Class generative models based on feature regression for pose estimation of object categories

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn , Issue , 2013, Pages 755-762

  Fenzi, Michele ^a   Leal Taixe, Laura ^a   Rosenhahn, Bodo ^a   Ostermann, Jorn ^a  

^a LEIBNIZ UNIVERSITY HANNOVER   (Germany)

Author keywords

categorization; Continuous pose estimation; feature learning; generative models

Indexed keywords

CATEGORIZATION; FEATURE LEARNING; GENERATIVE MODEL; LOCAL DESCRIPTORS; MAXIMUM A POSTERIORI; OBJECT CATEGORIES; POSE ESTIMATION; REGRESSION FUNCTION;

DATA PROCESSING; PATTERN RECOGNITION;

GESTURE RECOGNITION;

EID: 84887373554     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2013.103     Document Type: Conference Paper

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