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ID Face Detection Robust to Color Degradation and Partial Veiling  

Kim Dae Sung (Department of Electronics Engineering, Kyungpook National University)
Kim Nam Chul (Department of Electronics Engineering, Kyungpook National University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.41, no.1, 2004 , pp. 1-12 More about this Journal
Abstract
In this paper, we present an identificable face (n face) detection method robust to color degradation and partial veiling. This method is composed of three parts: segmentation of face candidate regions, extraction of face candidate windows, and decision of veiling. In the segmentation of face candidate regions, face candidate regions are detected by finding skin color regions and facial components such as eyes, a nose and a mouth, which may have degraded colors, from an input image. In the extraction of face candidate windows, face candidate windows which have high potentials of faces are extracted in face candidate regions. In the decision of veiling, using an eigenface method, a face candidate window whose similarity with eigenfaces is maximum is determined and whether facial components of the face candidate window are veiled or not is determined in the similar way. Experimental results show that the proposed method yields better the detection rate by about $11.4\%$ in test DB containing color-degraded faces and veiled ones than a conventional method without considering color degradation and partial veiling.
Keywords
Face detection; skin color; eigenface;
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