Robust head pose estimation using Dirichlet-tree distribution enhanced random forests

Neurocomputing

Volumn 173, Issue , 2016, Pages 42-53

  Liu, Yuanyuan ^a,b,c   Chen, Jingying ^a,b   Su, Zhiming ^a,b   Luo, Zhenzhen ^a,b   Luo, Nan ^a   Liu, Leyuan ^a,b   Zhang, Kun ^a,b  

^a CENTRAL CHINA NORMAL UNIVERSITY   (China)

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

^c Wenhua College ^*  (China)

Author keywords

Combined texture; Composite weighted voting; D RF; Geometric features; HPE; Patch classification

Indexed keywords

DATABASE SYSTEMS; DECISION TREES; FORESTRY; IMAGE RESOLUTION; TEXTURES;

ATTENTION ESTIMATIONS; GEOMETRIC FEATURE; HEAD POSE ESTIMATION; HUMAN MACHINE INTERFACE; PROBABILISTIC MODELS; UNCONSTRAINED ENVIRONMENTS; WEIGHTED VOTING; WEIGHTED VOTING METHODS;

RANDOM FORESTS;

ACCURACY; ARTICLE; CLASSIFICATION; CLASSIFICATION ALGORITHM; DIRICHLET TREE DISTRIBUTION ENHANCED RANDOM FOREST; FACIES; IMAGE ANALYSIS; INTERMETHOD COMPARISON; MATHEMATICAL ANALYSIS; MATHEMATICAL MODEL; NOISE; PREDICTION; PRIORITY JOURNAL; PROBABILITY; RANDOM FOREST;

EID: 84947867030     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2015.03.096     Document Type: Article

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