文章基本信息

标题：HYPERSPECTRAL FACE CLASSIFICATION IN WAVELET DOMAIN USING KNN CLASSIFIER
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作者：P.V.V.Kishore ; A.S.C.S.Sastry ; T.Krishna Murthy 等
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2014
卷号：65
期号：2
出版社：Journal of Theoretical and Applied
摘要：Hyperspectral face images present constructive information captured using a Hyperspectral camera compared to normal RGB camera capturing face images. Hyperspectral imaging is the collecting and processing of information from across the visible electromagnetic spectrum. Hyper spectral imaging deals with the imaging of narrow spectral bands over a continuous visible spectral range, and produces the spectra of all pixels in the scene. In this research face recognition experimentation is done in near infrared hyperspectral images. The recognition is accomplished on hyperspectral face database consisting of 47 test subjects created by Hong Kong Polytechnic University. The database images of hyperspectral faces were collected using a CCD camera equipped with a liquid crystal tunable filter to provide 33 bands over the near-infrared (0.7_m-1.0_m). Experiments were conducted to demonstrate that this simple algorithm can be used to recognize faces that changes in facial pose and expression over time.
关键词：Hyperspectral; Face Classification and Identification; Wavelet based Fusion; Principle Component analysis (PCA); Minimum Distance Classifier(KNN).