A Novel Local Pattern Descriptor-Local Vector Pattern in High-Order Derivative Space for Face Recognition

In this paper, a novel local pattern descriptor generated by the proposed local vector pattern (LVP) in high-order derivative space is presented for use in face recognition. Based on the vector of each pixel constructed by computing the values between the referenced pixel and the adjacent pixels wit...

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Veröffentlicht in:	IEEE transactions on image processing Jg. 23; H. 7; S. 2877 - 2891
Hauptverfasser:	Fan, Kuo-Chin, Hung, Tsung-Yung
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York, NY IEEE 01.07.2014 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Applied sciences Encoding Exact sciences and technology Face Face recognition Feature extraction Image coding Image processing Information, signal and communications theory Pattern recognition Signal processing Telecommunications and information theory Transforms Vectors Local pattern descriptors local vector pattern (LVP) local binary pattern (LBP) face recognition comparative space transform (CST) local derivative pattern (LDP) local tetra pattern (LTrP) Biometrics Performance evaluation Discriminant analysis Grey level image Face recognition Image processing Image databank Pattern recognition Vector method N order Concatenation Automatic recognition
ISSN:	1057-7149, 1941-0042, 1941-0042
Online-Zugang:	Volltext
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