4.9 Sensors for Machine Vision, Image Sensors

Chapter Contents (Back)
Cameras. Sensors.

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

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

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

WWW Version. Vendor, Sensors. Digital camera products. Camera backs, accessories, software.

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

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

Axis Communications,
1984 Vendor, Sensors.
WWW Version. 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 Version. Various basic image processing systems, cameras, etc.

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,
WWW Version. Vendor, Imaging Technology. Single chip implementations. See also FotoNation.

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

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

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

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

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

Pelican Imaging Corporation,
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,
WWW Version. 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.
WWW Version. 0309

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.
WWW Version. 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.
WWW Version. 0309

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.
WWW Version. 0309

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.
WWW Version. 0501

Hatamian, M., Budrikis, Z.L., Kubik, P.S., Netravali, A.N.,
Accurate lightpen,
CVGIP(39), No. 2, August 1987, pp. 246-257.
WWW Version. 0501

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

Dyakonov, M.I., Shur, M.S.,
Plasma wave electronics: Novel terahertz devices using two dimensional electron fluid,
ElecDev(43), No. 10, October 1996, pp. 1640-1645.
IEEE via DOI The physics behing terahertz cameras. BibRef 9610

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

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

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

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

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

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 via 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 via DOI 0409

Aggarwal, M.[Manoj], Hua, H.[Hong], Ahuja, N.[Narendra],
On Cosine-Fourth and Vignetting Effects in Real Lenses,
ICCV01(I: 472-479).
IEEE via DOI 0106

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

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 Version.
HTML Version. 0211

Carlsohn, M.F.[Matthias F.],
Spectral imaging for real-time imaging applications,
RealTimeImg(9), No. 4, August 2003, pp. 229-230.
WWW Version. 0311

Carlsohn, M.F.[Matthias F.],
Special issue on spectral imaging: Real-time processing of hyperspectral data,
RealTimeIP(1), No. 2, December 2006, pp. 99-100.
Springer via DOI 0001

Carlsohn, M.F.[Matthias F.],
Spectral image processing in real-time,
RealTimeIP(1), No. 1, October 2006, pp. 25-32.
Springer via DOI 0001

Carlsohn, M.F.[Matthias F.],
Spectral imaging in real-time: Imaging principles and applications,
RealTimeImg(11), No. 2, April 2005, pp. 71-73.
WWW Version. 0506

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 via DOI 0401

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

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

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

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
A General Imaging Model and a Method for Finding its Parameters,
ICCV01(II: 108-115).
IEEE via DOI 0106

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.
WWW Version. 0508

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

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 Version. 0601

Braithwaite, I.[Ian], Blanke, M.[Mogens], Zhang, G.Q.A.[Guo-Qi-Ang], 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 Version. 0603

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 via DOI 0604

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

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

Meriaudeau, F.,
Real time multispectral high temperature measurement: Application to control in the industry,
IVC(25), No. 7, 1 July 2007, pp. 1124-1133.
WWW Version. 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 via 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 via DOI 0608

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

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 Version. 0801

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

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 via DOI 0902

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 via DOI 0312

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 via 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 via 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 via 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 via 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 via 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 via DOI 1001
Evaluation of sensors. BibRef

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

Paulson, L.D.[Linda Dailey],
Scientists Develop Camera Made of Fabric,
Computer(43), No. 3, March 2010, pp. 20-22.
IEEE via 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 via DOI 1003

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

Wang, X.[Xinke], Cui, Y.[Ye], Sun, W.F.[Wen-Feng], Ye, J.S.[Jia-Sheng], Zhang, Y.[Yan],
Terahertz polarization real-time imaging based on balanced electro-optic detection,
JOSA-A(27), No. 11, November 2010, pp. 2387-2393.
WWW Version. 1011

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 Version. 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

Hammoud, R., Fan, G., McMillan, R.W., Ikeuchi, K., (Eds.)
Machine Vision Beyond Visible Spectrum,
Springer2011, ISBN: 978-3-642-11567-7
WWW Version. Buy this book: Machine Vision Beyond Visible Spectrum (Augmented Vision and Reality) 1106
Infrared, human tracking, sensor fusion, moving object detection. BibRef

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 Version. 1108
Looking Around the Corner Using Transient Imaging,
IEEE via DOI 0909
Marr Prize, HM.
WWW Version. Exploit finite speed of light. BibRef

Schneider, D.,
Camera hacking,
Spectrum(47), No. 12, December 2010, pp. 18-19.
IEEE via 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 via DOI 1110
Earlier: A2, A3, A1, A5, Only:
A Prism-based System for Multispectral Video Acquisition,
PDF Link. 0909
Prism, occlusion mask and monochrome camera to capture multispectral images. BibRef

Schneider, D.,
IR eye,
Spectrum(49), No. 2, February 2012, pp. 20-21.
IEEE via DOI 1202
Hands On Section. A cheap infrared scanner can replace an expensive thermal-imaging camera. 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

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

Courtland, R.[Rachel],
A Cheap Terahertz Camera,
Spectrum NewsApril 2012.
WWW Version. CMOS detectors could drive down the cost of terahertz imaging, though difficulties remain. See also 1kpixel CMOS camera chip for 25fps real-time terahertz imaging applications, A. See also Plasma wave electronics: Novel terahertz devices using two dimensional electron fluid. BibRef 1204

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

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 via DOI 1206

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 via DOI 1210
Earlier: A2, A3, A1, A6, Only:
Nonuniform Lattice Regression for Modeling the Camera Imaging Pipeline,
ECCV12(I: 556-568).
Springer via DOI 1210

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 via DOI 1211

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 Version. 1211

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

Rüther-Kindel, W.[Wolfgang], Brauchle, J.[Jörg],
The SALSA Project: High-End Aerial 3D Camera,
HTML Version. 1311

Stebner, K., Wieden, A.,
Accuracy Analysis for Automatic Orientation of a Tumbling Oblique Viewing Sensor System,
DOI Link 1404

Eckardt, A.[Andreas],
Department of Optical Information Systems (OS): Sensors and Instruments for Space- and Airborne Applications,
PFG(2012), No. 1, 2012, pp. 5-17.
WWW Version. 1211

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 Version. 1211

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 Version. 1211

Sarkar, M.[Mukul], Theuwissen, A.[Albert],
A Biologically Inspired CMOS Image Sensor,
Springer2013. ISBN: 978-3-642-34900-3

WWW Version. 1212
Polarization detection with CMOS sensor. BibRef

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

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

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

Schlerf, M., Rock, G., Lagueux, P., Ronellenfitsch, F., Gerhards, M., Hoffmann, L., Udelhoven, T.,
A Hyperspectral Thermal Infrared Imaging Instrument for Natural Resources Applications,
RS(4), No. 12, December 2012, pp. 3995-4009.
DOI Link 1211

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

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 Version. 1305
Thermal imageing. BibRef

Ochiai, S., Kikuchi, K., Nishibori, T., Manabe, T., Ozeki, H., Mizobuchi, S., Irimajiri, Y.,
Receiver Performance of the Superconducting Submillimeter-Wave Limb-Emission Sounder (SMILES) on the International Space Station,
GeoRS(51), No. 7, 2013, pp. 3791-3802.
IEEE via DOI 1307
Temperature measurement BibRef

Gambacorta, A., Barnet, C.D.,
Methodology and Information Content of the NOAA NESDIS Operational Channel Selection for the Cross-Track Infrared Sounder (CrIS),
GeoRS(51), No. 6, 2013, pp. 3207-3216.
IEEE via DOI 1307
data assimilation; spectral channel selection; 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

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

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Tsubaki, Y., Kubota, A., Aizawa, K.,
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Chapter on Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar continues in
Light Field Cameras and Analysis .

Last update:Feb 23, 2015 at 12:52:33