10.1.9 Stereo and Surface Models

Chapter Contents (Back)
Stereo, Surface Models. Surface Reconstruction.

Grimson, W.E.L.,
From Images to Surfaces: A Computational Study of the Human Early Visual System,
Cambridge: MIT Press1981. BibRef 8100 Ph.D.Thesis (EE). BibRef Book BibRef
Earlier:
Aspects of a Computational Theory of Human Stereo Vision,
DARPA80(128-149). Stereo system based on Marr-Poggio ( See also Cooperative Computation of Stereo Disparity. ) theory. See the review in SIGART #82. This is his thesis work turned into a book. For surface interpolation work: See also Computational Theory of Visual Surface Interpolation, A. BibRef

Ganapathy, S.,
Reconstruction of Scenes Containing Polyhedra from Stereo Pairs of Views,
Stanford AIMemo 272, December 1975. A different date in another reference: BibRef 7512 Ph.D.Thesis (CS), Stanford, 1976. Early Stanford stereo work. BibRef

Boult, T.E., and Chen, L.H.,
Synergistic Smooth Surface Stereo,
ICCV88(118-122).
IEEE Abstract. IEEE Top Reference. BibRef 8800
And:
An Integrated Approach to Stereo Matching, Surface Reconstruction and Depth Segmentation Using Consistent Smoothness Assumptions,
DARPA88(166-176). BibRef
And:
Analysis of Two New Stereo Algorithms,
CVPR88(177-182).
IEEE Abstract. IEEE Top Reference. Combine feature matching, surface reconstruction and segmentation of surfaces to get better results. Results in high density disparities. Use current surface information to decide on ambiguous matches. BibRef

Abbott, A.L., and Ahuja, N.,
Active Stereo: Integrating Disparity, Vergence, Focus, Aperture, and Calibration for Surface Estimation,
PAMI(15), No. 10, October 1993, pp. 1007-1029.
IEEE Abstract. IEEE Top Reference.
WWW Version. BibRef 9310
Earlier:
Active Surface Reconstruction by Integrating Focus, Vergence, Stereo, and Camera Calibration,
ICCV90(489-492).
WWW Version. BibRef
And:
Surface Reconstruction by Dynamic Integration of Focus, Camera Vergence, and Stereo,
ICCV88(532-543).
IEEE Abstract. IEEE Top Reference. Active Vision, Vergence. Data Fusion. Combine all information available to the system to get better results. Interleave image acquisition with surface estimation. Obtains very accurate estimates of surface shapes. BibRef

Abbott, A.L.[A. Lynn],
Dynamic Integration of Depth Cues for Surface Reconstruction from Stereo Images,
Ph.D.Thesis (ECE), May 1990, BibRef 9005 Univ. of Illinois(Or is is January 1991). Computational method for surface reconstruction from stereo images using stereo, camera vergence, and focus. BibRef

Wu, Y.F., Maitre, H.,
A New Dynamic Programming Method for Stereovision Ignoring Epipolar Geometry,
ICPR88(I: 146-148).
WWW Version. 8811 BibRef

Olsen, S.I.,
Stereo Correspondence by Surface Reconstruction,
PAMI(12), No. 3, March 1990, pp. 309-315.
IEEE Abstract. IEEE Top Reference.
WWW Version. BibRef 9003
Earlier:
Concurrent Solution of the Stereo Correspondence Problem and the Surface Reconstruction Problem,
ICPR86(1038-1040). Surface Reconstruction. Refine disparities according to the reconstruction from computed disparities. BibRef

Olsen, S.I.,
Epipolar Line Estimation,
ECCV92(307-311).
WWW Version. BibRef 9200

Chu, C.C., and Bovik, A.C.,
Visible Surface Reconstruction Via Local Minimax Approximation,
PR(21), No. 4, 1988, pp. 303-312.
WWW Version. BibRef 8800

O'Neill, M.A., Denos, M.I.,
Practical Approach to the Stereo Matching of Urban Imagery,
IVC(10), No. 2, March 1992, pp. 89-98.
WWW Version. BibRef 9203

Huang, J.S., Liu, H.C.,
Stereo Vision Using a Microcanonical Mean-Field Annealing Neural-Network,
NetCompNeur(8), No. 1, February 1997, pp. 87-104. 9703 BibRef

Liu, H.C., Huang, J.S.,
Pattern Recognition Using Evolution Algorithms with Fast Simulated Annealing,
PRL(19), No. 5-6, April 1998, pp. 403-413. 9808 BibRef

Kanade, T., Rander, P.W., Narayanan, P.J.,
Virtualized Reality: Constructing Virtual Worlds From Real Scenes,
MultMed(4), No. 1, Jan-Mar 1997, pp. 34-47. 9704 Image Based Rendering. Graphics. BibRef

Kanade, T.[Takeo], Narayanan, P.J., Rander, P.W.[Peter W.],
Virtualized Reality: Being Mobile in a Visual Scene,
ORCV96(273) 9611 BibRef
Earlier: A1 only: RVS95(xx). BibRef

Kanade, T.[Takeo], Narayanan, P.J., Rander, P.W.[Peter W.],
Virtualized Reality: Concept and Early Results,
CMU-CS-TR-95-153, August 1995.
Postscript Version. BibRef 9508

Kanade, T.[Takeo], Narayanan, P.J.,
Historical Perspectives on 4D Virtualized Reality,
3DCINE06(165).
WWW Version. 0609 BibRef

Narayanan, P.J., Kanade, T.,
Virtual Worlds Using Computer Vision,
CVVRHC98(Sensing and Rendering Real Scenes). BibRef 9800

Narayanan, P.J., Rander, P.W.[Peter W.], and Kanade, T.[Takeo],
Constructing Virtual Worlds Using Dense Stereo,
ICCV98(3-10).
WWW Version. BibRef 9800

Szeliski, R.S.[Richard S.], Golland, P.[Polina],
Stereo Matching with Transparency and Matting,
IJCV(32), No. 1, August 1999, pp. 45-61.
WWW Version. BibRef 9908
Earlier: ICCV98(517-524).
WWW Version. BibRef
And: MicrosoftMSR-TR-97-13, May 1997
Postscript Version. BibRef

Zitnick, C.L.[C. Lawrence], Kanade, T.[Takeo],
A Cooperative Algorithm for Stereo Matching and Occlusion Detection,
PAMI(22), No. 7, July 2000, pp. 675-684.
IEEE Abstract. IEEE Top Reference.
WWW Version. 0008 BibRef
And: CMU-RI-TR-99-35, October, 1999.
HTML Version. BibRef

Zitnick, C.L., and Kanade, T.,
A Volumetric Iterative Approach to Stereo Matching and Occlusion Detection,
CMU-RI-TR-98-30, December, 1998.
HTML Version. BibRef 9812

Lee, Y.J.[Young Jin], Kim, D.Y.[Do-Yoon], Chung, M.J.[Myung Jin],
Feature matching in omnidirectional images with a large sensor motion for map generation of a mobile robot,
PRL(25), No. 4, March 2004, pp. 413-427.
WWW Version. 0402 BibRef


Sun, Y.[Yunda], Kohli, P.[Pushmeet], Bray, M.[Matthieu], Torr, P.H.S.[Philip H. S.],
Using Strong Shape Priors for Stereo,
ICCVGIP06(882-893).
WWW Version. 0612 BibRef

Soheilian, B., Paparoditis, N., Boldo, D., Rudant, J.P.,
3D zebra-crossing reconstruction from stereo rig images of a ground-based mobile mapping system,
IEVM06(xx-yy).
PDF Version. 0609 BibRef

Louchet, J.[Jean],
Stereo Analysis Using Individual Evolution Strategy,
ICPR00(Vol I: 908-911).
WWW Version.
HTML Version. 0009Combine stereo with surfaces to get better stereo. BibRef

Ishikawa, H.[Hiroshi],
Multi-scale Feature Selection in Stereo,
CVPR99(I: 132-137).
IEEE Abstract. IEEE Top Reference.
WWW Version. Use constraints from the surface to limit feature matches. BibRef 9900

Hattori, H.[Hiroshi], Maki, A.[Atsuto],
Stereo without Depth Search and Metric Calibration,
CVPR00(I: 177-184).
IEEE Abstract. IEEE Top Reference.
WWW Version. 0005 BibRef
Earlier:
Stereo Matching with Direct Surface Orientation Recovery,
BMVC98(xx-yy). Stereo BibRef

Wang, C., Abe, K.,
Stereo Matching by Integrating Piecewise Surfaces Matched in Subranges of Depth,
ICPR96(I: 423-427).
WWW Version. 9608(Shizuoka Univ., J) BibRef

Ouali, M.H.[Mohammed H.], Ziou, D., Laurgeau, C.,
A Cooperative Multiscale Phase-Based Disparity Algorithm,
ICIP99(III:145-149).
IEEE Abstract. IEEE Top Reference. BibRef 9900
Earlier:
Dense disparity estimation using Gabor filters and image derivatives,
3DIM99(483-489).
WWW Version. 9910 BibRef

Ouali, M.H.[Mohammed H.], Lange, H., Laurgeau, C.,
An Energy Minimization Approach to Dense Stereovision,
ICIP96(II: 841-845).
WWW Version. BibRef 9600

Dillon, C., Caelli, T.M.,
Generating Complete Depth Maps In Passive Vision Systems,
ICPR92(I:562-566).
WWW Version. BibRef 9200

Butler, N.,
Matching Stereo Satellite Images,
ICPR92(I:716-719).
WWW Version. BibRef 9200

Chapter on Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular continues in
Matching Issues for Stereo .


Last update:Jun 25, 2008 at 13:37:57