发明名称 |
PARAMETERIZED MODEL OF 2D ARTICULATED HUMAN SHAPE |
摘要 |
A novel "contour person" (CP) model of the human body is proposed that has the expressive power of a detailed 3D model and the computational benefits of a simple 20 part-based model. The CP model is learned from a 3D model of the human body that captures natural shape and pose variations. The CP model factors deformations of the body into three components: shape variation, viewpoint change and pose variation. The CP model can be "dressed" with a low-dimensional clothing model. The clothing is represented as a deformation from the underlying CP representation. This deformation is learned from training examples using principal component analysis to produce so-called eigen-clothing. The coefficients of the eigen-clothing can be used to recognize different categories of clothing on dressed people. The parameters of the estimated 20 body can be used to discriminatively predict 3D body shape using a learned mapping approach.
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申请公布号 |
US2013249908(A1) |
申请公布日期 |
2013.09.26 |
申请号 |
US201113696676 |
申请日期 |
2011.06.08 |
申请人 |
BLACK MICHAEL J.;FREIFELD OREN;WEISS ALEXANDER W.;LOPER MATTHEW M.;GUAN PENG |
发明人 |
BLACK MICHAEL J.;FREIFELD OREN;WEISS ALEXANDER W.;LOPER MATTHEW M.;GUAN PENG |
分类号 |
G06T17/20 |
主分类号 |
G06T17/20 |
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