,
Generating omnifocus images using graph cuts and a new focus measure,
ICPR04(IV: 697-700).
IEEE DOI 0409
BibRef

Newell, J.C., Isaacson, D., Mueller, J.L.,
Special issue on electrical impedance imaging,
MedImg(21), No. 6, June 2002, pp. 553-554.
IEEE Top Reference. 0208
BibRef

Richardot, A., McAdams, E.T.,
Harmonic analysis of low-frequency bioelectrode behavior,
MedImg(21), No. 6, June 2002, pp. 604-612.
IEEE Top Reference. 0208
Electrical Impedence Imaging. BibRef

Justice, C.O.[Christopher O.], Townshend, J.R.G.[John R.G.],
Special issue on the moderate resolution imaging spectroradiometer (MODIS): a new generation of land surface monitoring,
RSE(83), No. 1-2, November 2002, pp. 1-2. For the full table of contents:
WWW Link.
HTML Version. 0211
BibRef

Ohba, K.[Kohtaro], Ortega, J.C.P.[Jesus Carlos Pedraza], Tanie, K.[Kazuo], Tsuji, M.[Masataka], Yamada, S.[Shigeru],
Microscopic vision system with all-in-focus and depth images,
MVA(15), No. 2, December 2003, pp. 55-62.
Springer DOI 0401
BibRef

Tsuji, T., Hattori, H., Watanabe, M., Nagaoka, N.,
Development of night-vision system,
ITS(3), No. 3, September 2002, pp. 203-209.
IEEE Abstract. 0402
BibRef

Yamada, K., Soga, M.,
A compact integrated visual motion sensor for ITS applications,
ITS(4), No. 1, March 2003, pp. 35-42.
IEEE Abstract. 0402
BibRef

Alexandrov, S.A.[Sergey A.], Meredith, P., McIntyre, T.J., Zvyagin, A.V.,
Holographic digital Fourier microscopy for selective imaging of biological tissue,
IJIST(14), No. 6, 2004, pp. 253-258.
DOI Link 0412
BibRef

Grossberg, M.D.[Michael D.], Nayar, S.K.[Shree K.],
The Raxel Imaging Model and Ray-Based Calibration,
IJCV(61), No. 2, February 2005, pp. 119-137.
DOI Link 0410
BibRef
Earlier:
A General Imaging Model and a Method for Finding its Parameters,
ICCV01(II: 108-115).
IEEE DOI 0106
BibRef

Heyrman, B.[Barthélémy], Paindavoine, M.[Michel], Schmit, R.[Renaud], Letellier, L.[Laurent], Collette, T.[Thierry],
Smart camera design for intensive embedded computing,
RealTimeImg(11), No. 4, August 2005, pp. 282-289.
Elsevier DOI 0508
Real time processing. BibRef

Hicks, R.A.[R. Andrew],
Designing a mirror to realize a given projection,
JOSA-A(22), No. 2, February 2005, pp. 323-330.
WWW Link. 0601
BibRef

Ott, P.[Peter],
Imaging with tilted surfaces: an efficient matrix method for the generalized Scheimpflug condition and its application to rotationally symmetric triangulation,
JOSA-A(22), No. 6, June 2005, pp. 1077-1085.
WWW Link. 0601
BibRef

Braithwaite, I.[Ian], Blanke, M.[Mogens], Zhang, G.Q.[Guo-Qiang], Carstensen, J.M.[Jens Michael],
Design of a Vision-Based Sensor for Autonomous Pig House Cleaning,
JASP(2005), No. 13, 2005, pp. 2005-2017.
WWW Link. 0603
BibRef

Liu, X., Shaw, C.C., Altunbas, M.C., Wang, T.,
An Alternate Line Erasure and Readout (ALER) Method for Implementing Slot-Scan Imaging Technique With a Flat-Panel Detector: Initial Experiences,
MedImg(25), No. 4, April 2006, pp. 496-502.
IEEE DOI 0604
BibRef

Parys, B., Papalexandris, M.V., Cornet, A.,
Assessment of femtosecond temporal gating for imaging in biological medium by Monte Carlo simulations,
VISP(153), No. 2, April 2006, pp. 181-184.
DOI Link 0604
BibRef

Heipke, C.[Christian], Jacobsen, K.[Karsten], Mills, J.[Jon],
Theme issue: 'Digital aerial cameras',
PandRS(60), No. 6, September 2006, pp. 361-362.
Elsevier DOI 0610
BibRef

Meriaudeau, F.,
Real time multispectral high temperature measurement: Application to control in the industry,
IVC(25), No. 7, 1 July 2007, pp. 1124-1133.
Elsevier DOI 0705
High temperature measurements, CCD camera, Planck's Law, Machine vision BibRef

Narayanaswami, C.[Chandra], Raghunath, M.T.,
Expanding the digital camera's reach,
Computer(37), No. 12, December 2004, pp. 65-73.
IEEE DOI 0412
Sensors, cameras in cell phones. BibRef

Nayar, S.K.,
Computational Cameras: Redefining the Image,
Computer(39), No. 8, August 2006, pp. 30-38.
IEEE DOI 0608
BibRef

Zhou, C., Nayar, S.K.,
Computational Cameras: Convergence of Optics and Processing,
IP(20), No. 12, December 2011, pp. 3322-3340.
IEEE DOI 1112
BibRef

Neifeld, M.A.[Mark A.], Ashok, A.[Amit], Baheti, P.K.[Pawan K.],
Task-specific information for imaging system analysis,
JOSA-A(24), No. 12, December 2007, pp. B25-B41.
WWW Link. 0801
BibRef

Hasinoff, S.W.[Samuel W.], Kutulakos, K.N.[Kiriakos N.],
Confocal Stereo,
IJCV(81), No. 1, January 2009, pp. xx-yy.
Springer DOI 0901
BibRef
Earlier: ECCV06(I: 620-634).
Springer DOI 0608
Award, ECCV, HM. BibRef

Xu, Q.[Qian], Hua, J.P.[Jian-Ping], Xiong, Z.X.[Zi-Xiang], Bittner, M.L.[Michael L.], Dougherty, E.R.[Edward R.],
The effect of microarray image compression on expression-based classification,
SIViP(3), No. 1, January 2009, pp. xx-yy.
Springer DOI 0902
BibRef

Hua, J.P.[Jian-Ping], Du, Z.N.[Zhong-Niin], Xiong, Z.X.[Zi-Xiang], Wu, Q.A.[Qi-Ang], Castleman, K.R.,
Microarray Basics: Background Adjustment, Segmentation, Image Compression and Analysis of Microarray Images,
ICIP03(I: 585-588).
IEEE DOI 0312
BibRef

Gorsevski, P.V.[Pece V.], Gessler, P.E.[Paul E.],
The design and the development of a hyperspectral and multispectral airborne mapping system,
PandRS(64), No. 2, March 2009, pp. 184-192.
Elsevier DOI 0903
Remote sensing, Airborne sensor, Hyperspectral sensor; Multispectral sensor, Airborne data acquisition BibRef

Leheny, R.F., McCants, C.E.,
Technologies for Photonic Sensor Systems,
PIEEE(97), No. 6, June 2009, pp. 957-970.
IEEE DOI 0905
Survey, Sensors. BibRef

Parian, J.A.[Jafar Amiri], Cozzani, A.[Alessandro], Appolloni, M.[Matteo], Casarosa, G.[Gianluca],
New developments with design and construction of a thermal/vacuum qualified photogrammetric system,
PandRS(64), No. 3, May 2009, pp. 317-327.
Elsevier DOI 0905
Photogrammetry, Space, Accuracy, Design, Development BibRef

Liao, W., Ji, Q., Wallace, W.A.,
Approximate Nonmyopic Sensor Selection via Submodularity and Partitioning,
SMC-A(39), No. 4, July 2009, pp. 782-794.
IEEE DOI 0906
Selecting the sensor for the budget. BibRef

Domingo-Pardo, C., Goel, N., Engert, T., Gerl, J., Isaka, M., Kojouharov, I., Schaffner, H.,
A Position Sensitive gamma-Ray Scintillator Detector With Enhanced Spatial Resolution, Linearity, and Field of View,
MedImg(28), No. 12, December 2009, pp. 2007-2014.
IEEE DOI 0912
Analysis of the device. BibRef

Oku, H.[Hiromasa], and Ishikawa, M.[Masatoshi],
A rapidly deformable liquid lens,
SPIE(Newsroom), December 14, 2009.
DOI Link A piezoelectric actuator enables fast focusing of imaging systems. BibRef 0912

Gage, J., Murphy, R.R.,
Sensing Assessment in Unknown Environments: A Survey,
SMC-A(40), No. 1, January 2010, pp. 1-12.
IEEE DOI 1001
Evaluation of sensors. BibRef

Belbachir, A.N.[Ahmed Nabil], (Ed.)
Smart Cameras,
Springer2010. ISBN: 978-1-4419-0952-7
WWW Link. A vision system including the camera. Embedded systems, image processing, camera technology. Buy this book: Smart Cameras 1002
BibRef

Paulson, L.D.[Linda Dailey],
Scientists Develop Camera Made of Fabric,
Computer(43), No. 3, March 2010, pp. 20-22.
IEEE DOI 1003
The ultimate wearable sensor. Low resolution so far. BibRef

Sajda, P., Pohlmeyer, E., Wang, J., Parra, L.C., Christoforou, C., Dmochowski, J., Hanna, B., Bahlmann, C., Singh, M.K., Chang, S.F.,
In a Blink of an Eye and a Switch of a Transistor: Cortically Coupled Computer Vision,
PIEEE(98), No. 3, March 2010, pp. 462-478.
IEEE DOI 1003
BibRef

Schwind, P.[Peter], Mueller, R.[Rupert], Palubinskas, G.[Gintautas], Storch, T.[Tobias], Makasy, C.[Christine],
A geometric simulator for the hyperspectral mission ENMAP,
CGC10(84).
PDF File. 1006
BibRef

Morizur, J.F.[Jean-François], Nicholls, L.[Lachlan], Jian, P.[Pu], Armstrong, S.[Seiji], Treps, N.[Nicolas], Hage, B.[Boris], Hsu, M.[Magnus], Bowen, W.[Warwick], Janousek, J.[Jiri], Bachor, H.A.[Hans A.],
Programmable unitary spatial mode manipulation,
JOSA-A(27), No. 11, November 2010, pp. 2524-2531.
WWW Link. 1011
programmable, deformable mirrors. BibRef

Greenemeier, L.[Larry],
Kids Take Their Best Shot (and Learn about Electronics in the Process),
SciAmer(News), March 28, 2011. A Columbia computer science professor develops a build-it-yourself camera and educational Web site to promote science and engineering in young students. The Nayar Big Shot camera project.
See also Big Shot Camera.
See also Programmable Imaging: Towards a Flexible Camera. BibRef 1103

Kirmani, A.[Ahmed], Hutchison, T.[Tyler], Davis, J.[James], Raskar, R.[Ramesh],
Looking Around the Corner using Ultrafast Transient Imaging,
IJCV(95), No. 1, October 2011, pp. 13-28.
WWW Link. 1108
BibRef
Looking Around the Corner Using Transient Imaging,
ICCV09(159-166).
IEEE DOI 0909
Award, Marr Prize, HM.
WWW Link. Exploit finite speed of light. BibRef

Schneider, D.,
Camera hacking,
Spectrum(47), No. 12, December 2010, pp. 18-19.
IEEE DOI 1101
Hands On section. BibRef

Malone, N.R.[Neil R.], Brown, K.[Ken], Kilcoyne, S.[Sean], Kean, B.[Bryan],
Advances in large-format visible focal plane technology,
SPIE(Newsroom), October 17, 2011
DOI Link 1110
Finer geometry and sophisticated circuit design reduce the size and power of focal plane array detectors for a range of imaging applications, while lowering costs and increasing operability. BibRef

Cao, X.[Xun], Du, H.[Hao], Tong, X.[Xin], Dai, Q.H.[Qiong-Hai], Lin, S.[Stephen],
A Prism-Mask System for Multispectral Video Acquisition,
PAMI(33), No. 12, December 2011, pp. 2423-2435.
IEEE DOI 1110
BibRef
Earlier: A2, A3, A1, A5, Only:
A Prism-based System for Multispectral Video Acquisition,
ICCV09(175-182).
IEEE DOI
PDF File. 0909
Prism, occlusion mask and monochrome camera to capture multispectral images. BibRef

Abd-Elrahman, A., Pande-Chhetri, R., Vallad, G.,
Design and Development of a Multi-Purpose Low-Cost Hyperspectral Imaging System,
RS(3), No. 3, March 2011, pp. 570-586.
DOI Link 1203
BibRef

Hedley, J., Roelfsema, C., Phinn, S., Mumby, P.,
Environmental and Sensor Limitations in Optical Remote Sensing of Coral Reefs: Implications for Monitoring and Sensor Design,
RS(4), No. 1, January 2012, pp. 271-302.
DOI Link 1203
BibRef

Khan, A., Schaefer, D., Tao, L., Miller, D., Sun, K., Zondlo, M., Harrison, W., Roscoe, B., Lary, D.,
Low Power Greenhouse Gas Sensors for Unmanned Aerial-Vehicles,
RS(4), No. 5, May 2012, pp. 1355-1368.
DOI Link 1205
BibRef

Anthes, G.[Gary],
Smarter Photography,
CACM(55), No. 6, June 2012, pp. 16-18.
DOI Link 1205
Improvements in camera hardware, image processing, camera-photographer interfaces, and image viewing are advancing the state of the art in digital photography. BibRef

Liu, P.J., Chen, Y.J.E.,
A 10-bit CMOS DAC With Current Interpolated Gamma Correction for LCD Source Drivers,
CirSysVideo(22), No. 6, June 2012, pp. 958-965.
IEEE DOI 1206
BibRef

Kim, S.J.[Seon Joo], Lin, H.T.[Hai Ting], Lu, Z.[Zheng], Süsstrunk, S.[Sabine], Lin, S.[Stephen], Brown, M.S.[Michael S.],
A New In-Camera Imaging Model for Color Computer Vision and Its Application,
PAMI(34), No. 12, December 2012, pp. 2289-2302.
IEEE DOI 1210
BibRef
Earlier: A2, A3, A1, A6, Only:
Nonuniform Lattice Regression for Modeling the Camera Imaging Pipeline,
ECCV12(I: 556-568).
Springer DOI 1210
BibRef

Imran, M., Khursheed, K., Lawal, N., O'Nils, M., Ahmad, N.,
Implementation of Wireless Vision Sensor Node for Characterization of Particles in Fluids,
CirSysVideo(22), No. 11, November 2012, pp. 1634-1643.
IEEE DOI 1211
BibRef

Lehmann, F.[Frank], Berger, R.[Ralf], Brauchle, J.[Jörg], Hein, D.[Daniel], Meissner, H.[Henry], Pless, S.[Sebastian], Strackenbrock, B.[Bernhard], Wieden, A.[Alexander],
MACS: Modular Airborne Camera System for Generating Photogrammetric High-Resolution Products,
PFG(2011), No. 6, 2011, pp. 435-446.
WWW Link. 1211
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Brauchle, J.[Jörg], Rüther-Kindel, W.[Wolfgang], Berger, R.[Ralf],
MACS-TumbleCam: A Novel Approach for Aerial Oblique Imaging,
PFG(2014), No. 4, 2014, pp. 253-263.
DOI Link 1410
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Rüther-Kindel, W.[Wolfgang], Brauchle, J.[Jörg],
The SALSA Project: High-End Aerial 3D Camera,
UAV-g13(343-348).
DOI Link 1311
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Stebner, K., Wieden, A.,
Accuracy Analysis for Automatic Orientation of a Tumbling Oblique Viewing Sensor System,
EuroCOW14(131-136).
DOI Link 1404
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Krutz, U.[Ulrike], Börner, A.[Anko], Jahn, H.[Herbert], Paproth, C.[Carsten], Scherbaum, P.[Patrick], Schlüssler, E.[Emanuel],
System Theoretical Aspects for Designing Opto-Electronic Sensors for Remote Sensing,
PFG(2012), No. 1, 2012, pp. 39-50.
WWW Link. 1211
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Kurz, F.[Franz], Türmer, S.[Sebastian], Meynberg, O.[Oliver], Rosenbaum, D.[Dominik], Runge, H.[Hartmut], Reinartz, P.[Peter], Leitloff, J.[Jens],
Low-cost optical Camera Systems for real-time Mapping Applications,
PFG(2012), No. 2, 2012, pp. 159-176.
WWW Link. 1211
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Sarkar, M.[Mukul], Theuwissen, A.[Albert],
A Biologically Inspired CMOS Image Sensor,
Springer2013. ISBN: 978-3-642-34900-3


WWW Link. 1212
Polarization detection with CMOS sensor. BibRef

Tendero, Y.[Yohann], Morel, J.M.[Jean-Michel], Rougé, B.[Bernard],
The Flutter Shutter Paradox,
SIIMS(6), No. 2, 2013, pp. 813-847.
DOI Link 1307
BibRef

Tendero, Y.[Yohann],
The Flutter Shutter Camera Simulator,
IPOL(2012), No. 2012, pp. xx-yy.
DOI Link 1212
Code, Flutter Shutter. BibRef

Tendero, Y.[Yohann],
The Flutter Shutter Code Calculator,
IPOL(5), 2015, pp. 234-256.
DOI Link 1509
Code, Flutter Shutter. BibRef

Yamashita, T., Mitani, K.,
8K Extremely-High-Resolution Camera Systems,
PIEEE(100), No. 1, January 2013, pp. 74-88.
IEEE DOI 1301
BibRef

Takayanagi, I., Nakamura, J.,
High-Resolution CMOS Video Image Sensors,
PIEEE(100), No. 1, January 2013, pp. 61-73.
IEEE DOI 1301
BibRef

Schneider, D.,
New camera chip captures only what it needs,
Spectrum(50), No. 3, March 2013, pp. 13-14.
IEEE DOI 1303
BibRef

Liu, H.C.[Hong-Chao], Xiong, J.[Jun],
Properties of high-order ghost imaging with natural light,
JOSA-A(30), No. 5, May 2013, pp. 956-961.
WWW Link. 1305
Thermal imageing. BibRef

Caucci, L.[Luca], Barrett, H.H.[Harrison H.],
Information content of a photon and how to extract it,
SPIE(Newsroom), June 12, 2013
DOI Link 1307
A formalism based on performance of detection and estimation tasks enables the quantification of the information content of each imaged photon. BibRef

Cook, B.D.[Bruce D.], Corp, L.A.[Lawrence A.], Nelson, R.F.[Ross F.], Middleton, E.M.[Elizabeth M.], Morton, D.C.[Douglas C.], McCorkel, J.T.[Joel T.], Masek, J.G.[Jeffrey G.], Ranson, K.J.[Kenneth J.], Ly, V.[Vuong], Montesano, P.M.[Paul M.],
NASA Goddard's LiDAR, Hyperspectral and Thermal (G-LiHT) Airborne Imager,
RS(5), No. 8, 2013, pp. 4045-4066.
DOI Link 1309
BibRef

O'Gorman, L.[Lawrence],
Putting a Kinder Face on Public Cameras,
Computer(46), No. 8, 2013, pp. 79-81.
IEEE DOI 1309
Better interactive surveillance cameras. BibRef

Zhou, W.[Wei],
Comparing CMOS sensor technologies,
SPIE(Newsroom), August 1, 2013
DOI Link 1310
Full well depth is a better measure of camera performance than noise floor, the parameter that is more commonly used in the machine vision industry. BibRef

Richter, K., Mader, D., Seidl, K., Maas, H.G.,
Development of a geometric model for an all-reflective camera system,
PandRS(86), No. 1, 2013, pp. 41-51.
Elsevier DOI 1312
All-reflective camera system BibRef

Hulse, G.,
A Two Dimensional Optical Input to One Dimensional Serial Pulse Transformation Using Confocal Reflectors,
IP(23), No. 1, January 2014, pp. 439-444.
IEEE DOI 1402
image sequences BibRef

Ye, J.W.[Jin-Wei], Yu, J.Y.[Jing-Yi],
Ray geometry in non-pinhole cameras: A survey,
VC(30), No. 1, January 2014, pp. 93-112.
WWW Link. 1402
Survey, Sensors. BibRef

Lu, X.[Xun], Shi, H.L.[Hua-Liang], Lu, Y.Y.[Ya Yan],
Vertical mode expansion method for transmission of light through a single circular hole in a slab,
JOSA-A(31), No. 2, February 2014, pp. 293-300.
DOI Link 1403
Numerical approximation and analysis BibRef

Markman, A.[Adam], Javidi, B.[Bahram],
Full-phase photon-counting double-random-phase encryption,
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Duan, D.Y.[De-Yang], Zhang, L.[Lu], Xia, Y.J.[Yun-Jie],
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IEEE DOI 1405
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Signal Processing Opens New Views on Imaging,
SPMag(32), No. 5, September 2015, pp. 8-18.
IEEE DOI 1509
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Roudaki, A., Kong, J., Walia, G.S., Roudaki, A.,
PhoneLens: A Low-Cost, Spatially Aware, Mobile-Interaction Device,
HMS(44), No. 3, June 2014, pp. 301-314.
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Yang, C.H.[Cheng-Hai], Westbrook, J.K.[John K.], Suh, C.P.C.[Charles P.C.], Martin, D.E.[Daniel E.], Hoffmann, W.C.[W. Clint], Lan, Y.B.[Yu-Bin], Fritz, B.K.[Bradley K.], Goolsby, J.A.[John A.],
An Airborne Multispectral Imaging System Based on Two Consumer-Grade Cameras for Agricultural Remote Sensing,
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Scriven, G.[Gordon], Kriesel, J.[Jason], Gat, N.[Nahum],
Capturing 3D hyperspectral image cubes for dynamic events,
SPIE(Newsroom), June 19, 2014
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Fried, D.L.[David L.], Riker, J.[Jim], Agrawal, B.[Brij],
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McKay-Bukowski, D., Vierinen, J., Virtanen, I.I., Fallows, R., Postila, M., Ulich, T., Wucknitz, O., Brentjens, M., Ebbendorf, N., Enell, C.F., Gerbers, M., Grit, T., Gruppen, P., Kero, A., Iinatti, T., Lehtinen, M., Meulman, H., Norden, M., Orispaa, M., Raita, T., de Reijer, J.P., Roininen, L., Schoenmakers, A., Stuurwold, K., Turunen, E.,
KAIRA: The Kilpisjärvi Atmospheric Imaging Receiver Array: System Overview and First Results,
GeoRS(53), No. 3, March 2015, pp. 1440-1451.
IEEE DOI 1412
VHF antennas BibRef

Tessmer, M.[Manuel], Gross, H.[Herbert],
Generalized propagation of light through optical systems. I. Mathematical basics,
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Laser beam transmission BibRef

Ghanbari-Ghalehjoughi, H.[Hossein], Ahmadi-Kandjani, S.[Sohrab], Eslami, M.[Mansour],
High quality computational ghost imaging using multi-fluorescent screen,
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Kagawa, K.[Keiichiro], Mochizuki, F.[Futa], Kawahito, S.[Shoji],
A multi-aperture computational ultra-high-speed camera with ultra-fast charge modulators,
SPIE(Newsroom), February 15, 2016
DOI Link 1602
A multi-aperture camera based on optoelectrocomputational architecture enables filming at 200M frames/s through use of a CMOS image sensor with ultra-fast charge modulators and compressive sensing. BibRef

Coburn, C.A., Noble, S.D.,
ULGS II: A High-Performance Field and Laboratory Spectrogoniometer for Measuring Hyperspectral Bidirectional Reflectance Characteristics,
GeoRS(54), No. 4, April 2016, pp. 2304-2313.
IEEE DOI 1604
Azimuth BibRef

Tendero, Y.[Yohann], Morel, J.M.[Jean-Michel],
A Theory of Optimal Flutter Shutter for Probabilistic Velocity Models,
SIIMS(9), No. 1, 2016, pp. 445-480.
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Tadokoro, Y.[Yukihiro], Kasai, S.[Seiya], Ichiki, A.[Akihisa], Tanaka, H.[Hiroya],
Design Framework of Image Sensor System Based on Dynamic Range Extension by Adding Noise for Saturated Conditions,
SMCS(46), No. 8, August 2016, pp. 1121-1128.
IEEE DOI 1608
image segmentation BibRef

Nichols, J.M.,
Analytical expression for pixel-averaged point sources as observed by a focal plane array,
JOSA-A(33), No. 8, August 2016, pp. 1569-1578.
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Image detection systems, Infrared imaging, Systems design BibRef

Zalevsky, Z.[Zeev], Schwarz, A.[Ariel], Zlotnik, A.[Alex], Rabinovitz, Y.K.[Yuval Kapellner], Pinhas, H.[Hadar], Shemer, A.[Amir],
Computational expansion of imaging from visible to IR and gamma imaging systems,
SPIE(Newsroom), May 16, 2016
DOI Link 1608
The integration of a time-variable array of pinholes can be used to perform high-resolution imaging with high energy efficiency, and significantly extend the field of view when combined with an imaging lens. BibRef

Velten, A.[Andreas], Wu, D.[Di], Masia, B.[Belen], Jarabo, A.[Adrian], Barsi, C.[Christopher], Joshi, C.[Chinmaya], Lawson, E.[Everett], Bawendi, M.[Moungi], Gutierrez, D.[Diego], Raskar, R.[Ramesh],
Imaging the Propagation of Light Through Scenes at Picosecond Resolution,
CACM(59), No. 9, September 2016, pp. 79-86.
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La Manna, M.[Marco], Kine, F.[Fiona], Breitbach, E.[Eric], Jackson, J.[Jonathan], Sultan, T.[Talha], Velten, A.[Andreas],
Error Backprojection Algorithms for Non-Line-of-Sight Imaging,
PAMI(41), No. 7, July 2019, pp. 1615-1626.
IEEE DOI 1906
photon time-of-flight information encoded in light after multiple, diffuse reflections to reconstruct a three-dimensional scene. Cameras, Image reconstruction, Laser modes, Iterative methods, Nonlinear optics, Non-line-of-sight (NLOS) imaging, kaczmarz method BibRef

Angelini, M.[Mauro], Frasca, M.[Marco], Rossi, M.[Massimiliano],
Experimental implementation of a passive imaging sensor at 94 GHz,
SIViP(10), No. 7, October 2016, pp. 1241-1247.
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Cao, X., Yue, T., Lin, X., Lin, S., Yuan, X., Dai, Q., Carin, L., Brady, D.J.,
Computational Snapshot Multispectral Cameras: Toward dynamic capture of the spectral world,
SPMag(33), No. 5, September 2016, pp. 95-108.
IEEE DOI 1610
cameras BibRef

Edwards, J.,
Signal Processing Brings Fresh Capabilities to Digital Imaging: Research is leading to more sophisticated and useful imaging techniques,
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IEEE DOI 1610
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Rau, J.Y., Jhan, J.P., Li, Y.T.,
Development of a Large-Format UAS Imaging System With the Construction of a One Sensor Geometry From a Multicamera Array,
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IEEE DOI 1610
cameras BibRef

Gerken, M.[Martin], Schlemmer, H.[Harry], Münzberg, M.[Mario],
Unified characterization of imaging sensors from visible through longwave IR,
SPIE(Newsroom), August 31, 2016
DOI Link 1610
The use of minimum resolvable contrast measurements enables a uniform approach to characterizing imaging sensor performance in the visible, near-IR, and shortwave IR spectral ranges. BibRef

Honniball, C.I.[Casey I.], Wright, R.[Robert], Lucey, P.[Paul],
A new low-mass, low-power hyperspectral imager for the detection of atmospheric species,
SPIE(Newsroom), August 9, 2016
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Emerging interferometric techniques are combined with uncooled microbolometers in the Miniaturized IR Detection of Atmospheric Species instrument. BibRef

Tallon, S.,
A pocket camera with many eyes,
Spectrum(53), No. 11, November 2016, pp. 34-40.
IEEE DOI 1609
cameras BibRef

Herman, J.,
DIY film digitizer,
Spectrum(54), No. 1, January 2017, pp. 17-18.
IEEE DOI 1702
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Drusch, M., Moreno, J., del Bello, U., Franco, R., Goulas, Y., Huth, A., Kraft, S., Middleton, E.M., Miglietta, F., Mohammed, G., Nedbal, L., Rascher, U., Schüttemeyer, D., Verhoef, W.,
The FLuorescence EXplorer Mission Concept: ESA's Earth Explorer 8,
GeoRS(55), No. 3, March 2017, pp. 1273-1284.
IEEE DOI 1703
Flexible printed circuits BibRef

Le, N.T.[Nam Tuan], Hossain, M.A.[Mohammad Arif], Jang, Y.M.[Yeong Min],
A survey of design and implementation for optical camera communication,
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Elsevier DOI 1703
Camera communication (CamCom) BibRef

Wang, L.M.[Li-Ming], Chen, M.H.[Min-Hua], Rodrigues, M.[Miguel], Wilcox, D.[David], Calderbank, R.[Robert], Carin, L.[Lawrence],
Information-Theoretic Compressive Measurement Design,
PAMI(39), No. 6, June 2017, pp. 1150-1164.
IEEE DOI 1705
Algorithm design and analysis, Analytical models, Energy measurement, Measurement uncertainty, Mutual information, Noise measurement, Information-theoretic metric, compressive sensing, gradient of mutual information, information bottleneck, projection, design BibRef

Javidi, B., Shen, X., Markman, A.S., Latorre-Carmona, P., Martínez-Uso, A., Martinez Sotoca, J., Pla, F., Martínez-Corral, M., Saavedra, G., Huang, Y.P., Stern, A.,
Multidimensional Optical Sensing and Imaging System (MOSIS): From Macroscales to Microscales,
PIEEE(105), No. 5, May 2017, pp. 850-875.
IEEE DOI 1705
object recognition, 3-D endoscopy, 3-D imaging methods, 3-D imaging techniques, 3-D polarimetric imaging, MOSIS, dynamic integral imaging, human gesture recognition, information processing, integral imaging, integral imaging configurations, material identification, mid-wave-infrared photon counting, multidimensional optical sensing-imaging system, multiperspective sensing, multiplexing techniques, passive multidimensional imaging systems, photon flux, visualization technologies, Image sensors, Optical imaging, Optical sensors, Visualization, 3-D endoscopy, 3-D human activity recognition, 3-D imaging, dynamic integral imaging, long-range integral imaging, material analysis, multidimensional object recognition, multispectral imaging, photon counting, polarimetric, imaging BibRef

Bimber, O., Koppelhuber, A.,
Toward a Flexible, Scalable, and Transparent Thin-Film Camera,
PIEEE(105), No. 5, May 2017, pp. 960-969.
IEEE DOI 1705
image processing, image sensors, lensless imaging approaches, transparent flexible scalable thin-film image sensor, Apertures, Image reconstruction, Image sensors, Radon, Sensors, Transforms, Coded apertures, Radon transform, compressive sensing, image reconstruction, lens-less imaging, machine learning, thin-film, optics BibRef

Weiss, C.[Christian], Zoubir, A.M.[Abdelhak M.],
Compressed sampling and dictionary learning framework for wavelength-division-multiplexing-based distributed fiber sensing,
JOSA-A(34), No. 5, May 2017, pp. 783-797.
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Fiber optics sensors, Inverse problems, Instrumentation, measurement, and metrology, Optical sensing and sensors , Backscattering BibRef

Lima, J.A.S., Miosso, C.J., Farias, M.C.Q.,
Per-pixel mirror-based method for high-speed video acquisition,
JVCIR(47), No. 1, 2017, pp. 23-35.
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Compressive, sensing BibRef

Odamaki, M.[Makoto], Nayar, S.K.[Shree K.],
Cambits: A Reconfigurable Camera System,
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Bian, L.H.[Li-Heng], Suo, J.L.[Jin-Li], Dai, Q.H.[Qiong-Hai], Chen, F.[Feng],
Experimental comparison of single-pixel imaging algorithms,
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Baldoncini, M., Albéri, M., Bottardi, C., Minty, B., Raptis, K.G.C., Strati, V., Mantovani, F.,
Airborne Gamma-Ray Spectroscopy for Modeling Cosmic Radiation and Effective Dose in the Lower Atmosphere,
GeoRS(56), No. 2, February 2018, pp. 823-834.
IEEE DOI 1802
calibration, cosmic background radiation, cosmic ray apparatus, cosmic ray neutrons, dosimetry, gamma-ray detection, lower atmosphere BibRef

Lu, X., Zhang, W., Li, X.,
A Hybrid Sparsity and Distance-Based Discrimination Detector for Hyperspectral Images,
GeoRS(56), No. 3, March 2018, pp. 1704-1717.
IEEE DOI 1804
geophysical image processing, hyperspectral imaging, image classification, image representation, object detection, target detection BibRef

Zhang, W.X.[Wu-Xia], Lu, X.Q.[Xiao-Qiang], Li, X.,
A Coarse-to-Fine Semi-Supervised Change Detection for Multispectral Images,
GeoRS(56), No. 6, June 2018, pp. 3587-3599.
IEEE DOI 1806
Feature extraction, Hyperspectral imaging, Measurement, Semisupervised learning, Sensors, Testing, Training, semi-supervised learning BibRef

Zhang, W.X.[Wu-Xia], Lu, X.Q.[Xiao-Qiang],
The Spectral-Spatial Joint Learning for Change Detection in Multispectral Imagery,
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Zhang, W.X.[Wu-Xia], Zhang, Q.Y.[Qin-Yu], Liu, S.[Shuo], Pan, X.Y.[Xiao-Ying], Lu, X.Q.[Xiao-Qiang],
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New eyes for the IoT,
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IEEE DOI 1811
[Opinion] Cameras, Computational modeling, Silicon, Robot vision systems, Image edge detection, Task analysis BibRef

Lu, X.[Xuan], Ren, J.[Jiayu], Wang, D.W.[Ding-Wen], Deng, D.X.[De-Xiang], Shi, W.X.[Wen-Xuan],
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Springer DOI 1901
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Online Deconvolution for Industrial Hyperspectral Imaging Systems,
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Robust Energy Calibration Technique for Photon Counting Spectral Detectors,
MedImg(38), No. 4, April 2019, pp. 968-978.
IEEE DOI 1904
Calibration, Detectors, Photonics, Energy resolution, Absorption, Distortion, II-VI semiconductor materials, Energy calibration, Medipix BibRef

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High-Frequency Electromagnetic Induction (HFEMI) Sensor Results from IED Constituent Parts,
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Event-Driven Sensing for Efficient Perception: Vision and Audition Algorithms,
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IEEE DOI 1911
Retina, Voltage control, Biosensors, Sensor systems, Signal processing algorithms, Chemical sensors, Heuristic algorithms BibRef

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Remote Sensor Design for Visual Recognition With Convolutional Neural Networks,
GeoRS(57), No. 11, November 2019, pp. 9090-9108.
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Measurement, Visualization, Image recognition, Image quality, Remote sensing, Signal to noise ratio, Mathematical model, transfer learning BibRef

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Sampling approach for singular system computation of a radiation operator,
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Evanescent waves, Imaging systems, Interpolation, Inverse problems, Sensors, Signal processing BibRef

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[Special Reports]. Cameras, Video coding, Streaming media, IEC Standards, Image coding, ISO Standards BibRef

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[Special Reports]. Optical imaging, Optical sensors, Ultrasonic imaging, Field programmable gate arrays, Image processing BibRef

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Cameras, Spatial resolution, Wheels, Image color analysis, Sensor arrays, Videos, Multi-spectral imaging, image acquisition BibRef

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Improving Paralysis Compensation in Photon Counting Detectors,
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When a detector is paralyzed it is no longer sensitive to additional flux. Detectors, Photonics, Monte Carlo methods, Computed tomography, Micrometers, II-VI spectral CT BibRef

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Video Camera Latency Analysis and Measurement,
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IEEE DOI 2101
Cameras, Monitoring, Streaming media, Bars, Biomedical monitoring, Real-time systems, Meters, Digital cameras, video sharing BibRef

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Multi-scale Classification for Electrosensing,
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IEEE DOI 2107
Cameras, Encoding, Voltage control, Vision sensors, Spatiotemporal phenomena, Retina, Spike data compression, bio-inspired camera BibRef

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ICCV19(10182-10191)
IEEE DOI 2004
geophysical image processing, image reconstruction, image representation, matrix algebra, minimisation, tensors, 1D vector BibRef

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Emergent Visual Sensors for Autonomous Vehicles,
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IEEE DOI 2305
Cameras, Sensors, Autonomous vehicles, Radar imaging, Laser radar, Reflection, Visualization, Image sensor, gated imaging sensor BibRef

Schneider, D.[David],
Roll Your Own All-Sky Camera > Use Raspberry Pi Hardware to Capture Mesmerizing Time-Lapse Images of the Heavens,
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IEEE DOI 2307
Cameras, Hardware BibRef

Gobron, R.[Robert],
Nanostructures Transform Tiny Cameras: Thin Semiconductor Metalenses are Finally Moving into Consumers' Hands,
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Computers, Program processors, Transforms, Cameras, Mobile handsets, Sensors, Nanostructures BibRef

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IEEE DOI 2401
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Dual-Interference Channels Static Fourier Transform Imaging Spectrometer Based on Stepped Micro-Mirror: Data Processing and Experiment Research,
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Qashoa, R.[Randa], Suthakar, V.[Vithurshan], Chianelli, G.[Gabriel], Kunalakantha, P.[Perushan], Lee, R.S.K.[Regina S. K.],
Technology Demonstration of Space Situational Awareness (SSA) Mission on Stratospheric Balloon Platform,
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Wu, Y.C.[Yuan-Chao], Li, Y.[Yinan], Song, G.N.[Guang-Nan], Dou, H.F.[Hao-Feng], Wen, D.D.[Dan-Dan], Li, P.F.[Peng-Fei], Yang, X.J.[Xiao-Jiao], Lv, R.C.[Rong-Chuan], Li, H.[Hao],
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Jiang, K.[Kaili], Wang, D.C.[De-Chang], Tian, K.L.[Kai-Lun], Zhao, Y.X.[Yu-Xin], Feng, H.[Hancong], Tang, B.[Bin],
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Lv, T.[Tao], Ye, H.[Hao], Yuan, Q.[Quan], Shi, Z.[Zhan], Wang, Y.[Yibo], Wang, S.M.[Shu-Ming], Cao, X.[Xun],
Aperture Diffraction for Compact Snapshot Spectral Imaging,
ICCV23(10540-10550)
IEEE DOI Code:
WWW Link. 2401
imaging lens with an ultra-thin orthogonal aperture mask and a mosaic filter sensor BibRef

Yang, A.[Anqi], Kang, E.[Eunhee], Lee, H.E.[Hyong-Euk], Sankaranarayanan, A.C.[Aswin C.],
Designing Phase Masks for Under-Display Cameras,
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Multi-View 3D Compton Image Reconstruction With a Generalized List-Mode MLEM Algorithm,
ICIP23(2655-2659)
IEEE DOI 2312
Gamma ray camera. BibRef

Kwasniewska, A.[Alicja], MacAllister, A.[Anastacia], Nicolas, R.[Rey], Garza, J.[Javier],
Multi-sensor Ensemble-guided Attention Network for Aerial Vehicle Perception Beyond Visible Spectrum,
PBVS23(345-353)
IEEE DOI 2309
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Yang, Z.[Ze], Chen, Y.[Yun], Wang, J.K.[Jing-Kang], Manivasagam, S.[Sivabalan], Ma, W.C.[Wei-Chiu], Yang, A.J.[Anqi Joyce], Urtasun, R.[Raquel],
UniSim: A Neural Closed-Loop Sensor Simulator,
CVPR23(1389-1399)
IEEE DOI 2309
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Zhou, Y.[Yang], Song, Y.[Yuda], Du, X.[Xin],
Modular Degradation Simulation and Restoration for Under-display Camera,
ACCV22(III:3-20).
Springer DOI 2307

WWW Link. Camera under display in phone. BibRef

Zheng, Y.C.[Yu-Cheng], Hua, Y.[Yi], Sankaranarayanan, A.C.[Aswin C.], Asif, M.S.[M. Salman],
A Simple Framework for 3D Lensless Imaging with Programmable Masks,
ICCV21(2583-2592)
IEEE DOI 2203
Linear systems, Inverse problems, Frequency-domain analysis, Prototypes, Cameras, Reflection, Computational photography, BibRef

Mohamed, S.A.S.[Sherif A.S.], Yasin, J.N.[Jawad N.], Haghbayan, M.H.[Mohammad-Hashem], Miele, A.[Antonio], Heikkonen, J.[Jukka], Tenhunen, H.[Hannu], Plosila, J.[Juha],
Dynamic Resource-Aware Corner Detection for Bio-Inspired Vision Sensors,
ICPR21(10465-10472)
IEEE DOI 2105
Optical filters, Filtering, Vision sensors, Throughput, Cameras, Approximation algorithms, Real-time systems BibRef

Drouin, M.A.[Marc-Antoine], Fournier, J.[Jonathan], Boisvert, J.[Jonathan], Borgeat, L.[Louis],
Modeling and Simulation Framework for Airborne Camera Systems,
WAAMI20(60-74).
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Widloski, E.[Evan], Kamaci, U.[Ulas], Kamalabadi, F.[Farzad],
Optimal Measurement Configuration In Computational Diffractive Imaging,
ICIP20(281-285)
IEEE DOI 2011
Image reconstruction, Wavelength measurement, Imaging, Lenses, Complexity theory, Measurement uncertainty, computational imaging BibRef

Gnanasambandam, A.[Abhiram], Chan, S.H.[Stanley H.],
Image Classification in the Dark Using Quanta Image Sensors,
ECCV20(VIII:484-501).
Springer DOI 2011
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Miao, X.[Xin], Yuan, X.[Xin], Pu, Y.C.[Yun-Chen], Athitsos, V.[Vassilis],
lambda-Net: Reconstruct Hyperspectral Images from a Snapshot Measurement,
ICCV19(4058-4068)
IEEE DOI 2004
data compression, hyperspectral imaging, image coding, image reconstruction, hyperspectral images, snapshot measurement, BibRef

Chen, J.[Jieen], Hirsch, M.[Michael], Eberhardt, B.[Bernhard], Lensch, H.P.A.[Hendrik P. A.],
A Computational Camera with Programmable Optics for Snapshot High-Resolution Multispectral Imaging,
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Coded Two-Bucket Cameras for Computer Vision,
ECCV18(III: 55-73).
Springer DOI 1810
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On the Design of High Resolution Imaging Systems,
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Takatani, T., Aoto, T., Mukaigawa, Y.,
One-Shot Hyperspectral Imaging Using Faced Reflectors,
CVPR17(2692-2700)
IEEE DOI 1711
Cameras, Hyperspectral imaging, Image color analysis, Light sources, Mirrors, Reflection BibRef

Tsai, C.Y., Kutulakos, K.N., Narasimhan, S.G., Sankaranarayanan, A.C.,
The Geometry of First-Returning Photons for Non-Line-of-Sight Imaging,
CVPR17(2336-2344)
IEEE DOI 1711
Cameras, Nonlinear optics, Photonics, Sensors, Shape, Transient analysis BibRef

Jayasuriya, S.[Suren], Gallo, O.[Orazio], Gu, J.W.[Jin-Wei], Aila, T.[Timo], Kautz, J.[Jan],
Reconstructing Intensity Images from Binary Spatial Gradient Cameras,
ECVW17(337-343)
IEEE DOI 1709
Bandwidth, Cameras, Face, Image reconstruction, Prototypes. BibRef

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Robust Features for Snapshot Hyperspectral Terrain-Classification,
CAIP17(I: 16-27).
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Sensor analysis. BibRef

Zhou, Z.J.[Zhi-Juan], Hu, Y.T.[Yu-Ting], Zhai, G.F.[Guo-Fang],
Design of multi-channel CCD signal processing system based on FPGA,
ICIVC17(828-831)
IEEE DOI 1708
Arrays, Charge coupled devices, Field programmable gate arrays, Process control, Software, Software reliability, CCD signal processing, FPGA, electronic system, remote, sensing, camera BibRef

Kanai, R.[Ryo], Kowada, Y.[Yoshiharu], Wang, P.[Peng], Toiya, M.[Masahiro], Toque, J.A.[Jay Arre], Ide-Ektessabi, A.[Ari],
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Springer DOI 1704
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ICVNZ16(1-5)
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Adaptive optics BibRef

Feldman, R., Weiss, Y., Eldar, Y.C.[Yonina C.],
Power-Efficient Cameras Using Natural Image Statistics,
CCD16(945-953)
IEEE DOI 1612
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Oh, S.W., Brown, M.S., Pollefeys, M., Kim, S.J.,
Do It Yourself Hyperspectral Imaging with Everyday Digital Cameras,
CVPR16(2461-2469)
IEEE DOI 1612
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Elgendy, O.A.[Omar A.], Chan, S.H.[Stanley H.],
Image reconstruction and threshold design for Quanta Image Sensors,
ICIP16(978-982)
IEEE DOI 1610
Algorithm design and analysis. Quanta sensors. BibRef

Tölg, T., Kemper, G., Kalinski, D.,
Medium Format Camera Evaluation Based On The Latest Phase One Technology,
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Towards Self-Powered Cameras,
ICCP15(1-10)
IEEE DOI 1512
brightness BibRef

Miller, A.L.[Alexander Luke], Machrafi, R.[Rachid],
Development of a Low Cost Gamma-Ray Imaging System Using Handheld Scintillation Detectors for Visual Surveying of Radiation Fields with Robots,
CRV15(1-7)
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Uniformly minimum variance unbiased estimation for asynchronous event-based cameras,
ICIP14(4107-4111)
IEEE DOI 1502
Cameras BibRef

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ICIP14(5122-5126)
IEEE DOI 1502
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ICIP13(2373-2377)
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Image reconstruction BibRef

Khan, R.[Rahat], van de Weijer, J.[Joost], Karatzas, D.[Dimosthenis], Muselet, D.[Damien],
Towards multispectral data acquisition with hand-held devices,
ICIP13(2053-2057)
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Multispectral, color measurements, mobile devices BibRef

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Hyperspectral Remote Sensing with the UAS 'Stuttgarter Adler': Challenges, Experiences and First Results,
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Chapter on Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar continues in
Infrared Sensors, Thermal Sensors .


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