发明名称 METHOD FOR RECOGNIZING OBJECT OBTAINED BY MODELING BROADENED-SPECULAR REFLECTION AND LINEAR SUBSPACE
摘要 PROBLEM TO BE SOLVED: To collate an input image of an object such as a human face with object models stored in a database related to a machine and to perform this collation with high accuracy. SOLUTION: The present invention is a method of deriving a reflectance function that analytically approximates light reflected from an object model in terms of the spherical harmonic components of light. The reflectance function depends upon the intensity of light incident at each point on the model, the intensity of the light diffusely reflected, and the intensity of light broadened- specularly reflected in the direction of an observer. This reflectance function is used in the process of machine vision, by allowing a machine to optimize the reflectance function and arrive at an optimal rendered image of the object model, relative to an input image. Therefore, the recognition of an image produced under variable lighting conditions is more robust. The reflectance function of the present invention also has applicability in other fields,( such as computer graphics.
申请公布号 JP2003109005(A) 申请公布日期 2003.04.11
申请号 JP20020096043 申请日期 2002.03.29
申请人 NEC CORP 发明人 JACOBS DAVID;THORNBER KARVEL
分类号 G06T7/00;G06K9/52;G06T15/50;(IPC1-7):G06T7/00 主分类号 G06T7/00
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