Occlusion detectable stereo-occlusion patterns in camera matrix
- 1 January 1996
- proceedings article
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 371-378
- https://doi.org/10.1109/cvpr.1996.517099
Abstract
In stereo algorithms with more than two cameras, the improvement of accuracy is often reported since they are robust against noise. However, another important aspect of the polynocular stereo, that is the ability of occlusion detection, has been paid less attention. We intensively analyzed the occlusion in the camera matrix stereo (SEA) and developed a simple but effective method to detect the presence of occlusion and to eliminate its effect in the correspondence search. By considering several statistics on the occlusion and the accuracy in the SEA, we derived a few base masks which represent occlusion patterns and are effective for the detection of occlusion. Several experiments using typical indoor scenes showed quite good performance to obtain dense and accurate depth maps even at the occluding boundaries of objects.Keywords
This publication has 12 references indexed in Scilit:
- The Trinocular General Support Algorithm: A Three-camera Stereo Algorithm For Overcoming Binocular Matching ErrorsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Real-time stereo vision with multiple arrayed cameraPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- A binocular stereo algorithm for reconstructing sloping, creased, and broken surfaces in the presence of half-occlusionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- A nonlinear diffusion model for discontinuous disparity and half-occlusions in stereoPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Real-time motion stereoPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- A multiple-baseline stereoPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1993
- Structure from stereo-a reviewIEEE Transactions on Systems, Man, and Cybernetics, 1989
- Epipolar-plane image analysis: An approach to determining structure from motionInternational Journal of Computer Vision, 1987
- Multiframe Image Point Matching and 3-D Surface ReconstructionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1983
- Computational StereoACM Computing Surveys, 1982