Dirichlet-tree distribution enhanced random forests for head pose estimation

ICPRAM 2014 - Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods

Volumn , Issue , 2014, Pages 87-95

  Liu, Yuanyuan ^a,b,c   Chen, Jingying ^a,b   Liu, Leyuan ^a,b   Gong, Yujiao ^a   Luo, Nan ^a  

^a CENTRAL CHINA NORMAL UNIVERSITY   (China)

^b Collaborative and Innovative Center for Educational Technology ^*  (China)

^c HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Dirichlet tree distribution enhanced random forests; Gaussion mixture model; Head pose estimation; Positive patch extraction

Indexed keywords

DECISION TREES; FORESTRY; GAUSSIAN DISTRIBUTION; IMAGE RESOLUTION; IMAGE SEGMENTATION;

ADAPTIVE GAUSSIAN MIXTURE MODELS; COARSE TO FINE; HEAD POSE ESTIMATION; HUMAN MACHINE INTERFACE; ILLUMINATION VARIATION; MIXTURE MODEL; RANDOM FORESTS; TREE DISTRIBUTION;

PATTERN RECOGNITION;

ALGORITHMS; DECISION MAKING; FORESTS; IMAGE ANALYSIS;

EID: 84902345436     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.5220/0004825000870095     Document Type: Conference Paper

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