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This paper presents an optimization methodology of hybrid multi-objective genetic algorithm for the real world optimization problem of facial analysis of multiple camera images by 2.5D Active Appearance Model (AAM). Facial large lateral movements make acquisition and analysis of facial images by single camera inefficient. Moreover non-convex multidimensional facial search space formed by AAM requires...
This paper presents an efficient algorithm of face alignment of multiple images by 2.5D Active Appearance Model (AAM). Currently with wide availability of inexpensive webcams a multi-view system is as practical as mono-view. To manage these multiple information obtained from multiview system we propose a new optimization technique of AAM. Our technique is based on Pareto multi-objective genetic optimization...
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