Abstract
In order for the effective recognition of face in the videos of complex environments, this paper presents an algorithm of face tracking of robust. Basing on the rigid constraints, this algorithm generates the potential rectangular area of face tracking,generates the isosceles triangle for the front–view images, generates the right angled triangle for the side images, and reaches the effective rate as 98.18% of face recognition in different sizes, lightings, poses,expressions and even under different noises.
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