3D ear modeling based on SFS

Proceedings of the 10th World Congress on Intelligent Control and Automation Pub Date : 2012-07-06 DOI:10.1109/WCICA.2012.6359394

Cong Liu, Zhichun Mu, Kai Wang, Hui Zeng

引用次数: 1

Abstract

Ear recognition, by using ear for identification recognition, is a kind of new biometric identification technology. Currently there are a lot of ear recognition methods based on 2D images, while 3D data can provide more information. 3D reconstruction methods based on multiple 2D images have a common difficult which is to extract corresponding feature points of different images. In this paper, SFS(Shape From Shading) was used for 3D modeling by only one grayscale image. Light direction was estimated by analyzing singular points, which refers to the greatest grayscale point, in 2D grayscale image. In addition, in order to achieve more accurate 3D modes, the abnormal high brightness of the cavity of auricular concha is processed. The matching accuracy of the model can reach to 84%. Therefore the experiments shown that the method proposed in this paper is simple and effective to modeling 3D ear.

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基于SFS的三维耳模型

人耳识别是一种新型的生物特征识别技术，利用人耳进行身份识别。目前有很多基于二维图像的耳朵识别方法，而三维数据可以提供更多的信息。基于多幅二维图像的三维重建方法有一个共同的难点，即提取不同图像对应的特征点。本文采用SFS(Shape From Shading)方法，仅对一张灰度图像进行三维建模。通过分析二维灰度图像中最大灰度点的奇异点来估计光的方向。此外，为了获得更精确的3D模式，对耳甲腔异常的高亮度进行了处理。模型的匹配精度可达84%。实验结果表明，本文提出的方法简单有效，可用于三维耳的建模。

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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Proceedings of the 10th World Congress on Intelligent Control and Automation

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