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GENERATION OF NORMALIZED 2D IMAGERY AND ID SYSTEMS VIA 2D TO 3D LIFTING OF MULTIFEATURED OBJECTS
GENERATION OF NORMALIZED 2D IMAGERY AND ID SYSTEMS VIA 2D TO 3D LIFTING OF MULTIFEATURED OBJECTS
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机译:通过2D到3D提升多特征对象生成标准化的2D图像和ID系统
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摘要
A method of generating a normalized image of a target head from at least one source 2D image of the head. The method involves estimating a 3D shape of the target head and projecting the estimated 3D target head shape lit by normalized lighting into an image plane corresponding to a normalized pose. The estimation of the 3D shape of the target involves searching a library of 3D avatar models, and may include matching unlabeled feature points in the source image to feature points in the models, and the use of a head's plane of symmetry. Normalizing source imagery before providing it as input to traditional 2D identification systems enhances such systems' accuracy and allows systems to operate effectively with oblique poses and non-standard source lighting conditions.
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