A coordinate transformation system based on the human feature information

Authors:
Shih-Ming Chang;Joseph Tsai;Timothy K. Shih;Hui-Huang Hsu
Affiliations:
Department of Computer Science and Information Engineering, Tamkang University, Taipei County, Taiwan;Department of Computer Science and Information Engineering, Tamkang University, Taipei County, Taiwan;Department of Computer Science and Information Engineering, National Central University, Taoyuan County, Taiwan;Department of Computer Science and Information Engineering, Tamkang University, Taipei County, Taiwan
Venue:
MMM'11 Proceedings of the 17th international conference on Advances in multimedia modeling - Volume Part I
Year:
2011

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Abstract

In this paper, we propose a method to find feature in human object that used SURF algorithm, and use this information into 3D coordinate that use coordinate system transformation. In our method, first we use thinning algorithm to obtained skeleton of object, and find the endpoints in skeleton. In the second step, we try to use those endpoints to cluster skeleton, and the part number of cluster is six. Then, to cluster human object that use cluster skeleton result. Third, we use SURF algorithm to find the feature in each part in the cluster object image. In this step, we also use SAD method to ensure are correct of feature points that after SURF algorithm treatment. Finally we use the coordinate system transformation method. In this step, we use image coordinate system into world coordinate system, and show those result in our experiments result.