10.1.1 General Stereo Discussion: Human and Computer

Wheatstone, C.,
On Some Remarkable, and Hitherto Unobserved, Phenomena of Binocular Vision,
Royal(128), 1838, pp. 371-394. BibRef 3800

Julesz, B.,
Binocular Depth Perception of Computer-Generated Patterns,
Bell System Tech.(39), No. 5, September 1960, pp. 1125-1161. The Julesz random dot stereogram reference. BibRef 6009

Shipley, T.,
The Stereoscopic Pattern Signal: Gestalt Processes in the Binocular Field,
PR(5), No. 2, June 1973, pp. 109-120.
Elsevier DOI 0309
create texture stereograms. BibRef

Harkness, L.,
Chameleons use accommodation cues to judge distance,
Nature(267), 1977, 346-349.
DOI Link BibRef 7700

Poggio, T.A.[Tomaso A.],
Vision by Man and Machine,
SciAmer(250), No. 4, April 1984, pp. 106-116. A nicely written discussion of the MIT stereo work of Marr, Poggio and Grimson.
See also Early Vision: From Computational Structure to Algorithms and Parallel Hardware. BibRef 8404

Marr, D., and Poggio, T.A.,
A Computational Theory of Human Stereo Vision,
RoyalP(B-204), 1979, pp. 301-328. BibRef 7900
Earlier:
A Theory of Human Stereo Vision,
MIT AI Memo451, November 1977. Stereo, Theory. Stereo, Marr. The standard quoted reference to the early work. BibRef

Marr, D., and Poggio, T.A.,
Cooperative Computation of Stereo Disparity,
Science(194), No. 4262, pp. 283-287, October 15, 1976. BibRef 0010
And: DARPA77(15-20). BibRef
And: MIT AI Memo-364, June 1976.
WWW Link. Stereo, Marr. Basically all the stereo work. BibRef

Marr, D., Palm, G., and Poggio, T.A.,
Analysis of a Cooperative Stereo Algorithm,
BioCyber(28), 1978, pp. 223-239. BibRef 7800
Earlier: MIT AI Memo-446, October 1977. BibRef

Grewe, L.L., Kak, A.C.,
Stereo Vision,
HPRIP-CV94(239-317). BibRef 9400

Clark, J.J.[James J.], Lawrence, P.D.[Peter D.],
A Theoretical Basis for Diffrequency Stereo,
CVGIP(35), No. 1, July 1986, pp. 1-19.
Elsevier DOI disparities based on zero crossings BibRef 8607

Matthies, L.H.,
Stereo Vision for Planetary Rovers: Stochastic Modeling to Near Real-Time Implementation,
IJCV(8), No. 1, July 1992, pp. 71-91.
Springer DOI BibRef 9207
Earlier: JPLD-8131, 1991. BibRef
And: SPIE(1570), 1991, pp. 187-200. Stereo, System. Stereo, Analysis. Analysis of what is needed and what can be done for real time autonomous operation.
See also Stereo and IMU assisted visual odometry on an OMAP3530 for small robots. BibRef

Matthies, L.H., Chen, B., and Petrescu, J.,
Stereo Vision, Residual Image Processing and Mars Rover Localization,
ICIP97(III: 248-251).
IEEE DOI BibRef 9700

Fleet, D.J.[David J.], Jepson, A.D.[Allan D.], Jenkin, M.R.M.[Michael R.M.],
Phase-Based Disparity Measurement,
CVGIP(53), No. 2, March 1991, pp. 198-210.
Elsevier DOI BibRef 9103
Earlier: RBCV-TR-89-29, Toronto, November 1989. Stability of band-pass phase information is uses and analysis of places where it is unstable. Image disparity for stereo. Based on the same techniques as used for motion. See also the next paper. BibRef

Lippert, J., Fleet, D.J.[David J.], Wagner, H.,
Disparity Tuning as Simulated by a Neural Net,
BioCyber(83), No. 1, 2000, pp. 61-72.
HTML Version. 0001
BibRef

Jenkin, M.R.M.[Micahel R.M.], Jepson, A.D.[Allan D.], Tsotsos, J.K.[John K.],
Techniques for Disparity Measurement,
CVGIP(53), No. 1, January 1991, pp. 14-30.
Elsevier DOI BibRef 9101
Earlier: RBCV-TR-87-16, September 1987, Toronto. This argues that other disparity techniques are unstable and proposes a method that uses phase differences of band-pass versions of the images. Some on human visual system.
See also Recovering Local Surface-Structure Through Local Phase Difference Measurements. BibRef

Jenkin, M.R.M.[Micahel R.M.],
Visual Stereoscopic Computation,
RBCV-TR-88-22, April 1988, Toronto. BibRef 8804 Ph.D.Thesis(CS). BibRef

vanden Enden, A., Spekreijse, H.,
Binocular Depth Reversals Despite Familiarity Cues,
Science(244), No. 4907, May 26 1989, pp. 959-961. BibRef 8905

Nelson, J.I.,
Globality and Stereoscopic Fusion in Binocular Vision,
Theoretical Biology(49), 1975, pp. 1-88. BibRef 7500

Mayhew, J.E.W., and Frisby, J.P.,
3D Model Recognition from Stereoscopic Cues,
Cambridge, MA: MIT Press1991. Indexed as: BibRef 9100 MRSC91 BibRef Book
WWW Link. A collection of papers from an Alvey-funded conference on stereo analysis. BibRef

Mayhew, J.E.W.[John E.W.], Frisby, J.P.[John P.],
Psychophysical and Computational Studies towards a Theory of Human Stereopsis,
AI(17), No. 1-3, August 1981, pp. 349-385.
Elsevier DOI BibRef 8108

Mayhew, J.E.W.[John E.W.], Longuet-Higgins, H.C.,
A Computational Model of Binocular Depth Perception,
IU84(127-134). BibRef 8400

Wildes, R.P.,
Direct Recovery of Three-Dimensional Scene Geometry from Binocular Stereo Disparity,
PAMI(13), No. 8, August 1991, pp. 761-774.
IEEE DOI BibRef 9108
Earlier:
An Analysis of Stereo Disparity for the Recovery of Three-Dimensional Scene Geometry,
3DWS89(2-8). BibRef
And:
On Interpreting Stereo Disparity,
Ph.D.April 1989, BibRef MIT AI-TR-1112, February 1989.
WWW Link. I must have missed something or it is a restatement of basic stereo depth recovery. BibRef

Grimson, W.E.L.,
A Computer Implementation of a Theory of Human Stereo Vision,
Royal(B-292), 1981, pp. 217-253. BibRef 8100
Earlier: MIT AI Memo565, Janaury 1980. BibRef
And: with: Marr, D., DARPA79(41-47). Short version of Grimson's later thesis/book.
See also From Images to Surfaces: A Computational Study of the Human Early Visual System. BibRef

Trivedi, H.P.[Harit P.],
A Computational Theory of Stereo Vision,
CVPR85(277-282). From GEC Research Laboratories. Optimization process for stereo with explicit imaging geometry. BibRef 8500

Smith, G.[Grahame],
Stereo Integral Equation,
AAAI-86(689-694). BibRef 8600
And: RCV87(87-92). BibRef
Earlier:
Stereo Reconstruction of Scene Depth,
CVPR85(271-276). Integral of the image data along a scan line is used rather than matching and to get the the surface. Single scan line results only. BibRef

Strat, T.M.[Thomas M.], and Fischler, M.A.,
One-Eyed Stereo: A General Approach to Modeling 3-D Scene Geometry,
PAMI(8), No. 6, November 1986, pp. 730-741. BibRef 8611
And: RCV87(101-112). BibRef
Earlier: IJCAI85(937-943). BibRef
And: DARPA85(363-372). BibRef
And:
One-Eyed Stereo: A Unified Strategy to Recover Shape from a Single Image,
SRI-TNNo. 367, November 1985. A discussion of warping the scene to fit the projected image. BibRef

Ludwig, K.O.[Kai-Oliver], Neumann, H.[Heiko], Neumann, B.[Bernd],
Local Stereoscopic Depth Estimation,
IVC(12), No. 1, January-February 1994, pp. 16-35.
Elsevier DOI BibRef 9401
Earlier:
Local Stereoscopic Depth Estimation Using Ocular Stripe Maps,
ECCV92(373-377).
Springer DOI BibRef

Nagel, H.H., and Neumann, B.,
On 3-D Reconstruction from Two Perspective Views,
IJCAI81(661-663). BibRef 8100

King, D., Walsh, P., Ciuffreda, F.,
Airborne Digital Frame Camera Imaging For Elevation Determination,
PhEngRS(60), No. 11, November 1994, pp. 1321-1326. BibRef 9411

Anderson, B., Nayakama, K.,
Toward a General Theory of Stereopsis: Binocular Matching, Occluding Contours and Fusion,
PsychR(101), No. 3, 1994, pp. 414-445. BibRef 9400

Wann, J.P., Rushton, S., Mon-Williams, M.,
Natural problems for stereoscopic depth perception in virtual environments,
Vision Research(35), No. 19, 2995, pp. 2731-2736. BibRef 0000

Cardenas-Garcia, J.F., Yao, H.G., Zheng, S.,
3D Reconstruction of Objects Using Stereo Imaging,
OptLas(22), No. 3, 1995, pp. 193-213. BibRef 9500

Bokil, A., Khotanzad, A.,
Constraint Learning Feedback Dynamic-Model for Stereopsis,
PAMI(17), No. 11, November 1995, pp. 1095-1100.
IEEE DOI Generalized Marr-Poggio (
See also Cooperative Computation of Stereo Disparity. ) algorithm implementation. BibRef 9511

Mallot, H.A., Gillner, S., Arndt, P.A.,
Is Correspondence Search in Human Stereo Vision a Coarse-to-Fine Process?,
BioCyber(74), No. 2, February 1996, pp. 95-106. BibRef 9602

Hendrix, C., Barfield, W.,
Relationship Between Monocular and Binocular Depth Cues for Judgments of Spatial Information and Spatial Instrument Design,
Displays(16), No. 3, July 1995, pp. 103-113. BibRef 9507

Bruckstein, A.M., Onn, R., and Richardson, T.J.,
Improving the Vision of Magic Eyes: A Guide to Better Autostereograms,
AIU96(158-176). How to do magic eye stereograms better. BibRef 9600

Hsu, J., Pizlo, Z., Chelberg, D.M., Babbs, C.F., Delp, E.J.,
Issues in the Design of Studies to Test the Effectiveness of Stereo Imaging,
SMC-A(26), No. 6, November 1996, pp. 810-819.
IEEE Top Reference. 9611
BibRef

Tu, X.W.[Xiao-Wei], Dubuisson, B.[Bernard],
3-D Information Derivation from a Pair of Binocular Images,
PR(23), No. 3-4, 1990, pp. 223-235.
Elsevier DOI BibRef 9000

Langley, K., Atherton, T.J., Wilson, R.G., Larcombe, M.H.E.,
Vertical and Horizontal Disparities from Phase,
IVC(9), No. 5, October 1991, pp. 296-302.
Elsevier DOI BibRef 9110
Earlier: ECCV90(313-325).
Springer DOI 9004
BibRef

Jin, J.S., Yeap, W.K., and Lox, B.F.,
A Stereo Model Using LoG and Gabor Filters,
SV(10), 1996, pp. 3-13. BibRef 9600

Toutin, T.,
Qualitative Aspects of Chromo-Stereoscopy for Depth-Perception,
PhEngRS(63), No. 2, February 1997, pp. 193-203. 9703
BibRef

Omoruto, F.E.E., Raina, J.P.,
Concise Vector Equations for Stereopsis,
PRL(9), 1989, pp. 367-372. BibRef 8900

Fermüller, C., Cheong, L.F.[Loong Fah], Aloimonos, Y.,
Visual Space Distortion,
BioCyber(77), No. 5, November 1997, pp. 323-337. 9712

See also 3D Motion and Shape Representations in Visual Servo Control. BibRef

Baratoff, G., Aloimonos, Y.,
Changes in Surface Convexity and Topology Caused by Distortions of Stereoscopic Visual Space,
ECCV98(II: 226).
Springer DOI BibRef 9800

Baratoff, G.[Gregory],
Distortion of Steroscopic Visual Space,
UMD--TR3805, May 1997. Stereo. Shape Representation.
WWW Link. BibRef 9705

Hartley, R.I.[Richard I.], and Sturm, P.F.[Peter F.],
Triangulation,
CVIU(68), No. 2, November 1997, pp. 146-157.
DOI Link 9712
BibRef
Earlier: ARPA94(II:957-966). BibRef
And: CAIP95(190-197).
Springer DOI 9509
BibRef

Faugeras, O.D.[Olivier D.], Keriven, R.,
Variational-Principles, Surface Evolution, PDEs, Level Set Methods, and the Stereo Problem,
IP(7), No. 3, March 1998, pp. 336-344.
IEEE DOI 9803
BibRef
And: INRIARR-3021, 1998.
HTML Version. BibRef
And:
Complete dense stereovision using level set methods,
ECCV98(I: 379).
Springer DOI BibRef
Earlier:
Level Set Methods and the Stereo Problem,
ScaleSpace97(xx). 9702
Include local object planarity in stereo match. This an be used to eliminate region distortions. BibRef

Faugeras, O.D.[Olivier D.], Luong, Q.T.[Quang-Tuan],
The Geometry of Multiple Images: The Laws That Govern the Formation of Multiple Images of a Scene and Some of Their Applications,
MIT Press2004, ISBN: 0262562049 Buy this book: The Geometry of Multiple Images: The Laws That Govern the Formation of Multiple Images of a Scene and Some of Their Applications BibRef 0400

Pons, J.P.[Jean-Philippe], Keriven, R.[Renaud], Faugeras, O.D.[Olivier D.], Hermosillo, G.,
Variational stereovision and 3d scene flow estimation with statistical similarity measures,
ICCV03(597-602).
IEEE DOI 0311
BibRef

Pons, J.P.[Jean-Philippe], Keriven, R.[Renaud], Faugeras, O.D.[Olivier D.],
Multi-View Stereo Reconstruction and Scene Flow Estimation with a Global Image-Based Matching Score,
IJCV(72), No. 2, April 2007, pp. 179-193.
Springer DOI 0702
BibRef

Yamanoue, H., Okui, M., Yuyama, I.,
A Study on the Relationship Between Shooting Conditions and Cardboard Effect of Stereoscopic Images,
CirSysVideo(10), No. 3, April 2000, pp. 411-416.
IEEE Top Reference. 0004
BibRef

Yamanoue, H., Okui, M., Okano, F.,
Geometrical Analysis of Puppet-Theater and Cardboard Effects in Stereoscopic HDTV Images,
CirSysVideo(16), No. 6, June 2006, pp. 744-752.
IEEE DOI 0606
BibRef

Lau, M.S.K.[Mark S.K.], Kwong, C.P.,
Analysis of Echoes in Single-Image Random-Dot-Stereograms,
JMIV(16), No. 1, January 2002, pp. 69-79.
DOI Link 0202
BibRef

Seitz, S.M.[Steven M.], Kim, J.[Jiwon],
The Space of All Stereo Images,
IJCV(48), No. 1, June 2002, pp. 21-38.
DOI Link 0204
BibRef
Earlier: A1 only: ICCV01(I: 26-33).
IEEE DOI 0106
Award, Marr Prize. BibRef

Zhang, L.[Li], Seitz, S.M.[Steven M.],
Estimating Optimal Parameters for MRF Stereo from a Single Image Pair,
PAMI(29), No. 2, February 2007, pp. 331-342.
IEEE DOI 0701
BibRef
Earlier:
Parameter Estimation for MRF Stereo,
CVPR05(II: 288-295).
IEEE DOI 0507
Stereo is a MAP problem where disparity map and MRF parameters are estimated from stereo pair. BibRef

Langley, K., Fleet, D.J.[David J.], Hibbard, P.,
Stereopsis from Contrast Envelopes,
Vision Research(39), No. 14, 1999, pp. 2313-2324.
HTML Version. BibRef 9900

Fleet, D.J.[David J.], Wagner, H., and Heeger, D.J.,
Neural encoding of binocular disparity: Energy model, position shifts and phase shifts,
Vision Research(36), No. 12, 1996, pp. 1839-1857.
HTML Version. BibRef 9600

Stelmach, L.B.[Lew B.], Tam, W.J.[W. James],
Stereoscopic image coding: Effect of disparate image-quality in left- and right-eye views,
SP:IC(14), No. 1-2, November 1998, pp. 111-117.
Elsevier DOI BibRef 9811

Stelmach, L.B., Tam, W.J., Meegan, D., Vincent, A.,
Stereo Image Quality: Effect of Mixed Spatio-Temporal Resolution,
CirSysVideo(10), No. 2, March 2000, pp. 188.
IEEE Top Reference. 0003
BibRef

Stelmach, L.B., Tam, W.J., Meegan, D., Vincent, A., Corriveau, P.,
Human Perception of Mismatched Stereoscopic 3D Inputs,
ICIP00(Vol I: 5-8).
IEEE DOI 0008
BibRef

Bulthoff, I., Bulthoff, H., Sinha, P.,
Top-down influences on stereoscopic depth-perception,
Nature:Neuroscience(1), 1998, pp. 254-257.
DOI Link BibRef 9800

Luo, Q.M.[Qiu-Ming], Zhou, J.L.[Jing-Li], Yu, S.S.[Sheng-Sheng], Xiao, D.G.[De-Gui],
Stereo matching and occlusion detection with integrity and illusion sensitivity,
PRL(24), No. 9-10, June 2003, pp. 1143-1149.
Elsevier DOI 0304
BibRef

Shan, J.[Jie], Fu, C.S.[Chiung-Shiuan], Li, B.[Bin], Bethel, J.S.[James S.], Kretsch, J.[Jeffrey], Mikhail, E.M.[Edward M.],
Principals and Evaluation of Autostereoscopic Photogrammetric Measurement,
PhEngRS(72), No. 4, April 2006, pp. 365-372.
WWW Link. 0610
Photogrammetric measurement can be conducted with goggle-free autostereoscopic technology at a precision of 16 percent to 25 percent lower than the conventional stereo workstation. BibRef

Shioiri, S.[Satoshi], Nakajima, T.[Tomohiko], Kakehi, D.[Daisuke], and Yaguchi, H.[Hirohisa],
Differences in temporal frequency tuning between the two binocular mechanisms for seeing motion in depth Virtual Journal,
JOSA-A(25), No. 7, July 2008, pp. 1574-1585.
WWW Link. 0804
BibRef

Hansard, M.[Miles], Horaud, R.[Radu],
Cyclopean geometry of binocular vision,
JOSA-A(25), No. 9, September 2008, pp. 2357-2369.
WWW Link. 0804
BibRef
Earlier:
Patterns of Binocular Disparity for a Fixating Observer,
BVAI07(308-317).
Springer DOI 0710
BibRef

Hansard, M.[Miles], Horaud, R.[Radu],
Cyclorotation Models for Eyes and Cameras,
SMC-B(40), No. 1, February 2010, pp. 151-161.
IEEE DOI 0911
From Listing's law on human eye fixation point BibRef

Hansard, M.[Miles],
Binocular projection of a random scene,
BMVC12(90).
DOI Link 1301
BibRef

Kim, D., Sohn, K.,
Visual Fatigue Prediction for Stereoscopic Image,
CirSysVideo(21), No. 2, February 2011, pp. 231-236.
IEEE DOI 1103
BibRef

Kim, D., Choi, S., Sohn, K.,
Effect of Vergence-Accommodation Conflict and Parallax Difference on Binocular Fusion for Random Dot Stereogram,
CirSysVideo(22), No. 5, May 2012, pp. 811-816.
IEEE DOI 1202
BibRef

Kim, D., Choi, S., Sohn, K.,
Visual Comfort Enhancement for Stereoscopic Video Based on Binocular Fusion Characteristics,
CirSysVideo(23), No. 3, March 2013, pp. 482-487.
IEEE DOI 1303
BibRef

Kim, J.G.[Jae Gon], Cho, J.D.[Jun-Dong],
Optimizing a Virtual Re-Convergence System to Reduce Visual Fatigue in Stereoscopic Camera,
IEICE(E95-D), No. 5, May 2012, pp. 1238-1247.
WWW Link. 1202
BibRef

Cheong, L.F.[Loong-Fah], Gao, Z.[Zhi],
Quasi-Parallax for Nearly Parallel Frontal Eyes,
IJCV(101), No. 1, January 2013, pp. 45-63.
WWW Link. 1302
BibRef

Yankelevsky, Y.[Yael], Shvartz, I.[Ishai], Avraham, T.[Tamar], Bruckstein, A.M.[Alfred M.],
Depth perception in autostereograms: 1/f noise is best,
JOSA-A(33), No. 2, February 2016, pp. 149-159.
DOI Link 1602
Vision - binocular and stereopsis BibRef

Guan, S., Lai, Y., Chen, K., Chou, H., Chuang, Y.,
A Tool for Stereoscopic Parameter Setting Based on Geometric Perceived Depth Percentage,
CirSysVideo(26), No. 2, February 2016, pp. 290-303.
IEEE DOI 1602
Cameras BibRef

Gao, Z.[Zhi], Wang, P.F.[Peng-Fei], Zhai, R.F.[Rui-Fang], Tang, Y.[Yazhe],
Frontally placed eyes versus laterally placed eyes: Computational comparison of their functions for ego-motion estimation,
JOSA-A(33), No. 4, April 2016, pp. 501-507.
DOI Link 1604
Vision modeling. BibRef

da Silva Vieira, G.[Gabriel], Soares, F.A.A.M.N.[Fabrizzio Alphonsus A.M.N.], Laureano, G.T.[Gustavo Teodoro], de Sousa, N.M.[Naiane Maria], Alves Oliveira, J.G.[Jehymison Gil], Parreira, R.T.[Rafael Tomaz], Ferreira, J.C.[Julio Cesar], da Costa, R.M.[Ronaldo Martins],
Stereo Vision Methods: From Development to the Evaluation of Disparity Maps,
WVC17(132-137)
IEEE DOI 1804
image reconstruction, software architecture, stereo image processing, MLMH method, SSD cost function, stereo vision BibRef

Laga, H.[Hamid], Jospin, L.V.[Laurent Valentin], Boussaid, F.[Farid], Bennamoun, M.[Mohammed],
A Survey on Deep Learning Techniques for Stereo-Based Depth Estimation,
PAMI(44), No. 4, April 2022, pp. 1738-1764.
IEEE DOI 2203
Survey, Stereo. Estimation, Videos, Deep learning, Australia, Training, Pipelines, CNN, deep learning, 3D reconstruction, stereo matching, feature matching BibRef

Hornsey, R.L., Hibbard, P.B., Scarfe, P.,
Ordinal judgments of depth in monocularly- and stereoscopically-viewed photographs of complex natural scenes,
IC3D15(1-5)
IEEE DOI 1603
natural scenes BibRef

Trager, M.[Matthew], Hebert, M.[Martial], Ponce, J.[Jean],
The Joint Image Handbook,
ICCV15(909-917)
IEEE DOI 1602
Algebra. Multiple point correspondences over 2D projections. BibRef

Kong, Q.Q.[Qing-Qun], Zeng, Y.[Yi], Dong, Q.L.[Qiu-Lei],
Biologically inspired deep stereo model,
ICIP15(3700-3704)
IEEE DOI 1512
deep stereo model BibRef

Grove, P.M., Harrold, A.,
The range of fusible horizontal disparities around the empirical horopters,
IC3D13(1-7)
IEEE DOI 1503
geometry BibRef

Ip, B., Dow, J., Minini, L., Parker, A., Bridge, H.,
Human cortical responses to variations of the interocular correlation of binocular signals,
IC3D12(1-7)
IEEE DOI 1503
bioelectric potentials BibRef

Grimaldi, P.,
Stereometric Modelling,
ISPRS12(XXXIX-B5:99-102).
DOI Link 1209
Applied to cultural heritage sites. BibRef

Bensalma, R., Larabi, M.,
Using the HVS binocular properties for the construction of a comprehensive stereoscopic matching model,
EUVIP10(159-164).
IEEE DOI 1110
BibRef

Blake, A.[Andrew],
Stereo vision and segmentation,
AVSBS07(4-4).
IEEE DOI 0709
BibRef

Ha, C.W.[Chang-Woo], Lee, W.J.[Wan-Jae], Jin, S.J.[Soon-Jong], Jeong, J.C.[Je-Chang],
Human Perception of Asymmetrical 3-D Inputs,
3DTV07(1-4).
IEEE DOI 0705
BibRef

Bruce, N.D.B.[Neil D. B.], Loach, D.P.[Daniel P.], Tsotsos, J.K.[John K.],
Visual Correlates of Fixation Selection: A Look at the Spatial Frequency Domain,
ICIP07(III: 289-292).
IEEE DOI 0709
BibRef

Bruce, N.D.B.[Neil D. B.], Tsotsos, J.K.[John K.],
An Attentional Framework for Stereo Vision,
CRV05(88-95).
IEEE DOI 0505
BibRef

Dobbins, A.,
Color, fusion, and stereopsis,
3DPVT04(705-705).
IEEE DOI 0412
BibRef

Wagner, M.D., O'Hallaron, D., Apostolopoulos, D., Urmson, C.,
Principles of Computer System Design for Stereo Perception,
CMU-RI-TR-02-01, January, 2002.
WWW Link. 0205
BibRef

Cross, G., Fitzgibbon, A.W., Zisserman, A.,
Parallax Geometry of Smooth Surfaces in Multiple Views,
ICCV99(323-329).
IEEE DOI BibRef 9900

Criminisi, A., Reid, I.D., Zisserman, A.,
Duality, Rigidity and Planar Parallax,
ECCV98(II: 846).
Springer DOI BibRef 9800

Sellathura, M.,
A Binocular Stereo Technique for 3-D Reconstruction of Electrical Discharges,
ICIP97(III: 284-287).
IEEE DOI BibRef 9700

Gonzalez, H.J.[Hernan J.], Cernuschi-Frias, B.,
Generation of Single Image Stereograms Based on Stochastic Textures,
ICIP96(III: 153-156).
IEEE DOI BibRef 9600

Burt, P.J.[Peter J.], Wixson, L.[Lambert], Salgian, G.[Garbis],
Electronically Directed 'Focal' Stereo,
ICCV95(94-101).
IEEE DOI Adjust (i.e. shift rows) the image to get a 0 disparity for a plane on the road surface rather than perpendicular to the camera axis. BibRef 9500

Bedekar, A.S.[Anand S.], Haralick, R.M., and Liu, X.F.[Xu-Fei],
Optimization Methods For Estimating 3D Object Parameters,
ARPA94(II:1017-1027). BibRef 9400

Bedekar, A.S., Haralick, R.M.,
A Bayesian method for triangulation and its application to finding corresponding points,
ICIP95(II: 362-365).
IEEE DOI 9510
BibRef

Radványi, A.G.[András G.],
Using Cellular Neural Network to 'See' random-dot stereograms,
CAIP93(846-853).
Springer DOI 9309
BibRef

Gimel'farb, G.L.,
Low-level computational mono and stereo vision: A Bayesian approach,
CAIP93(10-23).
Springer DOI 9309
BibRef

Nakagawa, M.[Masafumi], Kawai, Y.[Yoshihiro], Tomita, F.[Fumiaki],
Large-Scale Stereo for Improvement of 3D Measurement Accuracy in Gaze-Observation,
MVA09(58-).
PDF File. 0905
BibRef

Takahasu, H., Tomita, F.,
Large Scale Stereo Vision,
ICPR92(I:628-631).
IEEE DOI BibRef 9200

Steinhage, V.,
Verification of the General Position Assumption in the Practice of Stereovision,
ICPR92(I:746-749).
IEEE DOI BibRef 9200

Langley, K., Rogers, B.J., Brady, J.M.,
The computation of deformation and rotation in stereopsis,
BMVC90(xx-yy).
PDF File. 9009
BibRef

Goshtasby, A.,
A Refined Technique for Stereo Depth Perception,
CVWS84(125-129). BibRef 8400

Chapter on Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular continues in
Stereo Analysis: Point Matching, Low Level Feature Matching .