A novel two-tier bayesian based method for hair segmentation

Proceedings - International Conference on Image Processing, ICIP

Volumn , Issue , 2009, Pages 2401-2404

  Wang, Dan ^a,b   Shan, Shiguang ^a   Zeng, Wei ^c   Zhang, Hongming ^c   Chen, Xilin ^a  

^a INSTITUTE OF COMPUTING TECHNOLOGY   (China)

^b UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

^c NEC Laboratories China   (China)

Author keywords

Gaussian model; GMM; Hair segmentation; Mean shift; Two tier Bayesian model

Indexed keywords

IMAGE SEGMENTATION; IMAGING SYSTEMS; MAGNETOSTRICTIVE DEVICES; PIXELS; SEED; VECTOR QUANTIZATION;

BAYESIAN; BAYESIAN MODEL; GAUSSIAN MODEL; HAIR COLORS; MEAN SHIFT; PIXEL CLASSIFICATION; PRIOR PROBABILITY; SEED PIXEL; SEGMENTATION RESULTS;

BAYESIAN NETWORKS;

EID: 77951940600     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2009.5414215     Document Type: Conference Paper

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