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1. 发明授权

US08331632B1 Indexing face templates using linear models 有权
标题翻译：使用线性模型索引脸部模板
公开(公告)号：US08331632B1
公开(公告)日：2012-12-11
申请号：US12371099
申请日：2009-02-13
申请人： Pranab Mohanty , Sudeep Sarkar , Rangachar Kasturi , P. Jonathon Phillips
发明人： Pranab Mohanty , Sudeep Sarkar , Rangachar Kasturi , P. Jonathon Phillips
IPC分类号： G06K9/00 , G06K9/62
CPC分类号： G06K9/00288 , G06K9/00926 , G06K9/6251
摘要： A novel, linear modeling method to model a face recognition algorithm based on the match scores produced by the algorithm. Starting with a distance matrix representing the pair-wise match scores between face images, an iterative stress minimization algorithm is used to obtain an embedding of the distance matrix in a low-dimensional space. A linear transformation used to project new face images into the model space is divided into two sub-transformations: a rigid transformation of face images obtained through principal component analysis of face images and a non-rigid transformation responsible for preserving pair-wise distance relationships between face images. Also provided is a linear indexing method using the linear modeling method to perform the binning or algorithm-specific indexing task with little overhead.
摘要翻译：一种基于算法产生的匹配得分的面部识别算法建模的一种新颖的线性建模方法。从表示面部图像之间的成对匹配分数的距离矩阵开始，使用迭代应力最小化算法来获得在低维空间中的距离矩阵的嵌入。用于将新的面部图像投影到模型空间中的线性变换被分为两个子变换：通过面部图像的主成分分析获得的面部图像的刚性变换和负责保持成对的距离关系的非刚性变换脸部图像。还提供了一种使用线性建模方法的线性索引方法，以很少的开销执行分类或特定于算法的索引任务。

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