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Volumn , Issue , 2010, Pages 358-363

An action-tuned neural network architecture for hand pose estimation

Author keywords

Grasping action; Hand pose estimation; Mixture density networks; Neural networks

Indexed keywords

ACTION RECOGNITION; COMPUTATIONAL MODEL; GRASPING ACTION; HAND POSE; ILL POSED PROBLEM; MIXTURE DENSITY NETWORKS; MOTION CAPTURE; NATURAL INTERACTIONS; PROPOSED ARCHITECTURES; QUANTITATIVE ANALYSIS; RESEARCH AREAS; ROBOTIC APPLICATIONS; SELF-OCCLUSIONS; SYNTHETIC DATASETS; VISION BASED; VISUAL APPEARANCE;

EID: 78651427251     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (2)

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.