A prism-based single-lens stereovision system: From trinocular to multi-ocular
Image and Vision Computing
A Bayesian approach for segmentation in stereo image sequences
EURASIP Journal on Applied Signal Processing
Vector lifting schemes for stereo image coding
IEEE Transactions on Image Processing
Bimodal biometric person identification system under perturbations
PSIVT'07 Proceedings of the 2nd Pacific Rim conference on Advances in image and video technology
Dense disparity MAP representations for stereo image coding
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
GOP-flexible distributed multiview video coding with adaptive side information
ICCCI'10 Proceedings of the Second international conference on Computational collective intelligence: technologies and applications - Volume Part III
Fast multi-view disparity estimation for multi-view video systems
ACIVS'06 Proceedings of the 8th international conference on Advanced Concepts For Intelligent Vision Systems
Multiview video coding based on global motion model
PCM'04 Proceedings of the 5th Pacific Rim conference on Advances in Multimedia Information Processing - Volume Part III
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An efficient disparity estimation and occlusion detection algorithm for multiocular systems is presented. A dynamic programming algorithm, using a multiview matching cost as well as pure geometrical constraints, is used to estimate disparity and to identify the occluded areas in the extreme left and right views. A significant advantage of the proposed approach is that the exact number of views in which each point appears (is not occluded) can be determined. The disparity and occlusion information obtained may then be used to create virtual images from intermediate viewpoints. Furthermore, techniques are developed for the coding of occlusion and disparity information, which is needed at the receiver for the reproduction of a multiview sequence using the two encoded extreme views. Experimental results illustrate the performance of the proposed techniques