Dense non-rigid shape correspondence using random forests

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

Volumn , Issue , 2014, Pages 4177-4184

  Rodolà, Emanuele ^a   Bulò, Samuel Rota ^b   Windheuser, Thomas ^a   Vestner, Matthias ^a   Cremers, Daniel ^a  

^a TECHNICAL UNIVERSITY OF MUNICH   (Germany)

^b FONDAZIONE BRUNO KESSLER   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

DECISION TREES; DEFORMATION; IMAGE PROCESSING; PATTERN RECOGNITION;

COMPUTATION TIME; DENSE CORRESPONDENCES; KERNEL SIGNATURES; NON-RIGID SHAPES; RANDOM FOREST CLASSIFIER; SHAPE DESCRIPTORS; SPATIAL REGULARIZATIONS; STATE OF THE ART;

RANDOM FORESTS;

EID: 84911398941     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2014.532     Document Type: Conference Paper

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