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Achieving Illumination Invariance Using Image Filters

Ognjen ArandjelovicRoberto Cipolla

出版	INTECH Open Access Publisher, 2007
ISBN	39026130339783902613035
URL	http://books.google.com.hk/books?id=XimnoAEACAAJ&hl=&source=gbs_api

註釋

In this chapter we described a novel framework for automatic face recognition in the presence of varying illumination, primarily applicable to matching face sets or sequences. The framework is based on simple image processing filters that compete with unprocessed greyscale input to yield a single matching score between individuals. By performing all numerically consuming computation offline, our method both (i) retains the matching efficiency of simple image filters, but (ii) with a greatly increased robustness, as all online processing is performed in closed-form. Evaluated on a large, real-world data corpus, the proposed framework was shown to be successful in video-based recognition across a wide range of illumination, pose and face motion pattern changes.