A local spectral distribution approach to face recognition

► The presented statistical treatment tackles inherent facial noise or variability. ► No requirement for preprocessing or extraction of distinctive spatial features. ► The extracted distributions embrace local and global face information. ► The method is particularly suited for single face-image app...

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Veröffentlicht in:	Computer vision and image understanding 2012-06, Vol.116 (6), p.663-675
Hauptverfasser:	Pothos, Vasileios K., Theoharatos, Christos, Economou, George
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences Artificial intelligence Computer science control theory systems Data processing. List processing. Character string processing Dimensionality reduction Exact sciences and technology Face recognition Gabor wavelet representation Information systems. Data bases Information, signal and communications theory Manifolds Mathematical analysis Memory organisation. Data processing Pattern recognition. Digital image processing. Computational geometry Representations Sampling, quantization Signal and communications theory Software Spectra Spectral distribution Statistical methods Statistical tests Telecommunications and information theory Vector quantization Vectors (mathematics)
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