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High quality depth maps from stereo matching and ToF camera

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4 Author(s)
Jing Zhang ; Inst. of Inf. & Commun. Eng., Zhejiang Univ., Hangzhou, China ; Liang-Hao Wang ; Dong-Xiao Li ; Ming Zhang

Depth generation is a key technology in computer vision. Known methods mainly rely on stereo matching, or measuring devices like ToF camera. The ToF camera performs well in low-textured regions and repetitive regions where stereo matching fails. In contrast, stereo matching works better than ToF camera in textured regions. Based on their complementary characteristics, we introduce a method to combine ToF depth and stereo matching. In order to integrate their respective advantages, we measure their reliabilities and construct a new cost volume. Experiment results show that our fusion algorithm improves the accuracy and robustness, the generated depth map is much better than that obtained from an individual method.

Published in:

Soft Computing and Pattern Recognition (SoCPaR), 2011 International Conference of

Date of Conference:

14-16 Oct. 2011

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