Face Detection Based on Color Model and Grayscale Value Distribution

Abstract:

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With the development of technology concerning face recognition, it has aroused great attentions from related scientists and is envisioned to be widely applied in various fields in the future. In this paper we are going to describe an effective way for detecting face in the statistic images. The proposed method will firstly detect face region via using the color model, which has been described in my previous paper [1] so as to locate the candidate pixels. Then we analyze the gray value distribution of candidate pixels to segment a more accurate region. Finally the face region is likely to be obtained after the exclusion of superfluous skin region.

Info:

Periodical:

Advanced Materials Research (Volumes 341-342)

Edited by:

Liu Guiping

Pages:

535-539

DOI:

10.4028/www.scientific.net/AMR.341-342.535

Citation:

Y. Zhang "Face Detection Based on Color Model and Grayscale Value Distribution", Advanced Materials Research, Vols. 341-342, pp. 535-539, 2012

Online since:

September 2011

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Price:

$35.00

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