10.4 Stereo: Real Time Systems, Hardware Implementations

SRI Stereo Engine,
2007
WWW Link. Code, Stereo. Efficient implementation of area correlation stereo.

Real Time Dense Stereo,
2007
WWW Link. Code, Stereo. C++ library for real-time disparity estimation. It computes dense stereo matching from 2 or 3 images as well as 3D scene reconstruction.

Masunaga, M.[Makoto], Hosoe, K.[Kazuya], Tsunekawa, T.[Tokuichi], Tamura, S.[Shuichi], Yokota, H.[Hideo],
Range finding device,
US_Patent4,135,815, 01/23/1979.
HTML Version. Simple paralax detection and computation. BibRef 7901

Nishihara, H.K.,
Practical Real-Time Imaging Stereo Matcher,
OptEng(23), No. 5, September/October 1984, pp. 536-545. BibRef 8409
And: RCV87(63-72). An earlier, preliminary version was in BibRef SPIE(449), This uses the zero crossing based stereo technique of Marr and Poggio (
See also Cooperative Computation of Stereo Disparity. ) using the signs between the zero crossing. The intent is fast and noise tolerant stereo analysis. BibRef

Nishihara, H.K.,
PRISM: A Practical Real-Time Imaging Stereo Matcher,
MIT AI Memo-780, May 1984.
WWW Link. BibRef 8405

Nishihara, H.K., and Larson, N.G.,
Towards a Real Time Implementation of the Marr and Poggio Stereo Matcher,
DARPA81(114-120). BibRef 8100

Luh, J.Y.S., and Klaasen, J.A.,
A Three-Dimensional Vision by Off-Shelf System with Multi-Cameras,
PAMI(7), No. 1, January 1985, pp. 35-45. BibRef 8501

Anderson, C.H.[Charles H.], Matthies, L.H.[Larry H.],
Near real-time stereo vision system,
US_Patent5,179,441, Jan 12, 1993
WWW Link. JPL Work BibRef 9301

Lane, R.A., Thacker, N.A., Seed, N.L.,
Stretch-Correlation as a Real-Time Alternative to Feature-Based Stereo Matching Algorithms,
IVC(12), No. 4, May 1994, pp. 203-212.
Elsevier DOI Evaluation, Stereo. Evaluation of the algorithm performance by modeling the algorithm. BibRef 9405

Lane, R.A., Thacker, N.A., lvey, P.A.,
A Correlation Chip for Stereo Vision,
BMVC94(xx-yy).
PDF File. 9409
BibRef

Baylou, P., El Hadj Amor, B., Monsion, M., Bouvet, C., Bousseau, G.,
Detection and Three-Dimensional Localization by Stereoscopic Visual Sensor and Its Application to a Robot for Picking Asparagus,
PR(17), No. 4, 1984, pp. 377-384.
Elsevier DOI 9611
BibRef

Grumet, A.[Alex],
Automatic TV ranging system,
US_Patent4,601,053, Jul 15, 1986
WWW Link. BibRef 8607

Stella, E., Distante, A., Attolico, G., d'Orazio, T.,
A Modified Stereo Matching Suitable for Implementation on a Convolution Specialized Hardware,
PRL(13), 1992, pp. 523-528. BibRef 9200

Laine, A.F., Roman, G.C.,
A Parallel Algorithm for Incremental Stereo Matching on SIMD Machines,
RA(7), 1991, pp. 123-134. BibRef 9100
And: ICPR90(II: 484-490).
IEEE DOI 9208
BibRef

Saneyoshi, K.[Keiji],
Distance detection system for vehicles,
US_Patent5,307,136, 10/14/1992.
HTML Version. BibRef 9210

Ogawa, K.[Kenji],
Distance detecting apparatus and method for a vehicle,
US_Patent5,159,557, 10/27/1992.
HTML Version. For vehicle following system. BibRef 9210

Mahowald, M.[Misha],
An Analog VLSI System for Stereoscopic Vision,
KluwerMarch 1994, ISBN 0-7923-9444-5.
WWW Link. BibRef 9403

Hardin, L.C.[Larry C.], Nash, L.V.[Lawrence V.],
Electro-optical range finding and speed detection system,
US_Patent5,642,299, 06/24/1997.
HTML Version. BibRef 9706
Earlier:
Optical range and speed detection system,
US_Patent5,586,063, 12/17/1996.
WWW Link. Stereo system, apply to velocity also. BibRef

Connell, J.H.[Jonathan H.],
Stereo vision system for counting items in a queue,
US_Patent5,581,625, Dec 3, 1996
WWW Link. Simple parallex measurements. BibRef 9612

Yeung, K.T.D.[Kah T. D.],
Method and apparatus for three dimensional image reconstruction from multiple stereotactic or isocentric backprojections,
US_Patent5,588,033, Dec 24, 1996
WWW Link. From X-ray images. BibRef 9612

Zhang, Z.Y.,
A Stereovision System for a Planetary Rover: Calibration, Correlation, Registration, and Fusion,
MVA(10), No. 1, 1997, pp. 27-34.
Springer DOI 9705
Early version:
PS File. BibRef

Mulligan, J.,
Fast Calibrated Stereo Vision for Manipulation,
RealTimeImg(3), No. 5, October 1997, pp. 331-341. 9712
BibRef

Mulligan, J.[Jane], Isler, V.[Volkan], Daniilidis, K.[Kostas],
Trinocular Stereo: A Real-Time Algorithm and its Evaluation,
IJCV(47), No. 1-3, April-June 2002, pp. 51-61.
DOI Link Or:
PDF File. 0203
Stereo, Trinocular. BibRef

Mulligan, J., Daniilidis, K.,
Real Time Trinocular Stereo for Tele-immersion,
ICIP01(III: 959-962).
IEEE DOI
PDF File. 0108
BibRef

Mulligan, J.[Jane], Isler, V.[Volkan], Daniilidis, K.[Kostas],
Real-time Trinocular Stereo for Telepresence,
SMBV01(xx-yy). 0110
BibRef

Mulligan, J.[Jane], Daniilidis, K.[Kostas],
Trinocular Stereo for Non-parallel Configurations,
ICPR00(Vol I: 567-570).
IEEE DOI Or:
PDF File. 0009
BibRef

Mulligan, J., Daniilidis, K.,
Predicting Disparity Windows for Real-Time Stereo,
ECCV00(I: 220-235).
Springer DOI 0003
BibRef

Zanela, A., Taraglio, S.,
Sensing the 3rd Dimension in Stereo Vision Systems: A Cellular Neural Networks Approach,
EngAAI(11), No. 2, April 1998, pp. 203-213. 9807
BibRef

Taraglio, S.[Sergio], Zanela, A.[Andrea],
Improving a Real-Time Neural-Based Stereo Vision System,
RealTimeImg(7), No. 1, February 2001, pp. 59-76.
DOI Link 0106
BibRef

Taraglio, S.[Sergio], Zanela, A.[Andrea],
A Practical Use of Cellular Neural Networks: The Stereo-Vision Problem as an Optimisation,
MVA(11), No. 5, 2000, pp. 242-251.
Springer DOI 0004
BibRef

Yau, W.Y.[Wei Yun], Wang, H.[Han],
Fast Relative Depth Computation for an Active Stereo Vision System,
RealTimeImg(5), No. 3, June 1999, pp. 189-202. BibRef 9906

Kurabayashi, K.[Kazuyo], Matsushiro, N.[Nobuhito],
Video signal processing and apparatus therefor,
US_Patent6,141,035, Oct 31, 2000
WWW Link. stereo matching BibRef 0010

Hirabayashi, T.[Takehide], Shimizu, H.[Hideo], Izumi, A.[Akio],
Distance detection method using images,
US_Patent6,021,209, Feb 1, 2000
WWW Link. BibRef 0002

Robinson, M.[Max],
Visual presentation of information derived from a 3D image system,
US_Patent6,438,260, Aug 20, 2002
WWW Link. BibRef 0208

Hirschmüller, H.[Heiko], Innocent, P.R.[Peter R.], Garibaldi, J.[Jon],
Real-Time Correlation-Based Stereo Vision with Reduced Border Errors,
IJCV(47), No. 1-3, April-June 2002, pp. 229-246.
DOI Link 0203
BibRef

Hirschmueller, H.[Heiko],
Improvements in Real-Time Correlation-Based Stereo Vision,
SMBV01(xx-yy). 0110
BibRef

Porr, B.[Bernd], Nürenberg, B.[Bernd], Wörgötter, F.[Florentin],
A VLSI-Compatible Computer Vision Algorithm for Stereoscopic Depth Analysis in Real-Time,
IJCV(49), No. 1, August 2002, pp. 39-55.
DOI Link 0209
BibRef

Vergauwen, M.[Maarten], Pollefeys, M.[Marc], Van Gool, L.J.[Luc J.],
A stereo-vision system for support of planetary surface exploration,
MVA(14), No. 1, 2003, pp. 5-14.
Springer DOI 0304
BibRef
Earlier: CVS01(298-312).
Springer DOI 0106
BibRef

di Stefano, L.[Luigi], Mattoccia, S.[Stefano],
Real-Time Stereo within the VIDET Project,
RealTimeImg(8), No. 5, October 2002, pp. 439-453.
DOI Link 0304
BibRef

Beghdadi, A.[Azeddine], Mesbah, M.[Mostefa], Monteil, J.[Jerôme],
A fast incremental approach for accurate measurement of the displacement field,
IVC(21), No. 4, April 2003, pp. 383-399.
Elsevier DOI 0301
BibRef

Hayashi, K.[Kazuyoshi],
Image processing apparatus, image processing method and transmission medium,
US_Patent6,526,157, Feb 25, 2003
WWW Link. BibRef 0302
And: US_Patent6,625,301, Sep 23, 2003
WWW Link. BibRef

Yoon, S.[Sukjune], Park, S.K.[Sung-Kee], Kang, S.C.[Sung-Chul], Kwak, Y.K.[Yoon Keun],
Fast correlation-based stereo matching with the reduction of systematic errors,
PRL(26), No. 14, 15 October 2005, pp. 2221-2231.
Elsevier DOI 0510
Address real time problems. BibRef

Albertz, J.[Joerg], Attwenger, M.[Maria], Barrett, J.[Janet], Casley, S.[Simon], Dorninger, P.[Peter], Dorrer, E.[Egon], Ebner, H.[Heinrich], Gehrke, S.[Stephan], Giese, B.[Bernd], Gwinner, K.[Klaus], Heipke, C.[Christian], Howington-Kraus, E.[Elpitha], Kirk, R.L.[Randolph L.], Lehmann, H.[Hartmut], Mayer, H.[Helmut], Muller, J.P.[Jan-Peter], Oberst, J.[Juergen], Ostrovskiy, A.[Alexey], Renter, J.[Joerg], Reznik, S.[Sergiy], Schmidt, R.[Ralph], Scholten, F.[Frank], Spiegel, M.[Michael], Stilla, U.[Uwe], Wählisch, M.[Marita], Neukum, G.[Gerhard], Team, t.H.C.I.[the HRSC Co-Investigator],
HRSC on Mars Express: Photogrammetric and Cartographic Research,
PhEngRS(71), No. 10, October 2005, pp. 1153-1166.
WWW Link. 0602
A summary of the activities and results of the High Resolution Stereo Camera on the European spacecraft Mars Express.
See also Mars Express HRSC Data Processing: Methods and Operational Aspects. BibRef

Darabiha, A.[Ahmad], MacLean, W.J.[W. James], Rose, J.[Jonathan],
Reconfigurable hardware implementation of a phase-correlation stereo algorithm,
MVA(17), No. 2, May 2006, pp. 116-132.
Springer DOI
PDF File. 0605
BibRef
Earlier: A1, A3, A2:
Video-rate stereo depth measurement on programmable hardware,
CVPR03(I: 203-210).
IEEE DOI 0307
BibRef

MacLean, W.J.[W. James], Tsotsos, J.K.[John K.],
Fast pattern recognition using normalized grey-scale correlation in a pyramid image representation,
MVA(19), No. 3, May 2008, pp. 163-179.
Springer DOI 0803
BibRef

Worby, J.[Joshua], MacLean, W.J.[W. James],
Establishing Visual Correspondence from Multi-Resolution Graph Cuts for Stereo-Motion,
CRV07(313-320).
IEEE DOI 0705
BibRef

Masrani, D.K.[Divyang K.], MacLean, W.J.[W. James],
A Real-Time Large Disparity Range Stereo-System Using FPGAs,
ACCV06(II:42-51).
Springer DOI 0601
BibRef
And: CVS06(13).
IEEE DOI 0602
BibRef
Earlier:
Expanding Disparity Range in an FPGA Stereo System While Keeping Resource Utilization Low,
EmbedCV05(III: 132-132).
IEEE DOI 0507
BibRef

Avidan, S.[Shai], Moses, Y.[Yael], Moses, Y.[Yoram],
Centralized and Distributed Multi-view Correspondence,
IJCV(71), No. 1, January 2007, pp. 49-69.
Springer DOI 0609
BibRef
Earlier:
Probabilistic Multi-view Correspondence in a Distributed Setting with No Central Server,
ECCV04(Vol IV: 428-441).
Springer DOI 0405
Each camera on different computer, network connection. Minimize image transmission. Use standard stereo algorithm. BibRef

López-Valles, J.M.[José M.], Fernández, M.A.[Miguel A.], Fernández-Caballero, A.[Antonio],
Stereovision depth analysis by two-dimensional motion charge memories,
PRL(28), No. 1, 1 January 2007, pp. 20-30.
Elsevier DOI 0611
Stereovision; Permanency memories; Disparity analysis; Depth analysis BibRef

Diaz, J., Ros, E., Carrillo, R., Prieto, A.,
Real-Time System for High-Image Resolution Disparity Estimation,
IP(16), No. 1, January 2007, pp. 280-285.
IEEE DOI 0701
BibRef

Ralli, J.[Jarno], Pelayo, F.[Francisco], Diaz, J.[Javier],
Increasing Efficiency in Disparity Calculation,
BVAI07(298-307).
Springer DOI 0710
BibRef

Ralli, J.[Jarno], Díaz, J.[Javier], Ros, E.[Eduardo],
A method for sparse disparity densification using voting mask propagation,
JVCIR(21), No. 1, January 2010, pp. 67-74.
Elsevier DOI 1002
Disparity densification; Voting based propagation; Voting based disparity disambiguation and densification; Stereo disambiguation by voting; Directional mask driven voting for densification; Disparity densification by anisotropic voting process; Disparity spatial support driven by a voting process; Gradient driven stereo densification BibRef

Ralli, J.[Jarno], Díaz, J.[Javier], Kalkan, S.[Sinan], Krüger, N.[Norbert], Ros, E.[Eduardo],
Disparity disambiguation by fusion of signal- and symbolic-level information,
MVA(23), No. 1, January 2012, pp. 65-77.
WWW Link. 1201
BibRef

Ralli, J.[Jarno], Díaz, J.[Javier], Ros, E.[Eduardo],
Spatial and temporal constraints in variational correspondence methods,
MVA(24), No. 2, February 2013, pp. 275-287.
WWW Link. 1302
BibRef

Sumi, Y.S.[Yasu-Shi], Ishiyama, Y.[Yutaka], Tomita, F.[Fumiaki],
Robot-vision architecture for real-time 6-DOF object localization,
CVIU(105), No. 3, March 2007, pp. 218-230.
Elsevier DOI 0704
BibRef
Earlier:
Hyper frame vision: A real-time vision system for 6-DOF object localization,
ICPR02(III: 577-580).
IEEE DOI 0211
Real-time vision system; 6-DOF motion; Model-based localization; Recognition; Identification; Tracking; Stereo vision BibRef

Konolige, K.G.[Kurt G.],
Realtime stereo and motion analysis on passive video images using an efficient image-to-image comparison algorithm requiring minimal buffering,
US_Patent7,194,126, Mar 20, 2007
WWW Link. BibRef 0703

Woodlill, J.I., Buck, R., Jurasek, D., Gordon, G.G., Brown, T.,
3D Vision: Developing an Embedded Stereo-Vision System,
Computer(40), No. 5, May 2007, pp. 106-108.
IEEE DOI 0705
BibRef

Gong, M.L.[Ming-Lun], Yang, R.G.[Rui-Gang], Wang, L.[Liang], Gong, M.W.[Ming-Wei],
A Performance Study on Different Cost Aggregation Approaches Used in Real-Time Stereo Matching,
IJCV(75), No. 2, November 2007, pp. 283-296.
Springer DOI 0710
BibRef
Earlier: A3, A3, A1, A2:
How Far Can We Go with Local Optimization in Real-Time Stereo Matching,
3DPVT06(129-136).
IEEE DOI 0606
BibRef

Wang, L.[Liang], Yang, R.G.[Rui-Gang], Gong, M.L.[Ming-Lun], Liao, M.[Miao],
Real-time stereo using approximated joint bilateral filtering and dynamic programming,
RealTimeIP(9), No. 3, September 2014, pp. 447-461.
WWW Link. 1408
BibRef

Wang, L.[Liang], Liao, M.[Miao], Gong, M.L.[Ming-Lun], Yang, R.G.[Rui-Gang], Nister, D.[David],
High-Quality Real-Time Stereo Using Adaptive Cost Aggregation and Dynamic Programming,
3DPVT06(798-805).
IEEE DOI 0606
BibRef

Chaikalis, D.P., Sgouros, N.P., Maroulis, D.E., Papageorgas, P.,
Hardware implementation of a disparity estimation scheme for real-time compression in 3D imaging applications,
JVCIR(19), No. 1, January 2008, pp. 1-11.
Elsevier DOI 0711
3D Imaging; Integral Photography; Autostereoscopic display; Hardware; FPGA; Real-time; Compression BibRef

Chaikalis, D.P., Passalis, G., Sgouros, N.P., Maroulis, D.E., Theoharis, T.,
Near Real-Time 3D Reconstruction from InIm Video Stream,
ICIAR08(xx-yy).
Springer DOI 0806
BibRef

Li, S.G.[Shi-Gang],
Monitoring Around a Vehicle by a Spherical Image Sensor,
ITS(7), No. 4, December 2006, pp. 541-550.
IEEE DOI 0701
BibRef
Earlier:
Real-Time Spherical Stereo,
ICPR06(III: 1046-1049).
IEEE DOI 0609
BibRef
And:
Full-View Spherical Image Camera,
ICPR06(IV: 386-390).
IEEE DOI 0609
BibRef

Hamaguchi, T.[Takayuki],
Method and apparatus for generating three-dimensional data of an object by selecting the method for detecting corresponding points that is suitable to the object,
US_Patent6,996,266, Feb 7, 2006
WWW Link. BibRef 0602

Sogawa, Y.[Yoshiyuki],
Apparatus and method for stereo matching and method of calculating an infinite distance corresponding point,
US_Patent7,092,015, Aug 15, 2006
WWW Link. BibRef 0608

Hildreth, E.[Evan], MacDougall, F.[Francis],
Video-based image control system,
US_Patent7,227,526, Jun 5, 2007
WWW Link. BibRef 0706

Li, S.G.[Shi-Gang],
Binocular Spherical Stereo,
ITS(9), No. 4, December 2008, pp. 589-600.
IEEE DOI 0812
BibRef

Tanaka, Y.[Yuu], Yamashita, A.[Atsushi], Kaneko, T.[Toru], Miura, K.T.[Kenjiro T.],
Removal of Adherent Waterdrops from Images Acquired with a Stereo Camera System,
IEICE(E89-D), No. 7, July 2006, pp. 2021-2027.
DOI Link 0607
Use stereo date to remove the water drops. BibRef

Miled, W., Pesquet, J.C., Parent, M.,
A Convex Optimization Approach for Depth Estimation Under Illumination Variation,
IP(18), No. 4, April 2009, pp. 813-830.
IEEE DOI 0903
BibRef
Earlier: A1, A2, Only:
Disparity Map Estimation Using A Total Variation Bound,
CRV06(48-48).
IEEE DOI 0607
BibRef

Zhang, K.[Ke], Lu, J.B.[Jiang-Bo], Lafruit, G.[Gauthier],
Cross-Based Local Stereo Matching Using Orthogonal Integral Images,
CirSysVideo(19), No. 7, July 2009, pp. 1073-1079.
IEEE DOI 0909

See also Stream-Centric Stereo Matching and View Synthesis: A High-Speed Approach on GPUs. BibRef

Jin, S.H.[Seung-Hun], Cho, J.[Junguk], Pham, X.D.[Xuan Dai], Lee, K.M.[Kyoung Mu], Park, S.K.[Sung-Kee], Kim, M.S.[Mun-Sang], Jeon, J.W.[Jae Wook],
FPGA Design and Implementation of a Real-Time Stereo Vision System,
CirSysVideo(20), No. 1, January 2010, pp. 15-26.
IEEE DOI 1002
BibRef

Pham, C.C.[Cuong Cao], Nguyen, V.D.[Vinh Dinh], Jeon, J.W.[Jae Wook],
Efficient spatio-temporal local stereo matching using information permeability filtering,
ICIP12(2965-2968).
IEEE DOI 1302
BibRef

Chang, N.Y.C., Tsai, T.H.[Tsung-Hsien], Hsu, B.H.[Bo-Hsiung], Chen, Y.C.[Yi-Chun], Chang, T.S.[Tian-Sheuan],
Algorithm and Architecture of Disparity Estimation With Mini-Census Adaptive Support Weight,
CirSysVideo(20), No. 6, June 2010, pp. 792-805.
IEEE DOI 1007
Real-time stereo. BibRef

El Ansari, M.[Mohamed], Mousset, S.[Stephane], Bensrhair, A.[Abdelaziz],
Temporal consistent real-time stereo for intelligent vehicles,
PRL(31), No. 11, 1 August 2010, pp. 1226-1238.
Elsevier DOI 1008
Stereo vision; Stereo matching; Stereo image sequences; Intelligent vehicles; Real-time; Temporal consistency BibRef

Miron, A.[Alina], Ainouz, S.[Samia], Rogozan, A.[Alexandrina], Bensrhair, A.[Abdelaziz],
A robust cost function for stereo matching of road scenes,
PRL(38), No. 1, 2014, pp. 70-77.
Elsevier DOI 1402
BibRef
Earlier:
Towards a robust and fast color stereo matching for intelligent vehicle application,
ICIP12(465-468).
IEEE DOI 1302
Stereo vision BibRef

Wang, F.[Fan], Miron, A.[Alina], Ainouz, S.[Samia], Bensrhair, A.[Abdelaziz],
Post-aggregation stereo matching method using Dempster-Shafer theory,
ICIP14(3783-3787)
IEEE DOI 1502
Computer vision BibRef

Ambrosch, K.[Kristian], Kubinger, W.[Wilfried],
Accurate hardware-based stereo vision,
CVIU(114), No. 11, November 2010, pp. 1303-1316.
Elsevier DOI 1011
BibRef
And: Corrigendum: CVIU(115), No. 2, February 2011, pp. 287.
Elsevier DOI 1102
Stereo vision; Embedded; Real-time; FPGA; ASIC; VLSI BibRef

Yu, W., Chen, T., Franchetti, F., Hoe, J.C.,
High Performance Stereo Vision Designed for Massively Data Parallel Platforms,
CirSysVideo(20), No. 11, November 2010, pp. 1509-1519.
IEEE DOI 1011
BibRef

Tseng, Y.C., Chang, T.S.,
Architecture Design of Belief Propagation for Real-Time Disparity Estimation,
CirSysVideo(20), No. 11, November 2010, pp. 1555-1564.
IEEE DOI 1011
BibRef

Xiao, Y., Fisher, R.B., Oscar, M.,
Performance characterization of a high-speed stereo vision sensor for acquisition of time-varying 3D shapes,
MVA(22), No. 3, May 2011, pp. 535-549.
WWW Link. 1104
BibRef

Nalpantidis, L., Amanatiadis, A., Sirakoulis, G.C., Gasteratos, A.,
Efficient hierarchical matching algorithm for processing uncalibrated stereo vision images and its hardware architecture,
IET-IPR(5), No. 5, 2011, pp. 481-492.
DOI Link 1108
BibRef

Tippetts, B.J., Lee, D.J., Archibald, J.K., Lillywhite, K.D.,
Dense Disparity Real-Time Stereo Vision Algorithm for Resource-Limited Systems,
CirSysVideo(21), No. 10, October 2011, pp. 1547-1555.
IEEE DOI 1110
BibRef

Tippetts, B.J.[Beau J.], Lee, D.J.[Dah Jye], Lillywhite, K.D.[Kirt D.], Archibald, J.K.[James K.],
Efficient stereo vision algorithms for resource-limited systems,
RealTimeIP(10), No. 1, March 2015, pp. 163-174.
Springer DOI 1503
BibRef

Tippetts, B.J.[Beau J.], Lee, D.J.[Dah Jye], Lillywhite, K.[Kirt], Archibald, J.K.[James K.],
Review of stereo vision algorithms and their suitability for resource-limited systems,
RealTimeIP(11), No. 1, January 2016, pp. 5-25.
Springer DOI 1601
Survey, Stereo. BibRef

Fife, W.S., Archibald, J.K.,
Improved Census Transforms for Resource-Optimized Stereo Vision,
CirSysVideo(23), No. 1, January 2013, pp. 60-73.
IEEE DOI 1302
BibRef

Georgoulas, C.[Christos], Andreadis, I.[Ioannis],
A real-time fuzzy hardware structure for disparity map computation,
RealTimeIP(6), No. 4, December 2011, pp. 257-273.
WWW Link. 1111
BibRef
Earlier:
A Real-Time Occlusion Aware Hardware Structure for Disparity Map Computation,
CIAP09(721-730).
Springer DOI 0909
BibRef

Greisen, P.[Pierre], Heinzle, S.[Simon], Gross, M.[Markus], Burg, A.P.[Andreas P.],
An FPGA-based processing pipeline for high-definition stereo video,
JIVP(2011), No. 1 2011, pp. xx-yy.
DOI Link 1203
BibRef

Ding, J.T.[Jing-Ting], Liu, J.L.[Ji-Lin], Zhou, W.H.[Wen-Hui], Yu, H.B.[Hai-Bin], Wang, Y.C.[Yan-Chang], Gong, X.J.[Xiao-Jin],
Real-time stereo vision system using adaptive weight cost aggregation approach,
JIVP(2011), No. 1 2011, pp. xx-yy.
DOI Link 1203
BibRef

Park, S.C.[Sung-Chan], Chen, C.[Chao], Jeong, H.[Hong], Han, S.[Sang],
Real-time stereo matching architecture based on 2D MRF model: A Memory-Efficient Systolic Array,
JIVP(2011), No. 1 2011, pp. xx-yy.
DOI Link 1203
BibRef

Chen, L.[Lei], Jia, Y.D.[Yun-De], Li, M.X.[Ming-Xiang],
An FPGA-based RGBD imager,
MVA(23), No. 3, May 2012, pp. 513-525.
WWW Link. 1204
Trinocular stereo vision system using a single chip. BibRef

Guerra-Filho, G.[Gutemberg],
An optimal time-space algorithm for dense stereo matching,
RealTimeIP(7), No. 2, June 2012, pp. 69-86.
WWW Link. 1202
BibRef

Mroz, F., Breckon, T.P.[Toby P.],
An empirical comparison of real-time dense stereo approaches for use in the automotive environment,
JIVP(2012), No. 1 2012, pp. xx-yy.
DOI Link 1209
BibRef

de la Garanderie, G.P.[Gregoire Payen], Breckon, T.P.[Toby P.],
Improved Depth Recovery In Consumer Depth Cameras via Disparity Space Fusion within Cross-spectral Stereo,
BMVC14(xx-yy).
HTML Version. 1410
BibRef

Pinggera, P.[Peter], Breckon, T.P.[Toby P.], Bischof, H.[Horst],
On Cross-Spectral Stereo Matching using Dense Gradient Features,
BMVC12(103).
DOI Link 1301
BibRef

Xiang, X.Q.[Xue-Qin], Zhang, M.M.[Ming-Min], Li, G.X.[Guang-Xia], He, Y.Y.[Yu-Yong], Pan, Z.G.[Zhi-Geng],
Real-time stereo matching based on fast belief propagation,
MVA(23), No. 6, November 2012, pp. 1219-1227.
WWW Link. 1210
BibRef

Perri, S.[Stefania], Corsonello, P.[Pasquale], Cocorullo, G.[Giuseppe],
Adaptive Census Transform: A novel hardware-oriented stereovision algorithm,
CVIU(117), No. 1, January 2013, pp. 29-41.
Elsevier DOI 1212
Stereovision algorithm; VLSI; Disparity Map Calculation BibRef

Gupta, R.K.[Raj Kumar], Cho, S.Y.[Siu-Yeung],
Window-based approach for fast stereo correspondence,
IET-CV(7), No. 2, 2013, pp. xx-yy.
DOI Link 1307
BibRef
Earlier:
A color-based approach for disparity refinement,
ICARCV10(664-667).
IEEE DOI 1109
BibRef
And:
A Correlation-Based Approach for Real-Time Stereo Matching,
ISVC10(II: 129-138).
Springer DOI 1011
BibRef
And:
Real-time Stereo Matching using Adaptive Binary Window,
3DPVT10(xx-yy).
WWW Link. 1005
BibRef

Gimel'farb, G.L.[Georgy L.], Nicolescu, R.[Radu], Ragavan, S.[Sharvin],
P System Implementation of Dynamic Programming Stereo,
JMIV(47), No. 1-2, September 2013, pp. 13-26.
Springer DOI 1307
BibRef
Earlier:
P Systems in Stereo Matching,
CAIP11(II: 285-292).
Springer DOI 1109
network of cellular systems BibRef

Hosseini, F.[Fouzhan], Fijany, A.[Amir], Safari, S.[Saeed], Fontaine, J.G.[Jean-Guy],
Fast implementation of dense stereo vision algorithms on a highly parallel SIMD architecture,
RealTimeIP(8), No. 4, December 2013, pp. 421-435.
Springer DOI 1312
BibRef

Hosseini, F.[Fouzhan], Fijany, A.[Amir], Safari, S.[Saeed], Chellali, R.[Ryad], Fontaine, J.G.[Jean-Guy],
Real-Time Parallel Implementation of SSD Stereo Vision Algorithm on CSX SIMD Architecture,
ISVC09(I: 808-818).
Springer DOI 0911
BibRef

Michailidis, G., Pajarola, R., Andreadis, I.,
High Performance Stereo System for Dense 3-D Reconstruction,
CirSysVideo(24), No. 6, June 2014, pp. 929-941.
IEEE DOI 1407
Cameras BibRef

Alba, A.[Alfonso], Arce-Santana, E.[Edgar], Aguilar-Ponce, R.M.[Ruth M.], Campos-Delgado, D.U.[Daniel U.],
Phase-correlation guided area matching for realtime vision and video encoding,
RealTimeIP(9), No. 4, December 2014, pp. 621-633.
Springer DOI
WWW Link. 1411
BibRef
Earlier: A1, A2, Only:
Phase-Correlation Guided Search for Realtime Stereo Vision,
IWCIA09(212-223).
Springer DOI 0911
BibRef

Zilly, F.[Frederik], Riechert, C.[Christian], Müller, M.[Marcus], Eisert, P.[Peter], Sikora, T.[Thomas], Kauff, P.[Peter],
Real-time generation of multi-view video plus depth content using mixed narrow and wide baseline,
JVCIR(25), No. 4, 2014, pp. 632-648.
Elsevier DOI 1403
BibRef
Earlier: A1, A2, A3, A6, Only:
Generation of multi-view video plus depth content using mixed narrow and wide baseline setup,
3DTV12(1-4).
IEEE DOI 1212
BibRef
Earlier: A2, A1, A3, A6, Only:
Real-time disparity estimation using line-wise hybrid recursive matching and cross-bilateral median up-sampling,
ICPR12(3168-3171).
WWW Link. 1302
BibRef
Earlier: A3, A1, A2, A6, Only:
Spatio-temporal consistent depth maps from multi-view video,
3DTV11(1-4).
IEEE DOI 1105
3D-TV BibRef

Yang, D., Chu, L., Chen, C., Wang, J., Shieh, M.,
Depth-Reliability-Based Stereo-Matching Algorithm and Its VLSI Architecture Design,
CirSysVideo(25), No. 6, June 2015, pp. 1038-1050.
IEEE DOI 1506
Algorithm design and analysis BibRef

Wang, W.Q.[Wen-Qiang], Yan, J.[Jing], Xu, N.Y.[Ning-Yi], Wang, Y.[Yu], Hsu, F.H.[Feng-Hsiung],
Real-Time High-Quality Stereo Vision System in FPGA,
CirSysVideo(25), No. 10, October 2015, pp. 1696-1708.
IEEE DOI 1511
field programmable gate arrays BibRef

Choi, S.[Seungmin], Jeong, J.C.[Jae-Chan], Chang, J.[Jiho], Shin, H.[Hochul], Lim, E.G.[Eul-Gyoon], Cho, J.I.[Jae Il], Hwang, D.[Daehwan],
Implementation of Real-Time Post-Processing for High-Quality Stereo Vision,
ETRI(37), No. 4, August 2015, pp. 752-765.
DOI Link 1511
BibRef

Choi, J., Rutenbar, R.A.,
Video-Rate Stereo Matching Using Markov Random Field TRW-S Inference on a Hybrid CPU: FPGA Computing Platform,
CirSysVideo(26), No. 2, February 2016, pp. 385-398.
IEEE DOI 1602
Computer architecture BibRef

Santos, P.M.[Pedro Miguel], Ferreira, J.C.[João Canas], Matos, J.S.[José Silva],
Scalable hardware architecture for disparity map computation and object location in real-time,
RealTimeIP(11), No. 3, March 2016, pp. 473-485.
Springer DOI 1604
BibRef

Wang, J., Xiong, Z., Wang, Z., Zhang, Y., Wu, F.,
FPGA Design and Implementation of Kinect-Like Depth Sensing,
CirSysVideo(26), No. 6, June 2016, pp. 1175-1186.
IEEE DOI 1606
Accuracy BibRef

Park, J.S., Kim, H.E., Kim, H.Y., Lee, J., Kim, L.S.,
A Vision Processor With a Unified Interest-Point Detection and Matching Hardware for Accelerating a Stereo-Matching Algorithm,
CirSysVideo(26), No. 12, December 2016, pp. 2328-2343.
IEEE DOI 1612
Feature extraction BibRef

Yao, S.J.[Shao-Jun], Wang, L.H.[Liang-Hao], Lin, C.L.[Cheng-Liang], Zhang, M.[Ming],
Real-time stereo to multi-view conversion system based on adaptive meshing,
RealTimeIP(14), No. 2, February 2018, pp. 481-499.
Springer DOI 1804
BibRef

Dehnavi, M., Eshghi, M.,
Cost and power efficient FPGA based stereo vision system using directional graph transform,
JVCIR(56), 2018, pp. 106-115.
Elsevier DOI 1811
FPGA, Stereo vision, Hardware architecture, Disparity map BibRef

Zach, C.[Christopher],
Generalized Fusion Moves for Continuous Label Optimization,
CVIU(173), 2018, pp. 47-56.
Elsevier DOI 1901
BibRef
Earlier: ACCV16(V: 67-81).
Springer DOI 1704
Award, ACCV. Energy minimization, Markov random fields, Convex relaxations, Low-level vision BibRef

Zach, C.[Christopher], Sormann, M.[Mario], Karner, K.[Konrad],
Scanline Optimization for Stereo on Graphics Hardware,
3DPVT06(512-518).
IEEE DOI 0606
BibRef

Jin, Y.S.[Yong-Sik], Lee, M.H.[Min-Ho],
Enhancing Binocular Depth Estimation Based on Proactive Perception and Action Cyclic Learning for an Autonomous Developmental Robot,
SMCS(49), No. 1, January 2019, pp. 169-180.
IEEE DOI 1901
Estimation, Robot sensing systems, Learning (artificial intelligence), Cameras, Humanoid robots, stereo vision systems BibRef

Pérez-Patricio, M.[Madaín], Aguilar-González, A.[Abiel],
FPGA implementation of an efficient similarity-based adaptive window algorithm for real-time stereo matching,
RealTimeIP(16), No. 2, April 2019, pp. 271-287.
WWW Link. 1904
BibRef

Vázquez-Delgado, H.D.[Héctor-Daniel], Pérez-Patricio, M.[Madaín], Aguilar-González, A.[Abiel], Arias-Estrada, M.O.[Miguel-Octavio], Palacios-Ramos, M.A.[Marco-Antonio], Camas-Anzueto, J.L.[Jorge Luis], Pérez-Cruz, A.[Antonio], Velázquez-Trujillo, S.[Sabino],
Real-time multi-window stereo matching algorithm with fuzzy logic,
IET-CV(15), No. 3, 2021, pp. 208-223.
DOI Link 2106
BibRef

Tian, L.[Liang], Liu, J.[Jing], Ling, H.B.[Hai-Bin], Guo, W.[Wei],
Disparity estimation in stereo video sequence with adaptive spatiotemporally consistent constraints,
VC(35), No. 10, October 2018, pp. 1427-1446.
WWW Link. 1909
BibRef

Ferrera, M., Boulch, A.[Alexandre], Moras, J.[Julien],
Fast Stereo Disparity Maps Refinement By Fusion of Data-Based And Model-Based Estimations,
3DV19(9-17)
IEEE DOI 1806
Pipelines, Computational modeling, Estimation, Robots, Real-time systems, Disparity Refinement BibRef

Fan, R.[Rui], Duanmu, S.C.[Si-Cheng], Liu, Y.[Yanan], Zhu, Y.L.[Yi-Long], Jiao, J.H.[Jian-Hao], Bocus, M.J.[Mohammud Junaid], Yu, Y.[Yang], Wang, L.[Lujia], Liu, M.[Ming],
Real-time Binocular Vision Implementation on an Soc Tms320c6678 DSP,
CVS19(13-23).
Springer DOI 1912
BibRef

Perri, S.[Stefania], Frustaci, F.[Fabio], Spagnolo, F.[Fanny], Corsonello, P.[Pasquale],
Stereo vision architecture for heterogeneous systems-on-chip,
RealTimeIP(17), No. 2, April 2020, pp. 393-415.
Springer DOI 2004
BibRef

Zhang, X., Dai, H., Sun, H., Zheng, N.,
Algorithm and VLSI Architecture Co-Design on Efficient Semi-Global Stereo Matching,
CirSysVideo(30), No. 11, November 2020, pp. 4390-4403.
IEEE DOI 2011
Hardware, System-on-chip, Image quality, Throughput, Real-time systems, Bandwidth, Stereo vision, large disparity BibRef

Xie, Y., Zheng, S., Li, W.,
Feature-Guided Spatial Attention Upsampling for Real-Time Stereo Matching Network,
MultMedMag(28), No. 1, January 2021, pp. 38-47.
IEEE DOI 2104
Feature extraction, Convolution, Stereo vision, Benchmark testing, Real-time systems, real-time method BibRef

Yang, M.L.[Meng-Long], Wu, F.R.[Fang-Rui], Li, W.[Wei],
RLStereo: Real-Time Stereo Matching Based on Reinforcement Learning,
IP(30), 2021, pp. 9442-9455.
IEEE DOI 2112
Costs, Reinforcement learning, Deep learning, Machine learning algorithms, convolutional neural networks BibRef

Lee, Y.[Yeongmin], Kim, H.[Hyeji],
A High-Throughput Depth Estimation Processor for Accurate Semiglobal Stereo Matching Using Pipelined Inter-Pixel Aggregation,
CirSysVideo(32), No. 1, January 2022, pp. 411-422.
IEEE DOI 2201
Estimation, Parallel processing, Memory management, Throughput, Image resolution, Pipelines, cost aggregation BibRef

Lu, Z.M.[Zhi-Min], Wang, J.[Jue], Li, Z.W.[Zhi-Wei], Chen, S.[Song], Wu, F.[Feng],
A Resource-Efficient Pipelined Architecture for Real-Time Semi-Global Stereo Matching,
CirSysVideo(32), No. 2, February 2022, pp. 660-673.
IEEE DOI 2202
Hardware, Field programmable gate arrays, Throughput, Real-time systems, Transforms, Stereo vision, Image edge detection, pipelined architecture BibRef

Miyama, M.[Masayuki],
FPGA Implementation of 3-Bit Quantized Multi-Task CNN for Contour Detection and Disparity Estimation,
IEICE(E105-D), No. 2, February 2022, pp. 406-414.
WWW Link. 2202
BibRef

Wen, B.[Bin], Zhu, H.[Han], Yang, C.[Chao], Li, Z.C.[Zhi-Cong], Cao, R.[Renxuan],
Feature back-projection guided residual refinement for real-time stereo matching network,
SP:IC(103), 2022, pp. 116636.
Elsevier DOI 2203
Convolution neural networks, Feature back-projection, Real-time, Residual refinement, Stereo matching BibRef

Dai, H.[He], Zhang, X.[Xuchong], Zhao, Y.L.[Yong-Li], Sun, H.B.[Hong-Bin], Zheng, N.N.[Nan-Ning],
Adaptive Disparity Candidates Prediction Network for Efficient Real-Time Stereo Matching,
CirSysVideo(32), No. 5, May 2022, pp. 3099-3110.
IEEE DOI 2205
Real-time systems, Estimation, Convolution, Computational modeling, Mobile applications, mobile application BibRef

Chuah, W.Q.[Wei-Qin], Tennakoon, R.[Ruwan], Hoseinnezhad, R.[Reza], Bab-Hadiashar, A.[Alireza],
Deep Learning-Based Incorporation of Planar Constraints for Robust Stereo Depth Estimation in Autonomous Vehicle Applications,
ITS(23), No. 7, July 2022, pp. 6654-6665.
IEEE DOI 2207
Estimation, Sensors, Laser radar, Computational modeling, Image segmentation, Feature extraction, Stereo matching, planar geometry constraint BibRef

Dinh, V.Q.[Vinh Quang], Nguyen, P.H.[Phuc Hong], Nguyen, V.D.[Vinh Dinh],
Feature Engineering and Deep Learning for Stereo Matching Under Adverse Driving Conditions,
ITS(23), No. 7, July 2022, pp. 7855-7865.
IEEE DOI 2207
Deep learning, Lighting, Real-time systems, Feature extraction, Intelligent transportation systems, Correlation, and stereo data cost BibRef

Loni, M.[Mohammad], Zoljodi, A.[Ali], Majd, A.[Amin], Ahn, B.H.[Byung Hoon], Daneshtalab, M.[Masoud], Sjödin, M.[Mikael], Esmaeilzadeh, H.[Hadi],
FastStereoNet: A Fast Neural Architecture Search for Improving the Inference of Disparity Estimation on Resource-Limited Platforms,
SMCS(52), No. 8, August 2022, pp. 5222-5234.
IEEE DOI 2208
Estimation, Task analysis, Field programmable gate arrays, Neural networks, Training, transfer learning BibRef

Xue, Y.B.[Yan-Bing], Zhang, D.D.[Dou-Dou], Li, L.[Leida], Li, S.Y.[Shi-Yin], Wang, Y.X.[Yu-Xin],
Lightweight multi-scale convolutional neural network for real time stereo matching,
IVC(124), 2022, pp. 104510.
Elsevier DOI 2208
Stereo matching, Multi-scale, Refinement, Lightweight BibRef

Kim, S.[Sunok], Kim, S.[Seungryong], Min, D.B.[Dong-Bo], Frossard, P.[Pascal], Sohn, K.H.[Kwang-Hoon],
Stereo Confidence Estimation via Locally Adaptive Fusion and Knowledge Distillation,
PAMI(45), No. 5, May 2023, pp. 6372-6385.
IEEE DOI 2304
BibRef
Earlier: A1, A2, A3, A5, Only:
LAF-Net: Locally Adaptive Fusion Networks for Stereo Confidence Estimation,
CVPR19(205-214).
IEEE DOI 2002
Feature extraction, Costs, Estimation, Color, Knowledge engineering, Training, Image color analysis, Stereo matching, deep learning BibRef

Zhao, Y.C.[You-Chen], Zhong, H.[Hua], Jia, B.Y.[Bo-Yuan], Li, H.X.[Hai-Xiong],
A fast stereo matching network based on temporal attention and 2D convolution,
PR(144), 2023, pp. 109808.
Elsevier DOI 2310
Stereo matching, Temporal attention, 2D Convolution, Edge cues, Pyramid cost volume BibRef

Yao, B.[Bowen], Wei, W.[Wei], Huang, J.[Jinhao], Liang, B.[Bifa], Li, J.[Jun],
Re-Parameterized Real-Time Stereo Matching Network Based on Mixed Cost Volumes Toward Autonomous Driving,
ITS(24), No. 12, December 2023, pp. 14914-14926.
IEEE DOI 2312
BibRef

Fu, D.X.[Dong-Xin], Zheng, S.[Shaowu], Xie, P.C.[Peng-Cheng], Li, W.H.[Wei-Hua],
Depth-Guided Aggregation for Real-Time Binocular Depth Estimation Network,
MultMedMag(31), No. 2, April 2024, pp. 36-47.
IEEE DOI 2408
Costs, Estimation, Feature extraction, Convolution, Real-time systems, Data mining, Cameras BibRef

Bao, J.Y.[Jing-Yao], Yu, H.F.[Hong-Fei], Zou, Y.J.[Yong-Jia], Lv, J.[Jin], Liu, W.[Wei], Cao, Y.[Yang],
Self-supervised binocular depth estimation algorithm with self-rectification for autonomous driving,
IET-ITS(18), No. 8, 2024, pp. 1445-1458.
DOI Link 2408
automated driving and intelligent vehicles, autonomous driving, perception BibRef

Ma, C.[Chihao], Zeng, P.C.[Peng-Cheng], Zhai, J.[Jucai], Liu, Y.[Yang], Zhao, Y.[Yong], Wang, X.[Xinan],
CLIP4Stereo: Revisiting Domain Generalized Stereo Matching via Clip,
ICIP23(106-110)
IEEE DOI 2312
BibRef

Wang, J.L.[Jia-Liang], Scharstein, D.[Daniel], Bapat, A.[Akash], Blackburn-Matzen, K.[Kevin], Yu, M.[Matthew], Lehman, J.[Jonathan], Alsisan, S.[Suhib], Wang, Y.[Yanghan], Tsai, S.[Sam], Frahm, J.M.[Jan-Michael], He, Z.J.[Zi-Jian], Vajda, P.[Peter], Cohen, M.F.[Michael F.], Uyttendaele, M.T.[Matt T.],
A Practical Stereo Depth System for Smart Glasses,
CVPR23(21498-21507)
IEEE DOI 2309
BibRef

Wang, W.Q.[Wei-Qi], Ye, S.Q.[Shui-Qiang], Wang, X.[Xinan], Zhao, Y.[Yong],
OMNET: Real-Time Stereo Matching with Unsupervised Occlusion Mask,
ICIP22(1241-1245)
IEEE DOI 2211
Matched filters, Image resolution, Costs, Navigation, Error analysis, Information filters, Real-time systems, Stereo matching, real-time BibRef

Berger, Z.[Zachary], Agrawal, P.[Parth], Liu, T.Y.[Tian Yu], Soatto, S.[Stefano], Wong, A.[Alex],
Stereoscopic Universal Perturbations across Different Architectures and Datasets,
CVPR22(15159-15169)
IEEE DOI 2210
Geometry, Perturbation methods, Stereo image processing, Estimation, Robustness, 3D from multi-view and sensors BibRef

Zhang, C.H.[Cheng-Hao], Tian, K.[Kun], Fan, B.[Bin], Meng, G.F.[Gao-Feng], Zhang, Z.X.[Zhao-Xiang], Pan, C.H.[Chun-Hong],
Continual Stereo Matching of Continuous Driving Scenes with Growing Architecture,
CVPR22(18879-18888)
IEEE DOI 2210
Degradation, Adaptation models, Predictive models, Task analysis, Pattern matching, Navigation and autonomous driving BibRef

Moolchandani, D.[Diksha], Shrivastava, N.[Nivedita], Kumar, A.[Anshul], Sarangi, S.R.[Smruti R.],
PredStereo: An Accurate Real-time Stereo Vision System,
WACV22(4078-4087)
IEEE DOI 2202
Estimation error, Heuristic algorithms, Switches, Prediction algorithms, Vision for Aerial/Drone/Underwater/Ground Vehicles BibRef

Andres, M.A.[Montoya A.], Pari, L.[Lizardo], Elvis, S.C.[Supo C.],
Design of a User Interface to Estimate Distance of Moving Explosive Devices with Stereo Cameras,
ICIVC21(362-366)
IEEE DOI 2112
Target tracking, Robot vision systems, Estimation, User interfaces, Cameras, Explosives, Real-time systems, stereo vision, user interface (UI) BibRef

Tankovich, V.[Vladimir], Häne, C.[Christian], Zhang, Y.[Yinda], Kowdle, A.[Adarsh], Fanello, S.[Sean], Bouaziz, S.[Sofien],
HITNet: Hierarchical Iterative Tile Refinement Network for Real-time Stereo Matching,
CVPR21(14357-14367)
IEEE DOI 2111
Measurement, Neural networks, Training data, Benchmark testing, Writing BibRef

Meuleman, A.[Andreas], Jang, H.[Hyeonjoong], Jeon, D.S.[Daniel S.], Kim, M.H.[Min H.],
Real-Time Sphere Sweeping Stereo from Multiview Fisheye Images,
CVPR21(11418-11427)
IEEE DOI 2111
Optical filters, Image resolution, Filtering, Prototypes, Cameras, Optical imaging, Real-time systems BibRef

Nuanes, T.[Tyler], Elsey, M.[Matt], Sankaranarayanan, A.[Aswin], Shen, J.[John],
Soft Cross Entropy Loss and Bottleneck Tri-Cost Volume For Efficient Stereo Depth Prediction,
WAD21(2840-2848)
IEEE DOI 2109
Training, Runtime, Laser radar, Prediction algorithms, Encoding, Entropy, Real-time systems BibRef

Sotiropoulos, D.O.G., Economou, G.P.K.,
Porting A Convolutional Neural Network For Stereo Vision In Hardware,
ICPR21(1313-1320)
IEEE DOI 2105
Temperature measurement, Training, Hardware, Real-time systems, System-on-chip, Acceleration, Convolutional neural networks BibRef

Chang, J.R.[Jia-Ren], Chang, P.C.[Pei-Chun], Chen, Y.S.[Yong-Sheng],
Attention-aware Feature Aggregation for Real-time Stereo Matching on Edge Devices,
ACCV20(I:365-380).
Springer DOI 2103
BibRef

Wang, Y., Peng, M., Liu, Z., Wan, W., Di, K., Hu, C., Liu, L., Lv, T., Yang, C.,
Binocular Visual Environment Perception Technology for Unmanned Surface Vehicle,
ISPRS20(B2:1297-1302).
DOI Link 2012
BibRef

Badki, A., Troccoli, A., Kim, K., Kautz, J., Sen, P., Gallo, O.,
Bi3D: Stereo Depth Estimation via Binary Classifications,
CVPR20(1597-1605)
IEEE DOI 2008
Not true depth, but closer or farther then D. Quantization (signal), Estimation, Task analysis, Cameras, Neural networks, Computer architecture BibRef

Perera, R.[Ruveen], Low, T.[Tobias],
Automatic Stereo Disparity Search Range Detection on Parallel Computing Architectures,
ICIAR20(I:404-416).
Springer DOI 2007
BibRef

Yee, K., Chakrabarti, A.,
Fast Deep Stereo with 2D Convolutional Processing of Cost Signatures,
WACV20(183-191)
IEEE DOI 2006
Convolution, Estimation, Pipelines, Real-time systems BibRef

Tonioni, A.[Alessio], Tosi, F.[Fabio], Poggi, M.[Matteo], Mattoccia, S.[Stefano], di Stefano, L.[Luigi],
Real-Time Self-Adaptive Deep Stereo,
CVPR19(195-204).
IEEE DOI 2002
BibRef

Pomaska, G.,
Stereo Vision Applying Opencv and Raspberry Pi,
LC3D19(265-269).
DOI Link 1912
BibRef

Lee, H., Shin, Y.,
Real-Time Stereo Matching Network with High Accuracy,
ICIP19(4280-4284)
IEEE DOI 1910
Deep Learning, Stereo Matching, Depth Estimation, Real-time BibRef

Paul, M.K., Roumeliotis, S.I.,
Alternating-Stereo VINS: Observability Analysis and Performance Evaluation,
CVPR18(4729-4737)
IEEE DOI 1812
Cameras, Visualization, Interpolation, Cloning, Jacobian matrices, Noise measurement, Observability BibRef

Cigla, C., Thakker, R., Matthies, L.H.,
Onboard Stereo Vision for Drone Pursuit or Sense and Avoid,
ECVW18(738-7388)
IEEE DOI 1812
Radar tracking, Target tracking, Drones, Cameras, Observers BibRef

Zhong, Y.[Yiran], Li, H.D.[Hong-Dong], Dai, Y.C.[Yu-Chao],
Open-World Stereo Video Matching with Deep RNN,
ECCV18(II: 104-119).
Springer DOI 1810
BibRef

Kallwies, J., Wuensche, H.J.,
Effective Combination of Vertical and Horizontal Stereo Vision,
WACV18(1992-2000)
IEEE DOI 1806
cameras, stereo image processing, actually measured matching cost function, BibRef

Fanello, S.R., Valentin, J., Rhemann, C., Kowdle, A., Tankovich, V., Davidson, P., Izadi, S.,
UltraStereo: Efficient Learning-Based Matching for Active Stereo Systems,
CVPR17(6535-6544)
IEEE DOI 1711
Cameras, Correlation, Interference, Pattern matching, Sensors BibRef

Menant, J., Gautier, G., Nezan, J.F., Pressigout, M., Morin, L.,
A comparison of cost construction methods onto a C6678 platform for stereo matching,
DASIP16(208-214)
IEEE DOI 1704
digital signal processing chips BibRef

Gee, T., Delmas, P., Joly, S., Baron, V., Ababou, R., Nezan, J.F.,
A dedicated lightweight binocular stereo system for real-time depth-map generation,
DASIP16(215-221)
IEEE DOI 1704
Android (operating system) BibRef

Hofmann, J., Korinth, J., Koch, A.,
A Scalable High-Performance Hardware Architecture for Real-Time Stereo Vision by Semi-Global Matching,
ECVW16(845-853)
IEEE DOI 1612
BibRef

Masmoudi, M.B.M.[Mohamed B. M.], Jerad, C.[Chadlia], Attia, R.[Rabah],
On-the-Fly Architecture Design and Implementation of a Real-Time Stereovision System,
ACIVS16(711-722).
Springer DOI 1611
BibRef

Liu, Y.C.[Yong-Chun], Gong, H.J.[Hua-Jun], Zhang, Z.X.[Zhao-Xing],
Real-Time 3-D Surface Reconstruction from Multiple Cameras,
ISVC15(II: 93-101).
Springer DOI 1601
BibRef

Cigla, C.[Cevahir],
Recursive edge-aware filters for stereo matching,
ECVW15(27-34)
IEEE DOI 1510
Accuracy BibRef

Domanski, M., Konieczny, J., Kurc, M., Luczak, A., Siast, J., Stankiewicz, O., Wegner, K.,
Fast depth estimation on mobile platforms and FPGA devices,
3DTV-CON15(1-4)
IEEE DOI 1508
Estimation BibRef

Wegner, K.[Krzysztof], Stankiewicz, O.[Olgierd],
Similarity measures for depth estimation,
3DTV09(1-4).
IEEE DOI 0905
BibRef

Repola, L., Memmolo, R., Signoretti, D.,
Instruments and Methodologies for the Underwater Tridimensional Digitization and Data Musealization,
Underwater15(183-190).
DOI Link 1508
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Dumont, M.[Maarten], Goorts, P.[Patrik], Maesen, S.[Steven], Degraen, D.[Donald], Bekaert, P.[Philippe], Lafruit, G.[Gauthier],
Iterative refinement for real-time local stereo matching,
IC3D14(1-8)
IEEE DOI 1503
Estimation BibRef

Yu, C.C.[Chun-Chang], Cheng, C.H.[Chia-Hao], Lin, P.C.[Pei-Chun], Chen, C.C.P.[Charlie Chung-Ping],
Cost-efficient hardware implementation of stereo image depth optimization system,
IC3D14(1-6)
IEEE DOI 1503
Equations BibRef

Zheng, S.Y., Gui, L., Wang, X.N., Ma, D.,
A real-time photogrammetry system based on embedded architecture,
CloseRange14(633-638).
DOI Link 1411
BibRef

Chang, J.[Jiho], Jeong, J.C.[Jae-Chan], Hwang, D.H.[Dae-Hwan],
Real-time Hybrid Stereo Vision System for HD Resolution Disparity Map,
BMVC14(xx-yy).
HTML Version. 1410
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Puglia, L.[Luca], Vigliar, M.[Mario], Raiconi, G.[Giancarlo],
SASCr3: A Real Time Hardware Coprocessor for Stereo Correspondence,
ICIAR14(II: 383-391).
Springer DOI 1410
BibRef

Schumacher, F.[Frank], Greiner, T.[Thomas],
Two stage Real-Time stereo correspondence algorithm and FPGA architecture using a modified Generalized Hough transform,
WSSIP14(27-30) 1406
BibRef

Kogler, J.[Juergen], Eibensteiner, F.[Florian], Humenberger, M.[Martin], Gelautz, M.[Margrit], Scharinger, J.[Josef],
Ground Truth Evaluation for Event-Based Silicon Retina Stereo Data,
ECVW13(649-656)
IEEE DOI 1309
3D Sensor; Ground Truth; Homography; Silicon Retina; Stereo Vision BibRef

Peris, M.[Martin], Martull, S.[Sara], Maki, A.[Atsuto], Ohkawa, Y.[Yasuhiro], Fukui, K.[Kazuhiro],
Towards a simulation driven stereo vision system,
ICPR12(1038-1042).
WWW Link. 1302
BibRef

Wallenberg, M.[Marcus], Forssén, P.E.[Per-Erik],
Teaching Stereo Perception to YOUR Robot,
BMVC12(29).
DOI Link 1301
BibRef

Amini, A.S., Varshosaz, M., Saadatseresht, M.,
Applying CCD Cameras in Stereo Panorama Systems for 3D Environment Reconstruction,
ISPRS12(XXXIX-B5:257-260).
DOI Link 1209
BibRef

Liu, F., Chen, T., Lin, Z., Yang, Y.,
Method For Stereo Mapping Based On Objectarx And Pipeline Technology,
ISPRS12(XXXIX-B1:425-428).
DOI Link 1209
BibRef

Kazik, T.[Tim], Kneip, L.[Laurent], Nikolic, J.[Janosch], Pollefeys, M.[Marc], Siegwart, R.[Roland],
Real-time 6D stereo Visual Odometry with non-overlapping fields of view,
CVPR12(1529-1536).
IEEE DOI 1208
BibRef

Gudis, E.[Eduardo], van der Wal, G.[Gooitzen], Kuthirummal, S.[Sujit], Chai, S.[Sek], Samarasekera, S.[Supun], Kumar, R.[Rakesh], Branzoi, V.[Vlad],
Stereo Vision embedded system for Augmented Reality,
ECVW12(15-20).
IEEE DOI 1207
BibRef

Woodward, A., Berry, D., Dunning, J.,
Real-time stereo vision on the VisionServer Framework for robot guidance,
IVCNZ10(1-8).
IEEE DOI 1203
BibRef

Sutton, D., Green, R.,
Evaluation of real time stereo vision system using web cameras,
IVCNZ10(1-10).
IEEE DOI 1203
BibRef

Pettigrew, L., Green, R.,
Depth correction: Methods for approximating depth information in web camera depth maps,
IVCNZ10(1-7).
IEEE DOI 1203
BibRef

van den Bergh, M.[Michael], Van Gool, L.J.[Luc J.],
Real-time stereo and flow-based video segmentation with superpixels,
WACV12(89-96).
IEEE DOI 1203
BibRef

Dobias, M.[Martin], Sara, R.[Radim],
Real-time global prediction for temporally stable stereo,
Dense11(704-707).
IEEE DOI 1201
BibRef

Chiu, W.C.[Wei-Chen], Blanke, U.[Ulf], Fritz, M.[Mario],
Improving the Kinect by Cross-Modal Stereo,
BMVC11(xx-yy).
HTML Version. 1110
BibRef

Kim, C.I.[Chang-Il], Park, S.Y.[Soon-Yong],
Fast Stereo Matching of Feature Links,
3DIMPVT11(268-274).
IEEE DOI 1109
BibRef

Kogler, J.[Jurgen], Humenberger, M.[Martin], Sulzbachner, C.[Christoph],
Event-Based Stereo Matching Approaches for Frameless Address Event Stereo Data,
ISVC11(I: 674-685).
Springer DOI 1109
BibRef

Sulzbachner, C.[Christoph], Zinner, C.[Christian], Kogler, J.[Jurgen],
An optimized Silicon Retina stereo matching algorithm using time-space correlation,
ECVW11(1-7).
IEEE DOI 1106
BibRef

Weigel, C.[Christian], Treutner, N.[Niklas],
Flexible openCL accelerated disparity estimation for video communication applications,
3DTV11(1-4).
IEEE DOI 1105
BibRef

Pelissier, F.[Frantz], Berry, F.[François],
Design of a Real-Time Embedded Stereo Smart Camera,
ACIVS10(I: 344-356).
Springer DOI 1012
BibRef

Sekiguchi, N.[Naoki], Fukushi, M.[Masaru], Abe, T.[Toru], Kinoshita, T.[Tetsuo],
A parallelization method for multi-stereo 3D shape reconstruction,
ICIP10(4493-4496).
IEEE DOI 1009
BibRef

Ozbek, N.[Nukhet], Tekalp, A.M.[A. Murat],
Viterbi-like joint optimization of stereo extraction for on-line rate adaptation in scalable multiview video coding,
ICIP10(2609-2612).
IEEE DOI 1009
BibRef

Mattoccia, S.[Stefano],
Improving the accuracy of fast dense stereo correspondence algorithms by enforcing local consistency of disparity fields,
3DPVT10(xx-yy).
WWW Link. 1005
BibRef

Matsui, Y.[Yoshinori], Takumi, M.[Munenori], Toyoda, H.[Haruyoshi], Mukozaka, N.[Naohisa], Ihori, A.[Atsushi], Sugiyama, Y.[Yukinobu], Mizuno, S.[Seiichiro],
A 3.2 kHz, Stereo Sensing Module Using Two Profile Sensors,
MVA09(102-).
PDF File. 0905
BibRef

Nguyen, M.[Minh], Gimel'farb, G.L.[Georgy L.], Delmas, P.[Patrice],
Stereo Vision: A Java-Based Online Platform,
MVA09(483-).
PDF File. 0905
BibRef
Earlier:
Web-based on-line computational stereo vision,
IVCNZ08(1-6).
IEEE DOI 0811
BibRef

Richardt, C.[Christian], Orr, D.[Douglas], Davies, I.[Ian], Criminisi, A.[Antonio], Dodgson, N.A.[Neil A.],
Real-Time Spatiotemporal Stereo Matching Using the Dual-Cross-Bilateral Grid,
ECCV10(III: 510-523).
Springer DOI 0109
Real time implementation of a reformulated version of Yoon and Kweon's adaptive support weights algorithm.
See also Distinctive Similarity Measure for stereo matching under point ambiguity. BibRef

Shin, D., Muller, J.P.,
An Explicit Growth Model Of The Stereo Region Growing Algorithm For Parallel Processing,
CloseRange10(xx-yy).
PDF File. 1006
BibRef

Grießbach, D., Börner, A., Ernst, I., Zuev, S.,
Real-time Dense Stereo Mapping For Multi-sensor Navigation,
CloseRange10(xx-yy).
PDF File. 1006
BibRef

Humenberger, M.[Martin], Engelke, T.[Tobias], Kubinger, W.[Wilfried],
A census-based stereo vision algorithm using modified Semi-Global Matching and plane fitting to improve matching quality,
ECVW10(77-84).
IEEE DOI 1006
BibRef

Weber, M.[Michael], Humenberger, M.[Martin], Kubinger, W.[Wilfried],
A very fast census-based stereo matching implementation on a graphics processing unit,
EmbedCV09(786-793).
IEEE DOI 0910
BibRef

Morris, J., Jawed, K., Gimel'farb, G.L., Khan, T.,
Breaking the 'Ton': Achieving 1% depth accuracy from stereo in real time,
IVCNZ09(142-147).
IEEE DOI 0911
BibRef

Grauer-Gray, S.[Scott], Kambhamettu, C.[Chandra],
Hierarchical belief propagation to reduce search space using CUDA for stereo and motion estimation,
WACV09(1-8).
IEEE DOI 0912
Nvidia CUDA. BibRef

Kosov, S.[Sergey], Thormählen, T.[Thorsten], Seidel, H.P.[Hans-Peter],
Using Active Illumination for Accurate Variational Space-Time Stereo,
SCIA11(752-763).
Springer DOI 1105
BibRef
Earlier:
Accurate Real-Time Disparity Estimation with Variational Methods,
ISVC09(I: 796-807).
Springer DOI 0911
BibRef

Wu, J.[Jia], Zhou, Y.[Ying], Yu, H.M.[Hui-Min], Zhang, Z.Y.[Zheng-You],
Improved 3D Depth Image Estimation Algorithm for Visual Camera,
CISP09(1-4).
IEEE DOI 0910
BibRef

Wei, P.Y.[Pei-Yu], Li, T.Z.[Tian-Ze], Jiang, C.[Chuan], Wen, F.[Fang],
Application of Image Sensor in the Three-Dimensional Surface Measurement,
CISP09(1-5).
IEEE DOI 0910
BibRef

Wang, Z.L.[Zhong-Li], Gao, X.S.[Xue-Shan], Zhang, B.C.[Bao-Chang], Wu, H.[Hao],
Motion Estimation for a Mobile Robot Based on Real-Time Stereo Vision System,
CISP09(1-5).
IEEE DOI 0910
BibRef

Unger, C.[Christian], Ilic, S.[Slobodan],
A Stochastic Cost Function for Stereo Vision,
BMVC14(xx-yy).
HTML Version. 1410
BibRef

Unger, C.[Christian], Wahl, E.[Eric], Ilic, S.[Slobodan],
Efficient Stereo and Optical Flow with Robust Similarity Measures,
DAGM11(246-255).
Springer DOI 1109
BibRef

Unger, C.[Christian], Benhimane, S.[Selim], Wahl, E.[Eric], Navab, N.[Nassir],
Efficient Disparity Computation without Maximum Disparity for Real-time Stereo Vision,
BMVC09(xx-yy).
PDF File. 0909
BibRef

Morris, J.[John], Jawed, K.[Khurram], Gimel'farb, G.L.[Georgy L.],
Intelligent Vision: A First Step - Real Time Stereovision,
ACIVS09(355-366).
Springer DOI 0909
BibRef

Kogler, J.[Jürgen], Sulzbachner, C.[Christoph], Kubinger, W.[Wilfried],
Bio-inspired Stereo Vision System with Silicon Retina Imagers,
CVS09(174-183).
Springer DOI 0910
BibRef

Gehrig, S.K.[Stefan K.], Rabe, C.[Clemens],
Real-time Semi-Global Matching on the CPU,
ECVW10(85-92).
IEEE DOI 1006
BibRef

Gehrig, S.K.[Stefan K.], Stalder, R.[Reto], Schneider, N.[Nicolai],
A Flexible High-Resolution Real-Time Low-Power Stereo Vision Engine,
CVS15(69-79).
Springer DOI 1507
BibRef

Gehrig, S.K.[Stefan K.], Eberli, F.[Felix], Meyer, T.[Thomas],
A Real-Time Low-Power Stereo Vision Engine Using Semi-Global Matching,
CVS09(134-143).
Springer DOI 0910
BibRef

Byczkowski, T.[Tomasz], Lang, J.[Jochen],
A Stereo-Based System with Inertial Navigation for Outdoor 3D Scanning,
CRV09(221-228).
IEEE DOI 0905
BibRef

Kumar, S.[Sanjeev], Rani, A.[Asha], Micheloni, C.[Christian], Foresti, G.L.[Gian Luca],
Supervised Learning Based Stereo Matching Using Neural Tree,
CIAP11(II: 178-188).
Springer DOI 1109
BibRef

Kumar, S.[Sanjeev], Micheloni, C.[Christian], Piciarelli, C.[Claudio], Foresti, G.L.,
Stereo Localization Based on Network's Uncalibrated Camera Pairs,
AVSBS09(502-507).
IEEE DOI 0909
BibRef

Kumar, S.[Sanjeev], Micheloni, C.[Christian], Piciarelli, C.[Claudio],
Stereo Localization Using Dual PTZ Cameras,
CAIP09(1061-1069).
Springer DOI 0909
Approximate location from single wide FoV camera, get precise location with stereo. BibRef

Effendi, S., Jarvis, R., Suter, D.,
Fast stereo with background removal using phase correlation,
IVCNZ08(1-6).
IEEE DOI 0811
BibRef

Hermann, S.[Simon], Börner, A.[Anko], Klette, R.[Reinhard],
Mid-level Segmentation and Segment Tracking for Long-Range Stereo Analysis,
PSIVT11(I: 224-235).
Springer DOI 1111
BibRef

Hermann, S.[Simon], Morales, S.[Sandino], Vaudrey, T.[Tobi], Klette, R.[Reinhard],
Illumination Invariant Cost Functions in Semi-Global Matching,
CVVT10(245-254).
Springer DOI 1109
BibRef

Haeusler, R., Morales, S.[Sandino], Hermann, S.[Simon], Klette, R.[Reinhard],
Towards benchmarking of real-world stereo data,
IVCNZ10(1-6).
IEEE DOI 1203
BibRef

Hermann, S.[Simon], Klette, R.[Reinhard],
Hierarchical Scan-Line Dynamic Programming for Optical Flow Using Semi-Global Matching,
IWMV12(II:556-567).
Springer DOI 1304
BibRef

Hermann, S.[Simon], Klette, R.[Reinhard],
Evaluation of a New Coarse-to-Fine Strategy for Fast Semi-Global Stereo Matching,
PSIVT11(I: 395-406).
Springer DOI 1111

See also Iterative Semi-Global Matching for Robust Driver Assistance Systems. BibRef

Hermann, S.[Simon], Klette, R.[Reinhard], Destefanis, E.[Eduardo],
Inclusion of a Second-Order Prior into Semi-Global Matching,
PSIVT09(633-644).
Springer DOI 0901
Stereo for real-time vision. BibRef

Yang, Q., Engels, C., Akbarzadeh, A.,
Near Real-time Stereo for Weakly-Textured Scenes,
BMVC08(xx-yy).
PDF File. 0809
BibRef

Gao, X.T.[Xin-Ting], Kleihorst, R.P.[Richard P.], Meijer, P.[Peter], Schueler, B.[Ben],
Self-rectification and depth estimation of stereo video in a real-time smart camera system,
ICDSC08(1-8).
IEEE DOI 0809
BibRef
And: A1, A2, A4, Only:
Implementation of auto-rectification and depth estimation of stereo video in a real-time smart camera system,
EmbedCV08(1-7).
IEEE DOI 0806
BibRef

Khaleghi, B.[Bahador], Ahuja, S.[Siddhant], Wu, Q.M.J.[Q.M. Jonathan],
A New Miniaturized Embedded Stereo-Vision System (MESVS-I),
CRV08(26-33).
IEEE DOI 0805
BibRef
And:
An improved real-time miniaturized embedded stereo vision system (MESVS-II),
EmbedCV08(1-8).
IEEE DOI 0806
BibRef

Zhang, Y.L.[Yi-Lei], Gong, M.L.[Ming-Lun], Yang, Y.H.[Yee-Hong],
Real-time Multi-view Stereo Algorithm using Adaptive-weight Parzen Window and Local Winner-take-all Optimization,
CRV08(113-120).
IEEE DOI 0805
BibRef

Bartczak, B.[Bogumil], Jung, D.[Daniel], Koch, R.[Reinhard],
Real-Time Neighborhood Based Disparity Estimation Incorporating Temporal Evidence,
DAGM08(xx-yy).
Springer DOI 0806
BibRef

Park, Y.S.[Young-Soo], Hur, N.H.[Nam-Ho],
A Fast Computation Algorithm of Binocular Energy Model,
3DTV08(401-404).
IEEE DOI 0805

See also Depth Image Based Rendering for 3D Data Service Over T-DMB. BibRef

Akeila, H.[Hani], Morris, J.[John],
High Resolution Stereo in Real Time,
RobVis08(72-84).
Springer DOI 0802
BibRef

Deselaers, T., Criminisi, A., Winn, J., Agarwal, A.,
Incorporating On-demand Stereo for Real Time Recognition,
CVPR07(1-8).
IEEE DOI 0706
BibRef

Gallup, D.[David], Frahm, J.M.[Jan-Michael], Mordohai, P.[Philippos], Pollefeys, M.[Marc],
Variable baseline/resolution stereo,
CVPR08(1-8).
IEEE DOI 0806
BibRef

Hane, C.[Christian], Heng, L.[Lionel], Lee, G.H.[Gim Hee], Sizov, A.[Alexey], Pollefeys, M.[Marc],
Real-Time Direct Dense Matching on Fisheye Images Using Plane-Sweeping Stereo,
3DV14(57-64)
IEEE DOI 1503
Adaptation models BibRef

Gallup, D.[David], Frahm, J.M.[Jan-Michael], Mordohai, P.[Philippos], Yang, Q.X.[Qing-Xiong], Pollefeys, M.[Marc],
Real-Time Plane-Sweeping Stereo with Multiple Sweeping Directions,
CVPR07(1-8).
IEEE DOI 0706
BibRef

Guan, W.G.[Wei-Guang], Monger, P.[Patricia],
Real-Time Detection of Out-of-Plane Objects in Stereo Vision,
ISVC06(I: 102-111).
Springer DOI 0611
BibRef

Park, S.C.[Sung-Chan], Jeong, H.[Hong],
A High-Speed Parallel Architecture for Stereo Matching,
ISVC06(I: 334-342).
Springer DOI 0611
BibRef

Yano, T.[Takahiro], Shimizu, M.[Masao], Okutomi, M.[Masatoshi],
Image restoration and disparity estimation from an uncalibrated multi-layered image,
CVPR10(247-254).
IEEE DOI 1006
BibRef

Shimizu, M.[Masao], Okutomi, M.[Masatoshi],
Calibration and rectification for reflection stereo,
CVPR08(1-8).
IEEE DOI 0806
BibRef
Earlier:
Reflection Stereo: Novel Monocular Stereo using a Transparent Plate,
CRV06(14-14).
IEEE DOI 0607
BibRef

Se, S., Jasiobedzki, P.,
Instant Scene Modeler for Crime Scene Reconstruction,
SafeSecur05(III: 123-123).
IEEE DOI 0507
BibRef

Cheng, J.C.[Jia-Ching], Feng, S.J.[Shin-Jang],
A Real-Time Multiresolutional Stereo Matching Algorithm,
ICIP05(III: 373-376).
IEEE DOI 0512
BibRef

Petit, B.[Benjamin], Lesage, J.D.[Jean-Denis], Boyer, E.[Edmond], Franco, J.S.[Jean-Sebastien], Raffin, B.[Bruno],
Remote and collaborative 3D interactions,
3DTV09(1-4).
IEEE DOI 0905
BibRef

Franco, J.S.[Jean-Sebastien], Menier, C.[Clement], Boyer, E.[Edmond], Raffin, B.[Bruno],
A Distributed Approach for Real Time 3D Modeling,
Sensor3D04(31).
IEEE DOI 0406
BibRef

Woodfill, J.I.[John Iselin], Gordon, G.G.[Gaile G.], Jurasek, D.[Dave], Brown, T.[Terrance], Buck, R.[Ron],
The Tyzx DeepSea G2 Vision System, ATaskable, Embedded Stereo Camera,
EmbedCV06(126).
IEEE DOI 0609
BibRef

Woodfill, J.I.[John Iselin], Gordon, G.G.[Gaile G.], Buck, R.[Ron],
Tyzx DeepSea High Speed Stereo Vision System,
Sensor3D04(41).
IEEE DOI 0406
BibRef

Zhao, T.[Tao], Aggarwal, M.[Manoj], Kumar, R.[Rakesh], Sawhney, H.S.[Harpreet S.],
Real-Time Wide Area Multi-Camera Stereo Tracking,
CVPR05(I: 976-983).
IEEE DOI 0507
BibRef

Cheng, Y.[Yang], Johnson, A.[Andrew], and Matthies, L.H.[Larry H.],
MER-DIMES: A Planetary Landing Application of Computer Vision,
CVPR05(I: 806-813).
IEEE DOI 0507
BibRef

Ansar, A., Castano, A., Matthies, L.H.,
Enhanced real-time stereo using bilateral filtering,
3DPVT04(455-462).
IEEE DOI 0412
BibRef

Brockers, R.[Roland],
Cooperative Stereo Matching with Color-Based Adaptive Local Support,
CAIP09(1019-1027).
Springer DOI 0909
BibRef

Brockers, R.[Roland], Hund, M.[Marcus], Mertsching, B.[Bärbel],
Stereo Matching with Occlusion Detection Using Cost Relaxation,
ICIP05(III: 389-392).
IEEE DOI 0512
BibRef
Earlier:
Fast stereo vision for mobile robots by global minima of cost functions,
Southwest04(85-89).
IEEE DOI 0411
BibRef
And:
A Fast Cost Relaxation Stereo Algorithm with Occlusion Detection for Mobile Robot Applications,
VMV04(47-53). 0411
BibRef

Thorsley, M., Okouneva, G., Karpynczyk, J.,
Stereo vision algorithm for robotic assembly operations,
CRV04(361-366).
IEEE DOI 0408
BibRef

Bromley, S.P., Zelek, J.S., Dony, R.D.,
Commodity real-time stereo vision for navigation,
CRV04(424-431).
IEEE DOI 0408
BibRef

Jia, Y.D.[Yun-De], Zhang, X.X.[Xiao-Xun], Li, M.X.[Ming-Xiang], An, L.P.[Lu-Ping],
A miniature stereo vision machine (MSVM-III) for dense disparity mapping,
ICPR04(I: 728-731).
IEEE DOI 0409
BibRef

Jia, Y.D.[Yun-De], Xu, Y.H.[Yi-Hua], Liu, W.C.[Wan-Chun], Yang, C.[Cong], Zhu, Y.W.[Yu-Wen], Zhang, X.X.[Xiao-Xun], An, L.P.[Lu-Ping],
A Miniature Stereo Vision Machine for Real-Time Dense Depth Mapping,
CVS03(268 ff).
Springer DOI 0306
BibRef

Rodriguez-Miguel, F.J.,
Three-dimensional Scanner Based on Stereovision Techniques,
ICIP01(III: 907-910).
IEEE DOI 0108
BibRef

Nebel, J.C., Rodriguez-Miguel, F.J., Cockshott, W.P.,
Stroboscopic stereo rangefinder,
3DIM01(59-64).
IEEE DOI 0106
BibRef

Mengel, P., Doemens, G., Listl, L.,
Fast Range Imaging by CMOS Sensor Array Through Multiple Double Short Time Integration (MDSI),
ICIP01(II: 169-172).
IEEE DOI 0108
BibRef

Ramsgaard, B.K., Balslev, I., Arnspang, J.,
Mirror-based Trinocular Systems in Robot-vision,
ICPR00(Vol IV: 499-502).
IEEE DOI 0009
BibRef

Kimura, S.[Shigeru], Shinbo, T.[Tetsuya], Yamaguchi, H.[Hiroyoshi], Kawamura, E.[Eiji], Naka, K.[Katsuyuki],
A Convolver-Based Real-Time Stereo Machine (SAZAN),
CVPR99(I: 457-463).
IEEE Abstract.
IEEE DOI BibRef 9900

Lee, D.H., Kweon, I.S., Cipolla, P.,
Single Lens Stereo with a Biprism,
MVA98(xx-yy). BibRef 9800

Miyazaki, N., Shiohara, M., Itoh, T., Fukuyama, S.,
Offset Vertical Stereo System for Real-time Range-finding to Preceding Vehicles,
MVA98(xx-yy). BibRef 9800

Kawasue, K.[Kikuhito], Shiku, O.[Osamu], Ishimatsu, T.[Takakazu],
Range Finder Using Circular Dynamic Stereo,
ICPR98(Vol I: 774-776).
IEEE DOI 9808
BibRef

Henkel, R.D.,
Fast Stereovision with Subpixel-Precision,
ICCV98(1024-1028).
IEEE DOI BibRef 9800

Henkel, R.D.,
Locking onto 3D-structure by a combined vergence- and fusion system,
3DIM99(70-76).
IEEE DOI 9910
BibRef

Henkel, R.D.,
Fast stereovision by coherence detection,
CAIP97(297-304).
Springer DOI 9709
BibRef
And:
A Fast Parallel Algorithm for Stereovision,
CAMP97(Session 6). University of Bremen BibRef

Garcia, C.,
MATIS3D: An Adaptive Stereo Vision Machine,
SCIA97(xx-yy)
HTML Version. 9705
BibRef

Woodfill, J.I.[John I.], von Herzen, B.[Brian],
Real-time stereo vision on the PARTS reconfigurable computer,
ConferenceIEEE Symposium on Field-Programmable Custom Computing Machines, Napa, April 1997.
PDF File. BibRef 9704

Baker, H.H.[H. Harlyn], Bolles, R.C.[Robert C.], Woodfill, J.I.[John I.],
Realtime Stereo and Motion Integration for Navigation,
ARPA94(II:1295-1304). BibRef 9400

Reulke, R.[Ralf],
Recent Progress in Digital Photogrammetric Stereo Cameras and Data Evaluation,
WTRCV01(67). 0103
BibRef

Reulke, R.[Ralf],
Stereo processing of image data from the Air-Borne CCD-scanner WAAC,
CAIP97(653-660).
Springer DOI 9709
BibRef

Ross, B.,
A Practical Stereo Vision System,
CVPR93(148-153).
IEEE DOI Hardware for the Dante Robot. Uses 3 cameras (left, right and center). BibRef 9300

Kolesnik, M.I.,
Fast algorithm for the stereo pair matching with parallel computation,
CAIP93(533-537).
Springer DOI 9309
BibRef

Roman, G.C., Laine, A.F., Cox, K.C.,
Interactive Complexity Control and High-Speed Stereo Matching,
CVPR88(171-176).
IEEE DOI BibRef 8800

Chapter on Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular continues in
Stereo: Real Time Systems, Graphical Processing Units, GPU Implementations .