Face detection base on fuzzy skin region segmentation

A. Nasrabadi, J. Haddadnia
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引用次数: 4

Abstract

robust face detection in complex background is a challenging task. The complexity in such detection systems stems from the variances in image background, view, illumination, articulation, and facial expression. This article is allocated to introducing a new algorithm for face detection. Fuzzy skin color detection and template matching composed our method instrument. At this paper non-skin parts in the pictures omitted firstly and then result passed to template matching section. Easy implementation and high accuracy detection be feature of our work in compare with other works and indicate the superiority of our work.
基于模糊皮肤区域分割的人脸检测
复杂背景下的鲁棒人脸检测是一项具有挑战性的任务。这种检测系统的复杂性源于图像背景、视角、照明、清晰度和面部表情的差异。本文主要介绍一种新的人脸检测算法。模糊肤色检测和模板匹配组成了我们的方法仪器。本文首先将图片中的非蒙皮部分省略,然后将结果传递给模板匹配部分。与其他工作相比,我们的工作具有易于实现和检测精度高的特点,表明了我们工作的优越性。
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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