Robust and Accurate Shape Model Matching Using Random Forest Regression-Voting

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 37, Issue 9, 2015, Pages 1862-1874

  Lindner, Claudia ^a   Bromiley, Paul A ^a   Ionita, Mircea C ^a   Cootes, Tim F ^a  

^a UNIVERSITY OF MANCHESTER   (United Kingdom)

Author keywords

Computer vision; Constrained Local Models; Random Forests

Indexed keywords

COMPUTER VISION; DECISION TREES; FEATURE EXTRACTION;

APPLICATION AREA; CONSTRAINED LOCAL MODELS; DEFORMABLE OBJECT; DISCRIMINATIVE MODELS; FACIAL FEATURE POINT DETECTION; OPTIMAL POSITION; RANDOM FORESTS; STATE-OF-THE-ART PERFORMANCE;

FACE RECOGNITION;

ANATOMY AND HISTOLOGY; AUTOMATED PATTERN RECOGNITION; FACE; HUMAN; IMAGE PROCESSING; PROCEDURES; REGRESSION ANALYSIS; STATISTICAL MODEL;

FACE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; REGRESSION ANALYSIS;

EID: 84939248714     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2014.2382106     Document Type: Article

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