Title: Human Skeleton Modeling from 2D Uncalibrated Monocular Data
Authors: Peng, En
Ling, Li
Citation: WSCG '2006: Short Papers Proceedings: The 14-th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2006: University of West Bohemia, Plzen, Czech Republic, January 31 - February 2, 2006, p. 149-156.
Issue Date: 2006
Publisher: Václav Skala - UNION Agency
Document type: konferenční příspěvek
URI: http://wscg.zcu.cz/WSCG2006/Papers_2006/Short/!WSCG2006_Short_Proceedings_Final.pdf
ISBN: 80-86943-05-4
Keywords: lidská kostra;3D modelování;monokulární data
Keywords in different language: human skeleton;3D modelling;monocular data
Abstract: A novel method which is simple but effective is proposed to estimate human skeleton ratios from 2D uncalibrated monocular data. Unlike the existing skeleton estimation methods where pre-defined models are used or identification of body segments with certain attributes is necessary, the proposed method utilizes only the 2D joint locations as the input source without posture estimation. In addition, the proposed method uses a real perspective camera model instead of the popularly-used scaled orthographic camera model. The proposed method is tested on monocular data from different camera motions and the estimation result is satisfactory. The reconstructed human skeleton model can be used in further research for full body reconstruction or motion reconstruction from monocular data.
Rights: © Václav Skala - UNION Agency
Appears in Collections:WSCG '2006: Short Papers Proceedings

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