Depth Data-Driven Real-Time Articulated Hand Pose Recognition

Young-Woon Cha; Hwasup Lim; Minhyuk Sung; Sang Chul Ahn

doi:10.1007/978-3-319-14364-4_47

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Depth Data-Driven Real-Time Articulated Hand Pose Recognition

Young-Woon Cha Hwasup Lim Minhyuk Sung Sang Chul Ahn

Year: 2014 Lecture notes in computer science Pages: 492-501 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-319-14364-4_47

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Keywords:

Computer science Pose Artificial intelligence Initialization Computer vision Locality Orientation (vector space) Articulated body pose estimation Pattern recognition (psychology) 3D pose estimation

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Topics

Hand Gesture Recognition Systems

Physical Sciences → Computer Science → Human-Computer Interaction

Human Pose and Action Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Video Analysis and Summarization

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Depth Data-Driven Real-Time Articulated Hand Pose Recognition

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