Fast Human Pose Retrieval Using Approximate Chamfer Distance (特集:電気関係学会東海支部連合大会) Fast Human Pose Retrieval Using Approximate Chamfer Distance

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The estimation of 3D human pose from a single image can be implemented in the way of large-scale image retrieval. For a given input image, a few similar images are retrieved from the database consisting of human figure images annotated with 3D human poses; then the 3D poses corresponding to retrieved images serve as the pose estimates. This method is simple but works if two conditions are met: (i) sufficient data and (ii) a good image matching algorithm. Sufficient data can be generated by using 3D character rendering software and various human motion data. As for matching algorithm, here we employ the chamfer distance which has proved to be an effective tool in many related works. However, applying the chamfer distance to large-scale problem would lead to high time requirements. Thus, here we propose an efficient approximate chamfer distance which uses the subspace representation of Distance Transform (DT) in computing chamfer distance so that the major computation can be done offline. We show in experiments that the approximate chamfer distance achieved competitive estimation performance but over three hundred times speedup gain in comparison with the exact chamfer distance.

収録刊行物

  • 電気学会論文誌. C, 電子・情報・システム部門誌 = The transactions of the Institute of Electrical Engineers of Japan. C, A publication of Electronics, Information and System Society  

    電気学会論文誌. C, 電子・情報・システム部門誌 = The transactions of the Institute of Electrical Engineers of Japan. C, A publication of Electronics, Information and System Society 126(12), 1490-1496, 2006-12-01 

    The Institute of Electrical Engineers of Japan

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各種コード

  • NII論文ID(NAID)
    10018402982
  • NII書誌ID(NCID)
    AN10065950
  • 本文言語コード
    ENG
  • 資料種別
    ART
  • ISSN
    03854221
  • NDL 記事登録ID
    8593358
  • NDL 雑誌分類
    ZN31(科学技術--電気工学・電気機械工業)
  • NDL 請求記号
    Z16-795
  • データ提供元
    CJP書誌  NDL  J-STAGE 
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