10.1.7 Stereo Systems: Multiple Resolutions, Hierarchical

Moravec, H.,
Rover Visual Obstacle Avoidance,
IJCAI81(785-790). BibRef 8100
Earlier:
Visual Mapping by Robot Rover,
IJCAI79(598-600). BibRef
And:
Towards Automatic Visual Obstacle Avoidance,
IJCAI77(584). Interest Operator, Moravec. There is no real published reference. These papers are important for two ideas, first using multiple resolution images to improve the speed in matching, and second using an interest operator to locate points to be used in the matching. The correlation based matcher is used to find the best match for each of the "interesting" points in one image. First the image is reduced and the resulting images are used. This gives an approximate location for the corresponding point in the second image. The next higher resolution images then are used to refine the match locations, but the search space for the exact match has been reduced to the area around the location at the lower resolution. Correlation based matching. See also Stanford Cart and the CME Rover, The. BibRef

Moravec, H.,
Obstacle Avoidance and Navigation in the Real World by a Seeing Robot Rover,
Ph.D.Thesis (CS), 1980. BibRef 8000 Stanford AIMemo 340 and BibRef STAN-CS-80-813. BibRef
And: CMU-RI-TR-3, 1980. The complete thesis. BibRef

Moravec, H.P.[Hans P.],
Robot Rover Visual Navigation,
UMI Research PressAnn Arbor, MI, 1981. The printed book from the thesis. BibRef 8100

Barnard, S.T.,
Stochastic Stereo Matching over Scale,
IJCV(3), No. 1. May 1989, pp. 17-32.
Springer DOI Link BibRef 8905 IJCV(3), No. 1. May 1989, pp. 17-32.
Springer DOI Link BibRef
Earlier: DARPA88(769-778), BibRef
Stereo Matching by Hierarchial, Microcanonical Annealing,
IJCAI87(832-835), BibRef DARPA87(792-797). BibRef
And:
A Stochastic Approach to Stereo Vision,
AAAI-86(676-680). BibRef
And: RCV87(21-25). Use the simulated annealing approach to fit a warped surface over different scales. BibRef

Barnard, S.T.,
Recent Progress in CYCLOPS: A System for Stereo Cartography,
DARPA90(449-455). Extensions of his earlier stereo work. BibRef 9000

Quam, L.H.,
Hierarchical Warp Stereo,
DARPA84(149-155) and BibRef 8400 RCV87(80-86). Generating the global matches based on a warping function to fill in the gaps between what can really be matched. BibRef

de Vleeschauwer, D.,
An Intensity-Based, Coarse-to-Fine Approach to Reliably Measure Binocular Disparity,
CVGIP(57), No. 2, March 1993, pp. 204-218.
WWW Version. Estimate the disparities, then eliminate the obvious bad points. BibRef 9303

Yang, Y.B.[Yi-Bing], Yuille, A.L.,
Multilevel Enhancement and Detection of Stereo Disparity Surfaces,
AI(78), No. 1-2, October 1995, pp. 121-145.
WWW Version. BibRef 9510

Yang, Y.B., Yuille, A., and Lu, J.,
Local, Global, and Multilevel Stereo Matching,
CVPR93(274-279).
IEEE Abstract. IEEE Top Reference. A distinction is made between multi-level and multi-resolution matching. BibRef 9300

Marapane, S.B., and Trivedi, M.M.,
Multi-Primitive Hierarchical (MPH) Stereo System,
PAMI(16), No. 3, March 1994, pp. 227-240.
IEEE Abstract. IEEE Top Reference.
WWW Version. BibRef 9403
Earlier: CVPR92(499-505).
IEEE Abstract. IEEE Top Reference. BibRef
And:
An Active Vision System for Multi-Primitive Hierarchical Stereo Analysis and Multi-Cue Depth Extraction,
SPIE(1956), Sensor Fusion Conference, Orlando, FL, April 1993. Does use some regions in a match and line segments then individual edgels for details. Generates disparity maps, not surfaces. BibRef

Marapane, S.B., and Trivedi, M.M.,
Region-Based Stereo Analysis for Robotic Applications,
SMC(19), No. 6, November/December 1989, pp. 1447-1464. Stereo using regions to generate coarse disparity maps. Graph matching using region features only. See also Vision System for Robotic Inspection and Manipulation, A. BibRef 8911

Marapane, S.B., and Trivedi, M.M.,
Region and Edge Segment Based Stereo Analysis,
SPIE(1571), International Symposium on Intelligent Robotics, Bangalore, India, January 1991, pp. 71-82. BibRef 9101
Earlier:
Edge Segment Based Stereo Analysis,
SPIE(1293), Applications of AI VIII, Orlando, FL, April 1990, pp. 140-151. BibRef

Marapane, S.B., and Trivedi, M.M.,
Extracting Depth by Binocular Stereo in a Robot Vision System,
SPIE(1012), Applications of Digital Image Processing XI, San Diego, CA, August 1988. BibRef 8808

Kim, D.H., Koo, K.B., Choi, W.Y., Park, R.H.,
Stereo Matching Using Hierarchical Features for Robotic Applications,
AdvRob(10), No. 1, 1996, pp. 1-14. BibRef 9600

Lacey, A.J., Thacker, N.A., Crossley, S., Yates, R.B.,
A Multistage Approach to the Dense Estimation of Disparity from Stereo SEM Images,
IVC(16), No. 5, April 27 1998, pp. 373-383.
WWW Version. 9805
BibRef
Earlier: A1, A2, A4, Only:
Surface Approximation from Industrial SEM Images,
BMVC96(Applications). 9608
University of Sheffield BibRef

Crossley, S., Lacey, A.J., Thacker, N.A., Seed, N.L.,
Robust Stereo via Temporal Consistency,
BMVC97(xx-yy).
HTML Version. 0209
BibRef

Crossley, S., Thacker, N.A., Seed, N.L.,
Benchmarking of Bootstrap Temporal Stereo using Statistical and Physical Scene Modelling,
BMVC98(xx-yy). BibRef 9800

Crossley, S., Seed, N.L., Thacker, N.A., Ivey, P.A.,
Improving accuracy, robustness and computational efficiency in 3D computer vision,
IVC(22), No. 5, 1 May 2004, pp. 399-412.
WWW Version. 0403
Extend stereo analysis with robust techniques. BibRef

Wang, Y., and Bhattacharya, P.,
Hierarchical Stereo Correspondence Using Features of Gray Connected Components,
MGV(8), No. 1, 1999, pp. 19-54. BibRef 9900
Earlier: ICIP97(III: 264-267).
IEEE DOI Link See also On Parameter-Dependent Connected Components of Gray Images. BibRef

Melen, R.D.[Roger D.],
Disparity measurement with variably sized interrogation regions,
US_Patent6,141,440, Oct 31, 2000
WWW Version. BibRef 0010
And:
Compensating pixel records of related images for detecting images disparity, apparatus and method,
US_Patent6,222,938, Apr 24, 2001
WWW Version. BibRef

van Meerbergen, G., Vergauwen, M., Pollefeys, M., Van Gool, L.J.,
A Hierarchical Symmetric Stereo Algorithm Using Dynamic Programming,
IJCV(47), No. 1-3, April-June 2002, pp. 275-285.
WWW Version. 0203
BibRef
Earlier:
A hierarchical stereo algorithm using dynamic programming,
SMBV01(xx-yy). 0110
BibRef

Neumann, J.[Jan], Aloimonos, Y.[Yiannis],
Spatio-Temporal Stereo Using Multi-Resolution Subdivision Surfaces,
IJCV(47), No. 1-3, April-June 2002, pp. 181-193.
WWW Version. 0203
BibRef

Neumann, J.[Jan], Aloimonos, Y.[Yiannis],
Multi-Modality Stereo with Varying Spatial, Temporal, and Spectral Resolution,
SMBV01(xx-yy). 0110
BibRef

Alvarez, L.[Luis], Deriche, R.[Rachid], Sánchez, J.[Javier], Weickert, J.[Joachim],
Dense Disparity Map Estimation Respecting Image Discontinuities: A PDE and Scale-Space Based Approach,
JVCIR(13), No. 1/2, March/June 2002, pp. 3-21.
WWW Version. 0204
BibRef
Earlier: INRIARR-3874, January 2000.
HTML Version.
Postscript Version.
PDF Version. 0105
See also Reliable Estimation of Dense Optical Flow Fields with Large Displacements. BibRef

Alvarez, L.[Luis], Deriche, R.[Rachid], Santana, F.[Francisco],
Recursivity and PDE's in Image Processing,
ICPR00(Vol I: 242-248).
IEEE DOI Link
HTML Version. 0009
BibRef

Yokoyama, A.[Atsushi], Miwa, Y.[Yoko],
Parallax calculating apparatus, distance calculating apparatus, methods of the same, and information providing media,
US_Patent6,519,358, Feb 11, 2003
WWW Version. BibRef 0302

Chan, W.L.[Wai Lam], Choi, H.H.[Hyeok-Ho], Baraniuk, R.G.,
Coherent Multiscale Image Processing Using Dual-Tree Quaternion Wavelets,
IP(17), No. 7, July 2008, pp. 1069-1082.
IEEE DOI Link 0806
BibRef
Earlier:
Multiscale Image Disparity Estimation using the Quaternion Wavelet Transform,
ICIP06(1229-1232). 0610

IEEE DOI Link BibRef

Min, D.B.[Dong-Bo], Sohn, K.H.[Kwang-Hoon],
Cost Aggregation and Occlusion Handling With WLS in Stereo Matching,
IP(17), No. 8, August 2008, pp. 1431-1442.
IEEE DOI Link 0808
BibRef

Yun, S.U.[Sang-Un], Min, D.B.[Dong-Bo], Sohn, K.H.[Kwang-Hoon],
3D Scene Reconstruction System with Hand-Held Stereo Cameras,
3DTV07(1-4).
IEEE DOI Link 0705
BibRef

Yoon, S.U.[Sang-Un], Min, D.B.[Dong-Bo], Sohn, K.H.[Kwang-Hoon],
Fast Dense Stereo Matching Using Adaptive Window in Hierarchical Framework,
ISVC06(II: 316-325).
Springer DOI Link 0611
Given initial disparity, find edges. Improve using these edges. BibRef

Laureano, G.T.[Gustavo Teodoro], de Paiva, M.S.V.[Maria Stela Veludo],
Disparities Maps Generation Employing Multi-resolution Analysis and Perceptual Grouping,
IPTA08(1-6).
IEEE DOI Link 0811
BibRef

Gu, Q.Q.[Quan-Quan], Zhou, J.[Jie],
A similarity measure under Log-Euclidean metric for stereo matching,
ICPR08(1-4).
IEEE DOI Link 0812
BibRef
And:
Belief propagation on Riemannian manifold for stereo matching,
ICIP08(1788-1791).
IEEE DOI Link 0810
BibRef

Huq, S.[Shafik], Koschan, A.F.[Andreas F.], Abidi, B.R.[Besma R.], Abidi, M.A.[Mongi A.],
Efficient BP stereo with automatic paramemeter estimation,
ICIP08(301-304).
IEEE DOI Link 0810
Belief propogation stereo. BibRef

Boughorbel, F.[Faysal],
A New Multiple-Windows Depth from Stereo Algorithm for 3D Displays,
3DTV07(1-4).
IEEE DOI Link 0705
BibRef

Shukla, N.K.[Narendra Kumar], Rathi, V.[Vivek], Chakka, V.[Vijaykumar],
An Efficient Adaptive Window Based Disparity Map Computation Algorithm by Dense Two Frame Stereo Correspondence,
ICCVGIP06(894-905).
Springer DOI Link 0612
BibRef

Kai, Z.[Zhang], Wang, Y.Z.[Yu-Zhou], Wang, G.P.[Guo-Ping],
Hierarchical Stereo Matching: From Foreground to Background,
ACIVS06(632-643).
Springer DOI Link 0609
BibRef

Nehab, D.[Diego], Rusinkiewicz, S.[Szymon], Davis, J.E.[James E.],
Improved Sub-pixel Stereo Correspondences through Symmetric Refinement,
ICCV05(I: 557-563).
IEEE DOI Link 0510
Not just refinement from coarse match. BibRef

Tornow, M., Michaelis, B., Kuhn, R.W., Calow, R., Mecke, R.,
Hierarchical Method for Stereophotogrammetric Multi-object-position Measurement,
DAGM03(164-171).
HTML Version. 0310
BibRef

Caspary, G., Zeevi, Y.Y.,
Multiresolution approach to three-dimensional stereo vision,
3DPVT02(784-787).
IEEE DOI Link 0206
BibRef
And:
Wavelet-based multiresolution stereo vision,
ICPR02(III: 680-683).
IEEE DOI Link 0211
BibRef

Gherardi, R., Castellani, U., Fusiello, A., Murino, V.,
Optimal Parameter Estimation for MRF Stereo Matching,
CIAP05(818-825).
Springer DOI Link 0509
BibRef

Fusiello, A.[Andrea], Castellani, U.[Umberto], Murino, V.[Vittorio],
Relaxing Symmetric Multiple Windows Stereo Using Markov Random Fields,
EMMCVPR01(91-105).
Springer DOI Link 0205
BibRef
Earlier: A3, A2, A1:
Disparity Map Restoration by Integration of Confidence in Markov Random Fields Models,
ICIP01(II: 29-32).
IEEE Abstract. IEEE Top Reference. 0108
BibRef

Castellani, U., Livatino, S., Fisher, R.B.,
Improving environment modelling by edge occlusion surface completion,
3DPVT02(672-675).
IEEE DOI Link 0206
BibRef

Park, S.Y.[Sang Yoon], Lee, S.H.[Sang Hwa], Cho, N.I.[Nam Ik],
Segmentation based disparity estimation using color and depth information,
ICIP04(V: 3275-3278).
IEEE DOI Link 0505
BibRef

Lee, S.H.[Sang Hwa], Cho, N.I.[Nam Ik], Park, J.I.[Jong-Il],
Disparity estimation using color coherence and stochastic diffusion,
ICIP04(II: 1373-1376).
IEEE DOI Link 0505
BibRef
And:
Stochastic Diffusion for Correspondence Estimation and Objects Segmentation,
GenModel04(183).
IEEE DOI Link 0406
BibRef

Lee, S.H.[Sang Hwa], Cho, N.I.[Nam Ik], Kanatsugu, Y., Park, J.I.[Jong-Il],
Simultaneous object extraction and disparity estimation using stochastic diffusion,
ICIP03(III: 457-460).
IEEE Abstract. IEEE Top Reference. 0312
BibRef

Lee, S.H.[Sang Hwa], Park, S.Y.[Sang Yoon], Cho, N.I.[Nom Ik], Kanatsugu, Y., Park, J.I.[Jong-Il],
Occlusion detection and stereo matching in a stochastic method,
ICIP03(I: 377-380).
IEEE Abstract. IEEE Top Reference. 0312
BibRef

Lee, S.H.[Sang Hwa], Kanatsugu, Y., Park, J.I.[Jong-Il],
A hierarchical method of map-based stochastic diffusion and disparity estimation,
ICIP02(II: 541-544).
IEEE Abstract. IEEE Top Reference. 0210
BibRef

Lee, S.H.[Sang Hwa], Kanatsugu, Y.[Yasuaki], Park, J.I.[Jong-Il],
Hierarchical stochastic diffusion for disparity estimation,
SMBV01(xx-yy). 0110
BibRef

Wu, Q., Xu, G., Ai, H.,
MCGE: Multi-candidate Based Group Evolution in Stereo Matching,
ICIP01(III: 927-930).
IEEE Abstract. IEEE Top Reference. 0108
BibRef

Luo, L., Clewer, D., Canagarajah, N., Bull, D.R.,
Genetic Stereo Matching Using Complex Conjugate Wavelet Pyramids,
ICIP01(II: 153-156).
IEEE Abstract. IEEE Top Reference. 0108
See also Image Fusion Using Complex Wavelets. BibRef

Hansen, M., Daniilidis, K., Sommer, G.,
Optimization of stereo disparity estimation using the instantaneous frequency,
CAIP97(321-328).
WWW Version. 9709
BibRef

Vaidya, N.M., and Boyer, K.L.,
Stereopsis and Image Registration from Extended Edge Features in the Absence of Camera Pose Information,
CVPR91(76-82).
IEEE Abstract. IEEE Top Reference. Hypothesize the match using relational constraints. BibRef 9100

Venkateswar, V., and Chellappa, R.,
Hierarchical Stereo and Motion Correspondence Using Feature Groupings,
IJCV(15), No. 3, July 1995, pp. 245-269.
Springer DOI Link BibRef 9507
Earlier:
Hierarchical Stereo Matching Using Feature Grouping,
DARPA92(427-436). BibRef
Earlier:
Hierarchical Feature Based Matching for Motion Correspondence,
Motion91(280-285). Stereo using different features, and extensions to general matching for motion. For his thesis: See also Hierarchical Representation, Matching and Search for Some Computer Vision Problems. See also Stereo Error Detection, Correction, and Evaluation. BibRef

Nishimoto, Y., and Shirai, Y.,
A Parallel Matching Algorithm for Stereo Vision,
IJCAI85(977-980). Use Zero crossing from several channels (resolutions). BibRef 8500

Chang, C.C.[Chien-Chung], Chatterjee, S., Kube, P.R.,
A quantization error analysis for convergent stereo,
ICIP94(II: 735-739).
IEEE DOI Link 9411
BibRef
Earlier:
On an Analysis of Static Occlusion in Stereo Vision,
CVPR91(722-723).
IEEE Abstract. IEEE Top Reference. Match left to right, then right to left and integrate. BibRef

Chang, C.C.[Chien-Chung], Chatterjee, S.,
Multiresolution Stereo: A Bayesian Approach,
ICPR90(I: 908-912).
IEEE DOI Link BibRef 9000

Chang, C.C.[Chien-Chung], Chatterjee, S.,
A Deterministic Approach for Stereo Disparity Calculation,
ECCV92(420-424).
Springer DOI Link BibRef 9200

Kumar, K.S., Desai, U.B.,
Integrated Stereo Vision - A Multiresolution Approach,
ICPR94(A:714-716).
IEEE DOI Link BibRef 9400

Ma, R.[Ruihua], Thonnat, M.[Monique], Berthod, M.[Marc],
An Adjustment-Free Stereo Matching Algorithm,
BMVC93(xx-yy).
PDF Version. 9309
BibRef

Meygret, A., Thonnat, M., and Berthod, M.,
A Pyramidal Stereovision Algorithm Based on Contour Chain Points,
ECCV90(83-88).
Springer DOI Link Pyramid Structure. Reduce time and match main structure first using pyramid. BibRef 9000

Yokoya, N.,
Surface Reconstruction Directly From Binocular Stereo Images By Multiscale-Multistage Regularization,
ICPR92(I:642-646).
IEEE DOI Link BibRef 9200

Gu, C.[Chuang], Wu, L.D.[Le-De],
Structural matching of multiresolution for stereo vision,
ICPR90(I: 243-245).
IEEE DOI Link 9006
BibRef

Cantoni, V., Griffini, A., Lombardi, L.,
Stereo Vision In Multi-Resolution,
CIAP89(706-713). BibRef 8900

Chapter on Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular continues in
Stereo Analysis: Regions, Combine Area and Edge .