Face recognition by detection of matching cliques of points

Fred Stentiford

doi:10.1117/12.2036422

7 March 2014 Face recognition by detection of matching cliques of points

Fred Stentiford

Proceedings Volume 9024, Image Processing: Machine Vision Applications VII; 90240K (2014) https://doi.org/10.1117/12.2036422
Event: IS&T/SPIE Electronic Imaging, 2014, San Francisco, California, United States

Abstract

This paper addresses the problem of face recognition using a graphical representation to identify structure that is common to pairs of images. Matching graphs are constructed where nodes correspond to image locations and edges are dependent on the relative orientation of the nodes. Similarity is determined from the size of maximal matching cliques in pattern pairs. The method uses a single reference face image to obtain recognition without a training stage. The Yale Face Database A is used to compare performance with earlier work on faces containing variations in expression, illumination, occlusion and pose and for the first time obtains a 100% correct recognition result.

Citation Download Citation

Fred Stentiford "Face recognition by detection of matching cliques of points", Proc. SPIE 9024, Image Processing: Machine Vision Applications VII, 90240K (7 March 2014); https://doi.org/10.1117/12.2036422

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