Face Verification base-on Hausdorff-Shape Context

Rerkchai Fooprateepsiri, W. Kurutach
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引用次数: 6

Abstract

This paper proposes a highly robust method for face recognition and authentication. Techniques introduced in this work are composed of two stages. Firstly, the feature of face is to be detected by the principle of Trace Transform. Then, in the second stage, the Hausdorff distance and Shape Context are employed to measure and determine of similarity between models and test images. From the experimental result of 6,325 images, the average of accuracy rate is higher than 84%.
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基于Hausdorff-Shape上下文的人脸验证
提出了一种高度鲁棒的人脸识别与认证方法。本文介绍的技术分为两个阶段。首先,利用迹变换原理对人脸特征进行检测。然后,在第二阶段,使用Hausdorff距离和形状上下文来测量和确定模型与测试图像之间的相似性。从6325张图像的实验结果来看,平均准确率高于84%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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