Title :
Towards optimum face recognition
Author_Institution :
Swiss Federal Inst. of Technol., Zurich, Switzerland
Abstract :
Discusses some of the relevant steps towards optimum face recognition in the framework of decision theory. In particular, it addresses the central question, how to estimate joint image probability distributions based on a strongly limited number of example images. This leads to a new, morphing based approach which combines varying view, varying illumination, and inter-personal variations in a uniform framework
Keywords :
decision theory; face recognition; mathematical morphology; probability; decision theory; inter-personal variations; joint image probability distributions; morphing based approach; optimum face recognition; varying illumination; varying view; Additives; Brightness; Decision theory; Face recognition; Gaussian distribution; Laplace equations; Lighting; Probability distribution; Solid modeling; Testing;
Conference_Titel :
Systems, Man, and Cybernetics, 1997. Computational Cybernetics and Simulation., 1997 IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-4053-1
DOI :
10.1109/ICSMC.1997.635153
