Project/Area Number |
20700158
|
Research Category |
Grant-in-Aid for Young Scientists (B)
|
Allocation Type | Single-year Grants |
Research Field |
Perception information processing/Intelligent robotics
|
Research Institution | Osaka University |
Principal Investigator |
NAKAZAWA Atsushi Osaka University, サイバーメディアセンター, 講師 (20362593)
|
Project Period (FY) |
2008 – 2009
|
Project Status |
Completed (Fiscal Year 2009)
|
Budget Amount *help |
¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2009: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2008: ¥3,120,000 (Direct Cost: ¥2,400,000、Indirect Cost: ¥720,000)
|
Keywords | モーションキャプチャ / マーカーレス / 姿勢推定 / ボリュームデータ / コンピュータビジョン / ビジョンモーションキャプチャ / 画像認識 / 人体姿勢 |
Research Abstract |
We propose a novel example based marker free motion capture method. First, volume data of actor's body and its skeleton are obtained from multiple camera views at each frame through visual hull based method and thinning process. Then, examining the structure of the skeleton, we can acquire an attributed graph. By using a two-step graph matching algorithm with many example topological graphs, correspondences between body parts and skeleton parts are obtained. Finally, we estimate the position of the joints examining the curvature of the skeleton. The experiment result shows the validity our approach.
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