WxBS: Wide Baseline Stereo Generalizations WxBS: Wide Baseline Stereo Generalizations
Paper summary - SIFT family is still the best local descriptor, outperforms novel CNN [SiamNet2015] approaches. - (adaptive) Hessian-Affine is the best detector with broad applicability (not beaten yet) - Affine view synthesis greatly helps for non-geometrical problems. - Datasets and WxBS-Matcher available http://cmp.felk.cvut.cz/wbs/ - We need more diverse datasets for learning local descriptors than Yosemite and Libert

Summary by Dmytro Mishkin 4 years ago
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