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Age progression and other sources of variations such as head pose change have adverse effects on the performance of face verification systems. In this paper, we propose to manage the influence of both the age progression and head pose change on the adult face verification system by a general Q-stack age modeling technique, which uses the age and head pose as class-independent quality measures together...
The influence of age progression on the performance of multi-classifier face verification systems is a challenging and largely open research problem that deserves more and more attention. In this paper, we propose to manage the aging influence on the adult face verification system by a multi-classifier Q-stack age modeling technique, which uses the age as a class-independent metadata quality measure...
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