一种人脸特征点自动定位方法

2011 IEEE International Conference on Cloud Computing and Intelligence Systems Pub Date : 2011-10-13 DOI:10.1109/CCIS.2011.6045119

Qinyan Zhang, Xiaoping Li

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引用次数: 1

摘要

提出了一种基于相似度计算的人脸特征点自动定位方法。在复杂的光照条件下，在有干扰和小角度倾斜的情况下，该系统仍然具有鲁棒性。该方法不需要人工训练定位人脸特征点的样本集。实验结果表明，该系统具有良好的性能和较高的精度。

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An automatic facial feature point localization method

This paper proposes an automatic facial feature point localization method that based on calculating the similarity. In a complicated illumination condition, beard interference and small angle facial tilt, this system which mentioned in this paper is still robust. It is not necessary to train the sample set which localize the facial feature points manually. The experimental results demonstrate that this system have a good performance and high accuracy.

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来源期刊

2011 IEEE International Conference on Cloud Computing and Intelligence Systems

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