DocumentCode :
2150258
Title :
MSV-Based Face Detection in Color Images
Author :
Kong, Wanzeng ; Zhang, Jianhai ; Zhou, Wenhui ; Wu, Eryong
Author_Institution :
Coll. of Comput. Sci., Hangzhou Dianzi Univ., Hangzhou, China
fYear :
2009
fDate :
17-19 Oct. 2009
Firstpage :
1
Lastpage :
5
Abstract :
This paper presents a MSV-based clustering method for face detection in color images. The method relies on the assumption that faces are well separated from the background by skin color detection. These faces can be located automatically by the minimum scatter volume (MSV) clustering method. The proposed method adopting gradient descent and iteration to search for the optimum solution of cost function which is the determinate of the within-cluster scatter matrix, and the number of clusters is estimated according to the criteria function of clustering effectiveness among numerous clusters. Experiments illustrate the detail of MSV algorithm and also prove the validity of the proposed method.
Keywords :
face recognition; gradient methods; image colour analysis; matrix algebra; minimisation; pattern clustering; search problems; face detection; gradient descent; iterative method; minimum scatter volume clustering method; optimum solution searching; skin color image detection; within-cluster scatter matrix; Brightness; Clustering methods; Color; Computer science; Face detection; Humans; Image processing; Light scattering; Neural networks; Skin;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4244-4129-7
Electronic_ISBN :
978-1-4244-4131-0
Type :
conf
DOI :
10.1109/CISP.2009.5303908
Filename :
5303908
Link To Document :
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