公开(公告)号：US20060110014A1

公开(公告)日：2006-05-25

申请号：US10538093

申请日：2003-12-10

申请人： Vasanth Philomin ,  Srinivas Guita ,  Miroslav Trajkovic

发明人： Vasanth Philomin ,  Srinivas Guita ,  Miroslav Trajkovic

IPC分类号： G06K9/00 ,  G06K9/46 ,  G06K9/62

CPC分类号： G06K9/00288

摘要： An identification and/or verification system which has improved accuracy when the expression on the face of the captured image is different than the expression on the face of the stored image. One or more images of a person are captured. The expressive facial features of the captured image are located. The system then compares the expressive facial features to the expressive facial features of the stored image. If there is no match then the locations of the non-matching expressive facial feature in the captured image are stored. These locations are then removed from the overall comparison between the captured image and the stored image. Removing these locations from the subsequent comparison of the entire image reduces false negatives that result from a difference in the facial expressions of the captured image and a matching stored image.

摘要翻译： 当捕获的图像的表情上的表达与存储的图像的表面上的表达不同时，其精度提高的识别和/或验证系统。 捕获一个人的一个或多个图像。 拍摄的图像的表情面部特征位于。 然后，该系统将表现的面部特征与存储的图像的表现性面部特征进行比较。 如果没有匹配，则存储捕获图像中不匹配的表现面部特征的位置。 然后从捕获的图像和存储的图像之间的总体比较中去除这些位置。 从整个图像的后续比较中移除这些位置减少了由捕获图像的面部表情和匹配的存储图像之间的差异导致的假阴性。

公开(公告)号：US20060251327A1

公开(公告)日：2006-11-09

申请号：US10539692

申请日：2003-12-17

申请人： Miroslav Trajkovic ,  Srinivas Guita ,  Vasanth Philomin

发明人： Miroslav Trajkovic ,  Srinivas Guita ,  Vasanth Philomin

IPC分类号： G06K9/62

CPC分类号： G06K9/00275 ,  G06K9/00221 ,  G06K9/00288

摘要： Random sample subsets are selected from an image. The RANSAC algorithm is used to perform robust matching between the samples of a captured image and like samples of stored images. By selecting enough samples the likelihood that all samples will be affected by lighting changes is less and therefore it is more likely that a match will be found even in the case of different lighting in the captured image than the stored images. Additionally a weighted sampling technique is used which selects samples based on likelihood of being affected by lighting changes.

摘要翻译： 从图像中选择随机样本子集。 RANSAC算法用于在捕获的图像的样本和类似的存储图像样本之间执行鲁棒匹配。 通过选择足够的样本，所有样本将受到照明变化的影响的可能性较小，因此即使在拍摄图像中的不同照明情况下，与存储的图像相比，也可能发现匹配。 此外，使用加权采样技术，其基于受照明变化影响的可能性来选择样本。