发明授权
- 专利标题: Iterative data reweighting for balanced model learning
- 专利标题(中): 用于平衡模型学习的迭代数据重新加权
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申请号: US12392820申请日: 2009-02-25
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公开(公告)号: US08204301B2公开(公告)日: 2012-06-19
- 发明人: Jing Xiao , Derek Shiell
- 申请人: Jing Xiao , Derek Shiell
- 申请人地址: JP Tokyo
- 专利权人: Seiko Epson Corporation
- 当前专利权人: Seiko Epson Corporation
- 当前专利权人地址: JP Tokyo
- 主分类号: G06K9/00
- IPC分类号: G06K9/00 ; G06T15/00 ; G06T17/00
摘要:
Aspects of the present invention include systems and methods for forming generative models, for utilizing those models, or both. In embodiments, an object model fitting system can be developed comprising a 3D active appearance model (AAM) model. The 3D AAM comprises an appearance model comprising a set of subcomponent appearance models that is constrained by a 3D shape model. In embodiments, the 3D AAM may be generated using a balanced set of training images. The object model fitting system may further comprise one or more manifold constraints, one or more weighting factors, or both. Applications of the present invention include, but are not limited to, modeling and/or fitting face images, although the teachings of the present invention can be applied to modeling/fitting other objects.
公开/授权文献
- US20100215255A1 Iterative Data Reweighting for Balanced Model Learning 公开/授权日:2010-08-26
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