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Full-Image Guided Filtering for Fast Stereo Matching

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4 Author(s)
Qingqing Yang ; Zhejiang Provincial Key Lab. of Inf. Network Technol., Zhejiang Univ., Hangzhou, China ; Dongxiao Li ; Lianghao Wang ; Ming Zhang

A novel full-image guided filtering method is proposed. Different with many existing neighborhood filters, all input elements are employed during the proposed filtering approach. In addition, a novel scheme called weight propagation is proposed to compute support weights. It fulfills the requirements of edge preserving and low complexity. It is applied to the cost-volume filtering in the local stereo matching framework. The algorithm utilizing the proposed filtering method is currently one of the best local algorithms on the Middlebury stereo testbed in terms of both speed and accuracy.

Published in:

Signal Processing Letters, IEEE  (Volume:20 ,  Issue: 3 )

Date of Publication:

March 2013

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