reconstructing articulated shape of human hand and its skeletal structure from scanning
Project/Area Number |
23700231
|
Research Category |
Grant-in-Aid for Young Scientists (B)
|
Allocation Type | Multi-year Fund |
Research Field |
Perception information processing/Intelligent robotics
|
Research Institution | Kyoto University |
Principal Investigator |
FUNATOMI Takuya 京都大学, 学術情報メディアセンター, 助教 (20452310)
|
Project Period (FY) |
2011 – 2013
|
Project Status |
Completed (Fiscal Year 2013)
|
Budget Amount *help |
¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2013: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2012: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2011: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
|
Keywords | ディジタルヒューマンモデル / 手 / 姿勢操作 / 形状計測 / 三次元モデリング / コンピュータビジョン / 知能ロボティックス / 3次元形状計測 / 画像処理 |
Research Abstract |
We proposed a method of reconstructing posable human hand model by observing 3D shape of an individual hand in various postures. We assumed that a human hand consists of 18 rigid components and tried to model the residuals as non-rigid deformation of the components. Our technology recovers the 3D shape of each component from the observations. As for pose manipulation, our technology estimates a skeleton which aligns the components according to the sensor data of a data-glove. As a result, we could reconstruct a realistic human hand model and manipulate its posture via data-glove.
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Report
(4 results)
Research Products
(15 results)