On the performance of block matching for stereovision
Presented at the 2014 SIAM Conference on Imaging Science, Mini-Symposium: “High Precision Stereo Vision”. May 12-14 2014, Hong Kong Baptist University, Hong Kong.
Motivated by photogrammetric applications we consider two issues of non-dense block-matching for stereovision. Correctly computing disparities at places where the pronto-parallel hypothesis is invalid (like discontinuities and slanted surfaces) and detecting invalid or ambiguous matches. We explore the use of oriented windows in order to deal with the first issue. While, to detect the mismatches we propose to use a classic parameter-less techniques. Experiments show that incorporating these simple ingredients into a coarse-to-fine algorithm yields competitive results.