自动三维人脸特征提取算法

2008 New Technologies, Mobility and Security Pub Date : 2008-11-25 DOI:10.1109/NTMS.2008.ECP.28

V. Kaushik, Saurabh Singh, Hemant Tiwari, Sachin K. Goyal, V. Pathak, Phalguni Gupta

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引用次数: 2

摘要

提出了一种从三维人脸数据中自动提取人脸特征的新算法。该算法具有姿态和表情不变性。在美国纽约州立大学宾厄姆顿分校的3D人脸数据库中成功进行了测试。为了测试算法，利用这些提取的特征对图像进行了再生。采用Bezier曲面算法进行再生。

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Automatic 3D Facial Feature Extraction Algorithm

This paper presents a novel algorithm for automatic facial feature extraction from 3D facial data. The proposed algorithm is found to be pose and expression invariant. It is successfully tested on 3D face database from the State University of New York, Binghamton, USA. In order to test the algorithm, the images have been regenerated using these extracted features. Bezier surface algorithm has been used for regeneration.

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来源期刊

2008 New Technologies, Mobility and Security

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