Fast stereo matching using adaptive guided filtering
作者：
Highlights：
• A novel local stereo matching algorithm with linear complexity is proposed.
• The overall algorithm generates the state-of-the-art results.
• “Two-level local adaptation” is introduced to guide the adaptive guided filtering.
• The novel post-processing method handles both occlusions and textureless regions.
• A parallel algorithm is proposed to speed up the algorithm on GPU.
摘要
•A novel local stereo matching algorithm with linear complexity is proposed.•The overall algorithm generates the state-of-the-art results.•“Two-level local adaptation” is introduced to guide the adaptive guided filtering.•The novel post-processing method handles both occlusions and textureless regions.•A parallel algorithm is proposed to speed up the algorithm on GPU.
论文关键词：Stereo vision,Local method,Adaptive guided filtering,Parallel integral image,Weighted propagation
论文评审过程：Received 16 August 2012, Revised 10 October 2013, Accepted 9 January 2014, Available online 19 January 2014.
论文官网地址：https://doi.org/10.1016/j.imavis.2014.01.001
