Illumination independent color-based face detection

3rd International Symposium on Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the Pub Date : 2003-09-18 DOI:10.1109/ISPA.2003.1296950

J. Kovac, Peter Peer, F. Solina

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引用次数: 27

Abstract

Computer vision is one out of many areas that want to understand the process of human functionality and copy that process with intention to complement human life with intelligent machines. For better human-computer interaction it is necessary for the machine to see people. This can be achieved by employing face detection algorithms, like the one used in the installation "15 Seconds of Fame" (F. Solina et al., 2002). Mentioned installation unites the areas of modern art and technology. Its algorithm is based on skin-color detection. One of the problems this and similar algorithms have to deal with is sensitivity to the illumination conditions under which the input image is captured. Hence illumination sensitivity influences face detection results. This problem is being more or less successfully solved by the use of color compensation and color constancy methods. In this work some of these methods are described, realized and tested. Their basic intention is to eliminate the influence of non-standard illumination from images. Tests that were performed showed that methods apply positive influence on face detection results.

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光照无关的基于颜色的人脸检测

计算机视觉是众多领域中的一个，它想要了解人类功能的过程，并复制这一过程，目的是用智能机器补充人类的生活。为了更好地进行人机交互，机器必须能看到人。这可以通过使用面部检测算法来实现，就像在装置“15秒成名”中使用的算法(F. Solina et al.， 2002)。上述装置结合了现代艺术和技术领域。它的算法是基于肤色检测。该算法和类似算法必须处理的问题之一是对捕获输入图像的照明条件的敏感性。因此，照明灵敏度影响人脸检测结果。采用色彩补偿和色彩恒常性方法或多或少地成功地解决了这一问题。本文对其中的一些方法进行了描述、实现和测试。它们的基本意图是消除图像中非标准照明的影响。实验结果表明，该方法对人脸检测结果有积极影响。

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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3rd International Symposium on Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the

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