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.
WWW Version.
BibRef
8905
IJCV(3), No. 1. May 1989, pp. 17-32.
WWW Version.
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
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.
0403Extend 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 may work or IEEE-CS DOI may work. See also On Parameter-Dependent Connected Components of Gray Images.
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 may work or IEEE-CS DOI may work.
HTML Version.
0009
BibRef
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 may work or IEEE-CS DOI may work.
0806
BibRef
Earlier:
Multiscale Image Disparity Estimation using the Quaternion Wavelet
Transform,
ICIP06(1229-1232).
0610
IEEE DOI may work or IEEE-CS DOI may work.
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 may work or IEEE-CS DOI may work.
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 may work or IEEE-CS DOI may work.
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).
WWW Version.
0611Given initial disparity, find edges.
Improve using these edges.
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).
WWW Version.
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).
WWW Version.
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 may work or IEEE-CS DOI may work.
0510Not 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 may work or IEEE-CS DOI may work.
0206
BibRef
And:
Wavelet-based multiresolution stereo vision,
ICPR02(III: 680-683).
IEEE DOI may work or IEEE-CS DOI may work.
0211
BibRef
Gherardi, R.,
Castellani, U.,
Fusiello, A.,
Murino, V.,
Optimal Parameter Estimation for MRF Stereo Matching,
CIAP05(818-825).
WWW Version.
0509
BibRef
Fusiello, A.[Andrea],
Castellani, U.[Umberto],
Murino, V.[Vittorio],
Relaxing Symmetric Multiple Windows Stereo Using Markov Random Fields,
EMMCVPR02(91 ff.).
HTML Version.
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 may work or IEEE-CS DOI may work.
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 may work or IEEE-CS DOI may work.
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 may work or IEEE-CS DOI may work.
0505
BibRef
And:
Stochastic Diffusion for Correspondence Estimation and Objects
Segmentation,
GenModel04(183).
IEEE DOI may work or IEEE-CS DOI may work.
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.
WWW Version.
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.[Chienchung],
Chatterjee, S.,
Kube, P.R.,
A quantization error analysis for convergent stereo,
ICIP94(II: 735-739).
IEEE DOI may work or IEEE-CS DOI may work.
9411
BibRef
Chang, C.,
Chatterjee, S., and
Kube, P.R.,
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
9100
Chang, C., and
Chatterjee, S.,
Multiresolution Stereo: A Bayesian Approach,
ICPR90(I: 908-912).
IEEE DOI may work or IEEE-CS DOI may work.
BibRef
9000
Chang, C.,
Chatterjee, S.,
A Deterministic Approach for Stereo Disparity Calculation,
ECCV92(420-424).
WWW Version.
BibRef
9200
Kumar, K.S.,
Desai, U.B.,
Integrated Stereo Vision - A Multiresolution Approach,
ICPR94(A:714-716).
IEEE DOI may work or IEEE-CS DOI may work.
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).
WWW Version.
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 may work or IEEE-CS DOI may work.
BibRef
9200
Gu, C.[Chuang],
Wu, L.D.[Le-De],
Structural matching of multiresolution for stereo vision,
ICPR90(I: 243-245).
IEEE DOI may work or IEEE-CS DOI may work.
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 .