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IS BLOCK MATCHING AN ALTERNATIVE TOOL TO LBP FOR FACE RECOGNITION?
KTH, Skolan för elektroteknik och datavetenskap (EECS), Människocentrerad teknologi, Medieteknik och interaktionsdesign, MID.
2014 (Engelska)Ingår i: 2014 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), IEEE, 2014, s. 723-727Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

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.

Ort, förlag, år, upplaga, sidor
IEEE, 2014. s. 723-727
Serie
IEEE International Conference on Image Processing ICIP, ISSN 1522-4880
Nyckelord [en]
face recognitio, ; block matching, LBP, patch-based matching
Nationell ämneskategori
Elektroteknik och elektronik
Identifikatorer
URN: urn:nbn:se:kth:diva-268650ISI: 000370063600147ISBN: 978-1-4799-5751-4 (tryckt)OAI: oai:DiVA.org:kth-268650DiVA, id: diva2:1394631
Konferens
IEEE International Conference on Image Processing (ICIP), Paris, FRANCE, OCT 27-30, 2014
Anmärkning

QC 20200219

Tillgänglig från: 2020-02-19 Skapad: 2020-02-19 Senast uppdaterad: 2020-02-19Bibliografiskt granskad

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Zhong, YangLi, Haibo
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Elektroteknik och elektronik

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