Ear Localization from Side Face Images using Distance Transform and Template Matching

S. Prakash, U. Jayaraman, P. Gupta
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引用次数: 39

Abstract

The paper presents an efficient distance transform and template based technique for automatic ear localization from a side face image. The technique first segments skin and non-skin regions in the face and then uses template based approach to find the ear location within the skin regions. Ear detection proceeds as follows. First, edge map of the skin regions is computed and further processed to eliminate the spurious edges based on length and curvature based criterion. After getting the clean edge map, its distance transform is obtained on which ear localization process is carried out. Distance transform image of the edge map of an off-line created ear template is employed for ear localization. A Zernike moment based shape descriptor is used to verify the detections. The technique is tested on IIT Kanpur ear database which contains around 150 ear images and found to be giving 95.2% accuracy.
基于距离变换和模板匹配的侧脸图像耳朵定位
提出了一种有效的基于距离变换和模板的侧耳图像自动定位技术。该技术首先对面部皮肤区域和非皮肤区域进行分割,然后使用基于模板的方法在皮肤区域内找到耳朵的位置。耳检测过程如下。首先,计算蒙皮区域的边缘图,并根据长度和曲率准则对蒙皮区域的边缘进行进一步处理,消除假边;得到干净的边缘图后,对其进行距离变换,在此基础上进行耳朵定位处理。利用离线创建的耳朵模板边缘图的距离变换图像进行耳朵定位。使用基于泽尼克矩的形状描述子来验证检测结果。该技术在印度理工学院坎普尔耳朵数据库中进行了测试,该数据库包含大约150张耳朵图像,发现准确率为95.2%。
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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