Enhanced Patterns of Oriented Edge Magnitudes for Face Recognition and Image Matching

A good feature descriptor is desired to be discriminative, robust, and computationally inexpensive in both terms of time and storage requirement. In the domain of face recognition, these properties allow the system to quickly deliver high recognition results to the end user. Motivated by the recent...

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Veröffentlicht in:	IEEE transactions on image processing 2012-03, Vol.21 (3), p.1352-1365
Hauptverfasser:	Ngoc-Son Vu, Caplier, A.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Applied sciences Computer Science Computer Vision and Pattern Recognition Detection, estimation, filtering, equalization, prediction Detectors End users Engineering Sciences Exact sciences and technology Face Face recognition Face Recognition Technology (FERET) face representation Feature extraction Histograms image matching Image processing Information, signal and communications theory Labeled Faces in the Wild (LFW) local descriptors low complexity Matching Pattern recognition Patterns of Oriented Edge Magnitudes (POEM) Principal component analysis Recognition Robustness Signal and communications theory Signal and Image processing Signal processing Signal, noise Studies Tasks Telecommunications and information theory
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