A statistic approach to the detection of human faces in color nature scene

Ing Sheen Hsieh, Kuo Chin Fan, Chiunhsiun Lin

研究成果: 雜誌貢獻期刊論文同行評審

65 引文 斯高帕斯(Scopus)

摘要

In this paper, a novel algorithm for oriental face detection is presented to locate multiple faces in color scenery images. A binary skin color map is first obtained by applying the skin/non-skin color classification algorithm. Then, color regions corresponding to the facial and non-facial areas in the color map are separated with a clustering-based splitting algorithm. Thereafter, an elliptic face model is devised to crop the real human faces through the shape location procedure. Last, local thresholding technique and a statistic-based verification procedure are utilized to confirm the human faces. The proposed detection algorithm combines both the color and shape properties of faces. In this work, the color span of human face can be expanded as wilder as possible to cover different faces by using the clustering-based splitting algorithm. Experimental results reveal the feasibility of our proposed approach in solving face detection problem.

原文???core.languages.en_GB???
頁(從 - 到)1583-1596
頁數14
期刊Pattern Recognition
35
發行號7
DOIs
出版狀態已出版 - 7月 2002

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