Is block matching an alternative tool to LBP for face recognition?
2014 (English)Conference paper (Refereed)
In this paper, we introduce the Block Matching (BM) as an alternative patch-based local matching approach for solving the face recognition problem. The Block Matching enables an image patch of the probe face image to search for its best matching from displaced positions in the gallery face image. This matching strategy is very effective for handling spatial shift between two images and it is radically different from that of the widely used LBP type patch-based local matching approaches. Our evaluations on the FERET and CMU-PIE databases show that the performance of this simple method is well comparable (superior) to that of the popular LBP approach. We argue that the Block Matching could provide face recognition a new approach with more flexible algorithm architecture. One can expect that it could lead to much higher performance when combining with other feature extraction techniques, like Gabor wavelet and deep learning.
Place, publisher, year, edition, pages
IEEE conference proceedings, 2014. 723-727 p.
block matching, face recognition, LBP, patch-based matching, Feature extraction, Image processing, Motion compensation, Algorithm architectures, Feature extraction techniques, Gabor wavelets, Local matching, New approaches, Patch based, Image matching
Computer Vision and Robotics (Autonomous Systems)
IdentifiersURN: urn:nbn:se:kth:diva-174798DOI: 10.1109/ICIP.2014.7025145ScopusID: 2-s2.0-84949929395ISBN: 9781479957514OAI: oai:DiVA.org:kth-174798DiVA: diva2:878324
2014 IEEE International Conference on Image Processing, ICIP 2014
QC 201512082015-12-082015-10-072015-12-08Bibliographically approved