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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/75798

    Title: A Coordinate Transformation System Based on the Human Feature Information
    Authors: Chang, Shih-ming;TSai, Joseph;Shih, Timothy K.;Hsu, Hui-huang
    Contributors: 淡江大學訊工程學系
    Keywords: SURF;feature points match;object skeleton
    Date: 2011-01
    Issue Date: 2012-04-16 09:37:02 (UTC+8)
    Publisher: Springer-Verlag Berlin Heidelberg
    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.
    Relation: Proceedings of the 17th International Conference on Multimedia Modeling (MMM 2011), Lecture Notes in Computer Science 6523, pp.514-524
    DOI: 10.1007/978-3-642-17832-0_48
    Appears in Collections:[Graduate Institute & Department of Computer Science and Information Engineering] Proceeding

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