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2009 International Conference on Computational Intelligence and Security
Multi-pose Face Detection Based on Adaptive Skin Color and Structure Model
Beijing, China
December 11-December 14
ISBN: 978-0-7695-3931-7
ASCII Text
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Zhao-yi Peng, Yu Zhou, Ping Wang, "Multi-pose Face Detection Based on Adaptive Skin Color and Structure Model," 2012 Eighth International Conference on Computational Intelligence and Security, vol. 1, pp. 325-329, 2009 International Conference on Computational Intelligence and Security, 2009.
 
 
BibTex
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@article{ 10.1109/CIS.2009.143,
author = {Zhao-yi Peng and Yu Zhou and Ping Wang},
title = {Multi-pose Face Detection Based on Adaptive Skin Color and Structure Model},
journal ={2012 Eighth International Conference on Computational Intelligence and Security},
volume = {1},
year = {2009},
isbn = {978-0-7695-3931-7},
pages = {325-329},
doi = {http://doi.ieeecomputersociety.org/10.1109/CIS.2009.143},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - 2012 Eighth International Conference on Computational Intelligence and Security
TI - Multi-pose Face Detection Based on Adaptive Skin Color and Structure Model
SN - 978-0-7695-3931-7
SP325
EP329
A1 - Zhao-yi Peng,
A1 - Yu Zhou,
A1 - Ping Wang,
PY - 2009
KW - face detection
KW - multi-pose
KW - skin color and structure model
KW - adaptive Gamma correction
VL - 1
JA - 2012 Eighth International Conference on Computational Intelligence and Security
ER -
 
In this paper, propose a method of face detection based on adaptive skin color and structure model for multi-pose color images in a complex background. First, a face skin color model is built, and an adaptive Gamma correction is used in the skin color segmentation, which improve the skin color model to adapt to different illumination and multi-poses of face. Then a triangular structure model is constructed specific to the face features. And finally use the structure model to locate the face precisely on the basis of face images of skin color. The experimental results show the approach raised on this paper can adapt to the face detection under the conditions of different illumination environment, various poses and complex background, and the algorithm is quick and effective.
Index Terms:
face detection, multi-pose, skin color and structure model, adaptive Gamma correction
Citation:
Zhao-yi Peng, Yu Zhou, Ping Wang, "Multi-pose Face Detection Based on Adaptive Skin Color and Structure Model," cis, vol. 1, pp.325-329, 2009 International Conference on Computational Intelligence and Security, 2009
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