Authors:
Atsushi Nomura
1
;
Makoto Ichikawa
2
;
Koichi Okada
1
and
Hidetoshi Miike
1
Affiliations:
1
Yamaguchi University, Japan
;
2
Chiba University, Japan
Keyword(s):
Stereo algorithm, Reaction-diffusion equation, Anisotropic diffusion, PDE approach, Visual integration.
Related
Ontology
Subjects/Areas/Topics:
Computer Vision, Visualization and Computer Graphics
;
Early Vision and Image Representation
;
Image and Video Analysis
;
Motion, Tracking and Stereo Vision
;
Stereo Vision and Structure from Motion
Abstract:
The present paper proposes a visual integration algorithm that integrates intensity edge information into a stereo algorithm. The stereo algorithm assumes two constraints of continuity and uniqueness on disparity distribution. Since depth discontinuity around object boundaries does not satisfy the continuity constraint, it causes numerous errors in stereo disparity detection. In order to reduce the errors due to the depth discontinuity, we propose a new algorithm that integrates intensity edge information into the stereo algorithm. The stereo algorithm utilizes reaction-diffusion equations, in which diffusion coefficients control the continuity constraint. Thus, we introduce anisotropic diffusion fields into the reaction-diffusion equations; that is, we modulate the diffusion coefficients according to results of edge detection applied to image intensity distribution. We demonstrate how the proposed algorithm works around areas having depth discontinuity and confirm quantitative perfo
rmance of the algorithm in comparison to other stereo algorithms.
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