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Reconstruction of segmentally articulated structure in freeform movement with low density feature points
- Source :
-
Image & Vision Computing . Sep2004, Vol. 22 Issue 10, p749-759. 11p. - Publication Year :
- 2004
-
Abstract
- Though a large body of research has focused on tracking and identifying objects from the domain of colour or grey-scale images, there is a relative dearth in the literature on complex articulated/non-rigid motion reconstruction from a collection of low density feature points. In this paper, we propose a segment-based articulated matching algorithm to establish a crucial self-initialising identification in model-based point-feature tracking of articulated motion with near-rigid segments. We avoid common assumptions such as pose similarity or small motion with respect to the model, and assume no prior knowledge of a specific movement from which to restrict pose identification. Experimental results based on synthetic pose and real-world human motion capture data demonstrate the ability of the algorithm to perform the identification task. [Copyright &y& Elsevier]
- Subjects :
- *RECONSTRUCTION (U.S. history, 1865-1877)
*ALGORITHMS
*PAPER
*UNITED States history
Subjects
Details
- Language :
- English
- ISSN :
- 02628856
- Volume :
- 22
- Issue :
- 10
- Database :
- Academic Search Index
- Journal :
- Image & Vision Computing
- Publication Type :
- Academic Journal
- Accession number :
- 13904956
- Full Text :
- https://doi.org/10.1016/j.imavis.2004.02.013