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1. 发明申请

US20190320974A1 COMPREHENSIVE AND CONTEXT-SENSITIVE NEONATAL PAIN ASSESSMENT SYSTEM AND METHODS USING MULTIPLE MODALITIES 审中-公开
公开(公告)号：US20190320974A1
公开(公告)日：2019-10-24
申请号：US16389513
申请日：2019-04-19
申请人： Ghadh Alzamzmi , Chih-Yun Pai , Dmitry Goldgof , Rangachar Kasturi , Terri Ashmeade , Yu Sun
发明人： Ghadh Alzamzmi , Chih-Yun Pai , Dmitry Goldgof , Rangachar Kasturi , Terri Ashmeade , Yu Sun
IPC分类号： A61B5/00
摘要： A system and method of automatically assessing pediatric and neonatal pain using facial expressions along with crying sounds, body movement, and vital signs change to improve the diagnosis and treatment of pain in the pediatric patient population.

2. 发明授权

US08165352B1 Reconstruction of biometric image templates using match scores 有权
标题翻译：使用匹配分数重建生物特征图像模板
公开(公告)号：US08165352B1
公开(公告)日：2012-04-24
申请号：US12187028
申请日：2008-08-06
申请人： Pranab Mohanty , Sudeep Sarkar , Rangachar Kasturi
发明人： Pranab Mohanty , Sudeep Sarkar , Rangachar Kasturi
IPC分类号： G06K9/00
CPC分类号： G06K9/00288 , G06K9/00926 , G06K9/6251
摘要： A method of reconstructing biometric face image templates of a face recognition system (FRS) using the match scores or distances provided by the FRS. The match scores represent the distance between a image introduced to the FRS and the unknown image template stored in the FRS. The present method uses an affine transformation approximating the unknown algorithm within the FRS and the match scores provided by the FRS to determine the coordinates of the unknown target template. The coordinates of the unknown target template are then applied to a pseudo-inversion of the affine transformation to produce a reconstructed image template of the unknown target. This reconstructed image template can then be used to ‘break-in’ to the FRS.
摘要翻译：使用FRS提供的匹配分数或距离重建面部识别系统（FRS）的生物特征面部图像模板的方法。匹配分数表示引入FRS的图像与存储在FRS中的未知图像模板之间的距离。本方法使用逼近FRS内的未知算法的仿射变换和由FRS提供的匹配分数来确定未知目标模板的坐标。然后将未知目标模板的坐标应用于仿射变换的伪反演，以产生未知目标的重建图像模板。然后可以将该重建的图像模板用于“插入”到FRS。

3. 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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