Utilizing Skin Mask and Face Organs Detection for Improving the Viola Face Detection Method

Yasaman Heydarzadeh, A. Haghighat, N. Fazeli
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引用次数: 5

Abstract

According to wide variety of face applications, a fast and reliable face detection approach is one of the most disturbances in the image processing applications. One of the fast and successful approaches in this field was presented by Viola. Low speed, insensitive to faces with partially missing parts and false detection are open problems of this approach. In this paper, skin mask is used to limit the candidate place and scale for detecting face which makes final algorithm runs 4 times faster. Moreover, training this approach to detect eyes and nose makes possible face detecting only with two eyes or one eye and nose, in addition to decrease false detection rate rather than viola approach. Implementing of this approach shows, the presented algorithm could reduce false negative from 10 percent to 2.4 and reduce false positive from 4.4 percent to 2.4.
利用皮肤面具和面部器官检测改进中提琴人脸检测方法
面对各种各样的人脸应用,快速可靠的人脸检测方法是图像处理应用中最棘手的问题之一。Viola提出了这一领域快速而成功的方法之一。该方法存在速度慢、对部分缺失人脸不敏感、检测错误等问题。本文采用皮肤掩模对人脸检测的候选位置和尺度进行限制,使最终算法运行速度提高了4倍。此外,训练该方法检测眼睛和鼻子,可以实现仅用两只眼睛或一只眼睛和鼻子进行人脸检测,并且比viola方法降低了误检率。该方法的实现表明,该算法可以将假阴性从10%降低到2.4,将假阳性从4.4%降低到2.4。
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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