Spatiotemporal Stereo Matching with 3D Disparity Profiles

Yongho Shin, Kuk-Jin Yoon
2015 Procedings of the British Machine Vision Conference 2015  
Adaptive support weights and over-parameterized disparity estimation truly improve the accuracy of stereo matching by enabling window-based similarity measures to handle depth discontinuities and non-fronto-parallel surfaces more effectively. Nevertheless, a disparity map sequence obtained in a frame-by-frame manner still tends to be inconsistent even with the use of state-of-the-art stereo matching methods. To solve this inconsistency problem, we propose a window-based spatiotemporal stereo matching method exploiting 3D disparity profiles.
doi:10.5244/c.29.152 dblp:conf/bmvc/ShinY15 fatcat:rx4p6klohrgqvjysm27m73twuu