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GENERATION OF NORMALIZED 2D IMAGERY AND ID SYSTEMS VIA 2D TO 3D LIFTING OF MULTIFEATURED OBJECTS

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

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.
机译:一种从头部的至少一个源2D图像生成目标头部的归一化图像的方法。该方法包括估计目标头部的3D形状,并将通过归一化照明照亮的估计的3D目标头部形状投影到与归一化姿势相对应的图像平面中。目标3D形状的估计涉及搜索3D化身模型库,并且可能包括将源图像中未标记的特征点与模型中的特征点进行匹配,以及使用头部的对称平面。在将源图像作为输入提供给传统2D识别系统之前对其进行规范化可以提高此类系统的准确性,并允许系统在倾斜姿势和非标准源照明条件下有效运行。

著录项

  • 公开/公告号US2010149177A1

    专利类型

  • 公开/公告日2010-06-17

    原文格式PDF

  • 申请/专利权人 MICHAEL I. MILLER;

    申请/专利号US20090509226

  • 发明设计人 MICHAEL I. MILLER;

    申请日2009-07-24

  • 分类号G06T15/00;G06K9/00;

  • 国家 US

  • 入库时间 2022-08-21 18:56:06

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