Abstract：To improve the efficiency of traditional face alignment algorithms, a face alignment algorithm based on shape parametric regression is proposed. Firstly, face is constrained by face shape space and face shape is depicted by a low dimensional shape parameter. Then, a series of shape parameter regressions is learned under the framework of a two-level shape parameter regression algorithm with the combination of an efficient explicit shape feature index method and multiple random feature selection method. Finally, the alignment face shape is portrayed. By the proposed algorithm, the amount of data storage is reduced and the speed of the face alignment is improved. Experiments on complex dataset show that the proposed algorithm obtains good results. Moreover, it can be applied directly on mobile phones, tablet composters and other low-end devices.
彭明超，包姣，叶茂，苟群森，王梦伟. 基于形状参数回归的人脸对齐算法*[J]. 模式识别与人工智能, 2016, 29(1): 63-71.
PENG Mingchao, BAO Jiao, YE Mao, GOU Qunsen, WANG Mengwei. Face Alignment Algorithm Based on Shape Parameter Regression. , 2016, 29(1): 63-71.
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