Research on Fast Dense Stereo Matching Technique Using Adaptive Mask
ZHOU Jia-Li1, WU Min2, ZHOU Hua-Ping3
1.College of Science, Zhejiang University of Technology, Hangzhou 310023 2.College of Science, Zhejiang University of Science and Technology, Hangzhou 310023 3.Design Department, LG Display Nanjing Co., Ltd, Nanjing 210046
Abstract Based on the classical phase-only correlation algorithms, a fast stereo matching method is proposed for dense point cloud. The adaptive discrete mask is used to the matching weight of the similar dense fields by estimating the gradient of matching points, thus the reconstruction precision and reliability are improved. Moreover, the proposed method also improves computational efficiency via storing and reusing the intermediate data of 2D DFT. Since the proposed algorithm satisfies SIMD model, the GPU parallel computing makes the matching process basically reach real-time . The experimental results show that the proposed fast phase-only correlation algorithm performs well in the surface reconstruction of smooth irregular diffuse objects obtained from short-baseline parallel-axis binocular stereo device, therefore it can be widely used in 3D face recognition and other fields.
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2014, Vol. 27 
