Face Localization in Color Images Based on Skin Color and Eye Gradient

Author:

Liang Yun Juan1,Wu Xiao Ying1,Ma Li Juan1,Zhang Li Jun1

Affiliation:

1. Henan Institute of Science and Technology

Abstract

In color images, skin color is the important information on human face. This paper proposes a method to detect and locate human face rapidly based on skin color information and eye gradient. First, normalized RGB space is converted to HSV space; Secondly, the images are pretreated by smoothing and light compensation to overcome the uneven illumination changes, and then the defined skin color model is used to determine candidate regions of the human face, finally the human face is located accurately through eye localization based on gradient template. Experiments show that the method is fast and effective.

Publisher

Trans Tech Publications, Ltd.

Subject

General Engineering

Reference7 articles.

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