10.1.4 Stereo Analysis - Boundaries of Curved Surfaces

Chapter Contents (Back)
Stereo, Boundaries. Matching, Boundaries.

Lim, H.S.,
Stereo Vision: Structural Correspondence and Curved Surface Reconstruction,
Ph.D.E.E., September 1987. BibRef 8709 StanfordUniv. BibRef

Lim, H.S., and Binford, T.O.,
Structural Correspondence in Stereo Vision,
DARPA88(794-808). BibRef 8800
And:
Curved Surface Reconstruction using Stereo Correspondence,
DARPA88(809-819). BibRef
Earlier:
Stereo Correspondence: A Hierarchial Approach,
DARPA87(234-241). BibRef
Earlier:
Stereo Correspondence: Features And Constraints,
DARPA85(373-380). For the epi-polar matched edges, fit a conic to the gap so that it is tangent to the line of sight lines. BibRef

Chung, R.C.K., and Nevatia, R.,
Use of Monocular Groupings and Occlusion Analysis in a Hierarchical Stereo System,
CVIU(62), No. 3, November 1995, pp. 245-268. BibRef 9511 USC Computer Vision
DOI Link BibRef
Earlier: CVPR91(50-56).
IEEE DOI Perceptual Grouping. High level stereo matching and analysis. BibRef

Chung, R.C.K.[Ronald C.K.], and Nevatia, R.[Ramakant],
Recovering LSHGCs and SHGCs from Stereo,
IJCV(20), No. 1/2, 1996, pp. 43-58. BibRef 9600 USC Computer Vision
PDF File. BibRef
Earlier: CVPR92(42-48).
IEEE DOI BibRef
And: DARPA92(401-407). Structural stereo and analysis of Limb boundaries, which do not line up in the image. BibRef

Porrill, J.[John], Pollard, S.[Stephen],
Curve Matching and Stereo Calibration,
IVC(9), No. 1, February 1991, pp. 45-50.
Elsevier DOI BibRef 9102
Earlier: BMVC90(37-42).
PDF File. BibRef

Ma, S.D.[Song De],
Conics-Based Stereo, Motion Estimation and Pose Determination,
IJCV(10), No. 1, February 1993, pp. 7-25.
Springer DOI Use conics in the scene and the properties of the conic for motion and pose computations. BibRef 9302

Ma, S.D., Si, S.H., Chen, Z.Y.,
Quadric Curve Based Stereo,
ICPR92(I:1-4).
IEEE DOI BibRef 9200

Wang, H.M.,
Optical Triangulation for Dynamic Gauging of Cylindrical Parts,
OptLas(24), No. 4, 1996, pp. 351-360. BibRef 9600

Quan, L.,
Conic Reconstruction and Correspondence from Two Views,
PAMI(18), No. 2, February 1996, pp. 151-160.
IEEE DOI Uncalibrated Cameras. Surface Reconstruction. Generalized Cylinder. The issue of correspondence for conics and a simple accurate stable method to reconstruct from two images. Both for calibrated and uncalibrated cameras. See also Two-Way Ambiguity in 2D Projective Reconstruction from Three Uncalibrated 1D Images. BibRef 9602

Sumi, Y.S.[Yasu-Shi], Kawai, Y.[Yoshihiro], Yoshimi, T.[Takashi], Tomita, F.[Fumiaki],
3D Object Recognition in Cluttered Environments by Segment-Based Stereo Vision,
IJCV(46), No. 1, January 2002, pp. 5-23.
DOI Link 0201
BibRef
Earlier:
Recognition of 3D Free-Form Objects Using Segment-Based Stereo Vision,
ICCV98(668-674).
IEEE DOI BibRef

Chen, W., Zhang, M.J., Xiong, Z.H.,
Fast semi-global stereo matching via extracting disparity candidates from region boundaries,
IET-CV(5), No. 2, 2011, pp. 143-150.
DOI Link 1103
BibRef

Jung, C.[Cheolkon], Chen, X.F.[Xu-Feng], Cai, J.[Jiji], Lei, H.Z.[Hao-Zhen], Yun, I.[Inyong], Kim, J.[Joongkyu],
Boundary-preserving stereo matching with certain region detection and adaptive disparity adjustment,
JVCIR(33), No. 1, 2015, pp. 1-9.
Elsevier DOI 1512
Disparity estimation BibRef


Xu, S.[Sheng], Wang, R.[Ruisheng],
Boundary Depth Information Using Hopfield Neural Network,
ISPRS16(B5: 139-146).
DOI Link 1610
Stereo matching boundaries. BibRef

Dellen, B.[Babette], Woergoetter, F.[Florentin],
Disparity from stereo-segment silhouettes of weakly-textured images,
BMVC09(xx-yy).
PDF File. 0909
See also Local Algorithm for the Computation of Optic Flow via Constructive Interference of Global Fourier Components, A. BibRef

Xu, L.[Li], Jia, J.Y.[Jia-Ya],
Stereo Matching: An Outlier Confidence Approach,
ECCV08(IV: 775-787).
Springer DOI 0810
BibRef

Xiong, W.[Wei], Jia, J.Y.[Jia-Ya],
Stereo Matching on Objects with Fractional Boundary,
CVPR07(1-8).
IEEE DOI 0706
BibRef

Ozturk, Y., Sridharan, A.,
Fast model based stereo matching using soar,
ICIP04(II: 1337-1340).
IEEE DOI 0505
BibRef

Trapp, R., Dre, S., Hartmann, G.,
Stereo Matching with Implicit Detection of Occlusions,
ECCV98(II: 17).
Springer DOI BibRef 9800

Malik, J.,
On Binocularly Viewed Occlusion Junctions,
ECCV96(I:167-174).
Springer DOI What happens to a T-junction when viewed in stereo. BibRef 9600

Castan, S., Shen, J.,
A Stereo Vision Algorithm Taking into Account the Perspective Distortions,
ICPR84(444-446). BibRef 8400

Chapter on Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular continues in
Stereo Analysis - Gradient Based .


Last update:Oct 1, 2019 at 15:23:24