Paper Title:
Face Detection Based on Color Model and Grayscale Value Distribution
  Abstract

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
Authors
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Price
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