Photorealistic Scene Reconstruction by Voxel Coloring
International Journal of Computer Vision
A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
International Journal of Computer Vision
A Simple Stereo Algorithm to Recover Precise Object Boundaries and Smooth Surfaces
International Journal of Computer Vision
A Cooperative Algorithm for Stereo Matching and Occlusion Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Stereo Matching with Segmentation-Based Cooperation
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part II
Diffuse-Specular Separation and Depth Recovery from Image Sequences
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
Advances in Computational Stereo
IEEE Transactions on Pattern Analysis and Machine Intelligence
Extracting View-Dependent Depth Maps from a Collection of Images
International Journal of Computer Vision - Special Issue on Research at Microsoft Corporation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Dense height map estimation from oblique aerial image sequences
Computer Vision and Image Understanding
Improving Border Localization of Multi-Baseline Stereo Using Border-Cut
International Journal of Computer Vision
Towards a multi-camera generalization of brightness constancy
IWCM'04 Proceedings of the 1st international conference on Complex motion
Simultaneous estimation of surface motion, depth and slopes under changing illumination
Proceedings of the 29th DAGM conference on Pattern recognition
View synthesis using stereo vision
View synthesis using stereo vision
Disparity map refinement and 3D surface smoothing via directed anisotropic diffusion
Computer Vision and Image Understanding
High-accuracy stereo depth maps using structured light
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Design and hardware implementation of a stereo-matching system based on dynamic programming
Microprocessors & Microsystems
A review and evaluation of methods estimating ego-motion
Computer Vision and Image Understanding
Parallel and distributed algorithms in p systems
CMC'11 Proceedings of the 12th international conference on Membrane Computing
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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.