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Human Pose Estimation from Volume Data and Topological Graph Database
[chapter]
Computer Vision – ACCV 2007
This paper proposes a novel volume-based motion capture method using a bottom-up analysis of volume data and an example topology database of the human body. By using a two-step graph matching algorithm with many example topological graphs corresponding to postures that a human body can take, the proposed method does not require any initial parameters or iterative convergence processes, and it can solve the changing topology problem of the human body. First, three-dimensional curved lines
doi:10.1007/978-3-540-76386-4_58
dblp:conf/accv/TanakaNT07
fatcat:khl5vsotyzgjdonpkpx7y7c3ci