On image multi-view local feature extraction and similarity matching
Shi Han-lu · Electronic Design Engineering · 2013
Image feature extraction is a fundamental basis for computer vision applications.Three complementary local features(multi-view local features) extraction algorithms,namely SIFT,LBP,HOG,are researched,and image similarity matching algorithm based on sparse coding is studied.Content-based Image Retrieval(CBIR) is taken as the application example to verify the effectiveness and efficiency of these algorithms.