Please use this identifier to cite or link to this item: http://ktisis.cut.ac.cy/handle/10488/4844
Title: Face recognition based on multiple representations: splitting the error space
Authors: Leonidou, Miltiades
Tsapatsoulis, Nicolas 
Kollias, Stefanos D. 
Keywords: Face recognition
Algorithms
Issue Date: 1999
Publisher: Springer Netherlands
Source: Advances in intelligent systems, 1999, Part III, Pages 345-356
Abstract: In recent years numerous algorithms have been proposed for face recognition [1] and much progress has been made toward this direction. Most of these algorithms achieve high rates of correct recognition only under very small variations in illumination, scale, facial expressions and perspective angle or pose transformations [2, 3]. The inefficiency of the presented algorithms under extreme variations of the above factors is quite reasonable. Recent investigations have shown that the proposed face representation schemes derive greater variability in a given face under changes in scale, illumination, perspective angle and expression, than different faces when these three factors are held constant. In other words intra-class variance is larger than the inter-class one [2].
URI: http://ktisis.cut.ac.cy/jspui/handle/10488/4844
ISBN: 978-94-011-4840-5
DOI: 10.1007/978-94-011-4840-5_31
Rights: Kluwer Academic Publishers
Appears in Collections:Κεφάλαια βιβλίων/Book chapters

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