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公开(公告)号:US08194072B2
公开(公告)日:2012-06-05
申请号:US12732335
申请日:2010-03-26
申请人: Michael J. Jones , Tim Marks , Ritwik Kumar
发明人: Michael J. Jones , Tim Marks , Ritwik Kumar
CPC分类号: G06T15/50 , G06K9/4661
摘要: An image of an object from a known object class is synthesized by first obtaining reflectance fields for various training objects from the object class. A reflectance field model is defined for the object class using a combination of the reflectance fields of the training objects. The parameters of the reflectance field model are optimized to estimate a particular reflectance field of a particular object from the object class given one or more input images of the particular object. The particular reflectance field is fitted to the particular object, and then the new image of the particular object is synthesized by changing the illumination parameters of the particular fitted reflectance field model after the fitting.
摘要翻译: 通过首先从对象类获得各种训练对象的反射场,来合成来自已知对象类的对象的图像。 使用训练对象的反射场的组合,为对象类定义反射场模型。 反射场模型的参数被优化以从给定一个或多个特定对象的输入图像的对象类估计特定对象的特定反射率场。 特定的反射场拟合到特定物体上,然后通过改变拟合后特定拟合反射场模型的照明参数来合成特定物体的新图像。
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公开(公告)号:US20110234590A1
公开(公告)日:2011-09-29
申请号:US12732335
申请日:2010-03-26
申请人: Michael J. Jones , Tim K. Marks , Ritwik Kumar
发明人: Michael J. Jones , Tim K. Marks , Ritwik Kumar
IPC分类号: G06T15/50
CPC分类号: G06T15/50 , G06K9/4661
摘要: An image of an object from a known object class is synthesized by first obtaining reflectance fields for various training objects from the object class. A reflectance field model is defined for the object class using a combination of the reflectance fields of the training objects. The parameters of the reflectance field model are optimized to estimate a particular reflectance field of a particular object from the object class given one or more input images of the particular object. The particular reflectance field is fitted to the particular object, and then the new image of the particular object is synthesized by changing the illumination parameters of the particular fitted reflectance field model after the fitting.
摘要翻译: 通过首先从对象类获得各种训练对象的反射场,来合成来自已知对象类的对象的图像。 使用训练对象的反射场的组合,为对象类定义反射场模型。 反射场模型的参数被优化以从给定一个或多个特定对象的输入图像的对象类估计特定对象的特定反射率场。 特定的反射场拟合到特定物体上,然后通过改变拟合后特定拟合反射场模型的照明参数来合成特定物体的新图像。
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