第 29 卷 第 2 期
2006 年 2 月
计 算 机 学 报
CHINESE JOURNAL OF COMPU TERS
Vol. 29 No. 2
Feb. 2006
收稿日期 :2004211201 ;修改稿收到日期 :2005210224. 本课题得到福建省自然科学基金
(
A0510020
)
和福建省科技计划国际合作重点项目
基金
(
2004I014
)
资助. 陈锻生 ,男 ,1959 年生 ,博士 ,教授 ,主要研究领域为数字图像处理与计算机视觉. E2mail : dschen @hqu. edu. cn.
刘政凯 ,男 ,1940 年生 ,教授 ,博士生导师 ,主要研究领域为数字图像处理与模式识别.
肤色检测技术综述
陈锻生
1
)
,2
)
刘政凯
1
)
1
)
(
中国科学技术大学电子工程与信息科学系 合肥 230027
)
2
)
(
国立华侨大学计算机科学系 泉州 362021
)
摘 要 肤色检测在人脸和手势识别与跟踪、Web 图像内容过滤、数据库或因特网中的人物检索和医疗诊断等方
面有广泛应用. 文中通过分别介绍基于统计和基于物理的两类肤色检测技术 ,较全面地综述了肤色检测技术 ,其中
对颜色空间选择、静、动态肤色建模方法、肤色反射模型和肤色波谱特性等肤色检测重要环节做了分析 ,明确了选
择颜色空间与特征提取和分类方法的联系 ,强调了研究肤色波谱特征对基于物理的肤色检测技术的重要性. 最后
探讨了肤色检测的技术难题和发展趋势.
关键词 肤色检测 ;肤色建模 ;反射模型 ;皮肤光谱 ;计算机视觉
中图法分类号 TP391
A Survey of Skin Color Detection
CHEN Duan2Sheng
1
)
,2
)
L IU Zheng2Kai
1
)
1
)
(
Department of Electronic Engineering and Inf ormation Science , University of Science and Technology of China , Hef ei 230027
)
2
)
(
Department of Com puter Science , Huaqiao University , Quanz hou 362021
)
Abstract Skin color detection has many applications in tasks like detecting and tracking human
faces and gestures , filtering web image contents , retrieving people in databases and Internet , and
diagnosing diseases. This paper comprehensively surveys the skin color detection techniques by
dividing them into statistics2based and physics2based approaches. Important aspects of skin color
detection are discussed , including color space selection , static and dynamic skin color modeling ,
skin reflection models , and visual and infrared skin spectrum. Based on the discussion , the color
space selection is related to feature exaction and classification methods. The selection of color
space is actually the selection of a feature base for the classification ; and features are not inde2
pendent from the classifier , so how well they cooperate can affect the overall performance of the
classification system. Therefore , it is of little significance to discuss the optimal color space for
skin color detection without considering the methods of skin color modeling and the principle and
implementation of the classifier. A successful dynamic skin color model should be able to work
well under varying illumination , which is also the precondition for a skin color detection system
to work properly outdoors. Physics2based skin color detection should study skin reflection model
or skin spectrum , the combination of reflected and emitted data will essentially improve the per2
formance of skin color detection system. The major challenge of skin color detection techniques is
how to deal properly with different illumination conditions and complex background. The further
research directions of the skin color detection techniques include intercrossing related disciplines ,
fusing related algorithms and combining related features. It is a trend to integrate physics2based
techniques in statistics2based skin detection techniques in high end applications.
Keywords skin color detection ; skin color modeling ; reflection model ; skin spectrum ; computer
vision
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