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1 Machine Graphics and Vision

1 2004

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A cooperative stereo matching and occlusion detection algorithm for stereo coding

Han J., Lu Z.

Machine Graphics and Vision

2004

Vol. 13, No. 1/2

25-38

This paper presents a novel stereo algorithm for obtaining disparity vectors with simply detected occluded points, which is adaptive to a stereo coding scheme. In this algorithm, we first propose a novel scheme based on an adaptive UT mesh model and an epipolar line constraint principle for stereo matching. Furthermore, a simple occlusion detection algorithm is introduced, which uses two fundamental concepts: the uniqueness assumption and the disparity gradient limit principle. Our technique first extracts some triangular vertices from a reference image using an improved adaptive Delaunay triangulation representation algorithm. As feature points, these vertices are matched in the target image with some correlation measurement. After obtaining the disparity vector of each vertex, the uniqueness assumption and the disparity gradient limit are used to select occluded points and label occluded regions. Thr disparity vectors of the points among the triangular vertices can be calculated by a six-parameter affine transformation. In terms of advantages for image coding of a DT mesh model, this algorithm is definitely appropriate for stereo coding, which has been proven by experimental results. We have applied this algorithm to some stereo images, and the experimental results show that the veracity of the disparity estimation given in this paper is higher than that of the conventional algorithms. What is more. some occluded points and occlusion regions can be easily detected with this algorithm. lu addition, the algorithm can achieve higher coding efficiency as compared to conventional stereo coding algorithms.