从侧面人脸图像生成正面人脸

2011 IEEE International Conference on Anti-Counterfeiting, Security and Identification Pub Date : 2011-06-24 DOI:10.1109/ASID.2011.5967417

Sandesh Gupta, Shashank Kapoor, Phalguni Gupta

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引用次数: 1

摘要

本文提出了一种从给定的侧面人脸图像生成正面人脸图像的有效方法。它将主成分分析(PCA)与线性对象类(LOC)方法结合使用。在CMU PIE人脸数据库上进行了测试，结果表明该方法比传统的线性对象分类方法有了明显的改进。

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Frontal face generation from profile face image

This paper presents an efficient method to generate the frontal face image from the given profile face image. It uses principal component analysis (PCA) in conjunction with linear object class (LOC) method. The proposed method is tested on CMU PIE face database and it is found to be significant improvement over the well known linear object class method.

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2011 IEEE International Conference on Anti-Counterfeiting, Security and Identification

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