公开(公告)号：US20080166026A1

公开(公告)日：2008-07-10

申请号：US11882442

申请日：2007-08-01

申请人： Xiangsheng Huang ,  Won-jun Hwang ,  Jiali Zhao ,  Young-su Moon ,  Gyu-tae Park

发明人： Xiangsheng Huang ,  Won-jun Hwang ,  Jiali Zhao ,  Young-su Moon ,  Gyu-tae Park

IPC分类号： G06K9/00

CPC分类号： G06K9/00281

摘要： A face descriptor generating method and apparatus and face recognition method and apparatus using extended local binary pattern (LBP) are provided.Since LBP features are selected by performing a supervised learning process on the extended LBP features and the selected extended LBP features are used in face recognition, it is possible to reduce errors in face recognition or identity verification and to increase face recognition efficiency. In addition, the extended LBP features are used so that it is possible to overcome the problem of time-consumption of the process.

摘要翻译： 提供了使用扩展局部二进制模式（LBP）的面部描述符生成方法和装置以及面部识别方法和装置。 由于通过对扩展的LBP特征执行监督学习处理来选择LBP特征，并且所选择的扩展LBP特征用于人脸识别，可以减少面部识别或身份验证中的错误并增加面部识别效率。 此外，使用扩展的LBP特征，使得可以克服该过程的时间消耗的问题。

公开(公告)号：US07711181B2

公开(公告)日：2010-05-04

申请号：US11168346

申请日：2005-06-29

申请人： Seokcheol Kee ,  Haibing Ren ,  Jiali Zhao

发明人： Seokcheol Kee ,  Haibing Ren ,  Jiali Zhao

IPC分类号： G06K9/00

CPC分类号： G06K9/00288 ,  G06K9/00201 ,  G06K9/20 ,  G06K2209/40 ,  G06T7/593

摘要： There is provided a method of estimating disparity for 3D object recognition. The method includes obtaining a plurality of images having different resolutions for the stereo image, estimating a disparity map for a lowest-resolution level image, estimating a coarse disparity map for an upper resolution level image by using the disparity, obtaining a fine disparity map for the upper resolution level image by using the coarse disparity, and outputting the fine disparity map as a final disparity map for the stereo image if the upper resolution level image has a resolution of a highest level.

摘要翻译： 提供了一种估计3D物体识别差异的方法。 该方法包括：获取对于立体图像具有不同分辨率的多个图像，估计最低分辨率水平图像的视差图，通过使用视差来估计上分辨率水平图像的粗视差图，获得精细视差图， 通过使用粗略视差来分辨高分辨率级别图像，并且如果高分辨率级别图像具有最高级别的分辨率，则将精细视差图输出作为立体图像的最终视差图。

公开(公告)号：US20060115161A1

公开(公告)日：2006-06-01

申请号：US11288267

申请日：2005-11-29

申请人： Seokcheol Kee ,  Dejun Wang ,  Jiali Zhao

发明人： Seokcheol Kee ,  Dejun Wang ,  Jiali Zhao

IPC分类号： G06K9/46

CPC分类号： G06K9/00248 ,  G06K9/6206 ,  G06K9/6857

摘要： A face detection method and apparatus using a level-set method. The method includes: laying a first initial shape model over a face image; evolving shape curves of the first initial shape model using the level-set method; detecting first through M-th neighboring boundary points that neighbor first through M-th initial boundary points of the first initial shape model, and that neighbor the evolved shape curves, M being a positive integer larger than 1; laying a modified shape model rendered using the detected first through M-th neighboring boundary points over the face image; detecting a rotation angle of the modified shape model; determining whether the detected rotation angle of the modified shape model is within a predetermined angle range; and selecting one of a second initial shape model, which is rotated to the left, or a third initial shape model, which is rotated to the right, according to the detected rotation angle, and laying the selected initial shape model over the face image, and returning to the detecting of the first through M-th neighboring boundary points, when the detected rotation angle of the modified shape model is outside the predetermined angle range.

摘要翻译： 一种使用水平仪方法的人脸检测方法和装置。 该方法包括：在面部图像上放置第一初始形状模型; 使用水平集方法演化第一初始形状模型的形状曲线; 首先检测通过第一初始形状模型的第M个初始边界点相邻的第M个相邻边界点，以及相邻的演化形状曲线，M是大于1的正整数; 设置使用所检测的第一至第M相邻边界点在面部图像上呈现的修改后的形状模型; 检测修改后的形状模型的旋转角度; 确定所检测到的所述修改的形状模型的旋转角度是否在预定角度范围内; 以及根据所检测的旋转角度选择向左旋转的第二初始形状模型或向右旋转的第三初始形状模型中的一个，以及将所选择的初始形状模型放置在面部图像上， 并且当检测到的修正形状模型的旋转角度超出预定角度范围时，返回到第一至第M相邻边界点的检测。

公开(公告)号：US20060013509A1

公开(公告)日：2006-01-19

申请号：US11168346

申请日：2005-06-29

申请人： Seokcheol Kee ,  Haibing Ren ,  Jiali Zhao

发明人： Seokcheol Kee ,  Haibing Ren ,  Jiali Zhao

IPC分类号： G06K9/20

CPC分类号： G06K9/00288 ,  G06K9/00201 ,  G06K9/20 ,  G06K2209/40 ,  G06T7/593

摘要： There is provided a method of estimating disparity for 3D object recognition. The method includes obtaining a plurality of images having different resolutions for the stereo image, estimating a disparity map for a lowest-resolution level image, estimating a coarse disparity map for an upper resolution level image by using the disparity, obtaining a fine disparity map for the upper resolution level image by using the coarse disparity, and outputting the fine disparity map as a final disparity map for the stereo image if the upper resolution level image has a resolution of a highest level.

摘要翻译： 提供了一种估计3D对象识别差异的方法。 该方法包括：获取对于立体图像具有不同分辨率的多个图像，估计最低分辨率水平图像的视差图，通过使用视差来估计上分辨率水平图像的粗视差图，获得精细视差图， 通过使用粗略视差来分辨高分辨率级别图像，并且如果高分辨率级别图像具有最高级别的分辨率，则将精细视差图输出作为立体图像的最终视差图。

公开(公告)号：US07715659B2

公开(公告)日：2010-05-11

申请号：US10893346

申请日：2004-07-19

申请人： Jiali Zhao ,  Dejun Wang ,  Haibing Ren ,  Seokcheol Kee

发明人： Jiali Zhao ,  Dejun Wang ,  Haibing Ren ,  Seokcheol Kee

IPC分类号： G06K9/54

CPC分类号： G06K9/00248 ,  G06K9/00288

摘要： An apparatus for and method of performing a most informative feature extraction (MIFE) method in which a facial image is separated into sub-regions, and each sub-region makes individual contribution for performing facial recognition. Specifically, each sub-region is subjected to a sub-region based adaptive gamma (SadaGamma) correction or sub-region based histogram equalization (SHE) in order to account for different illuminations and expressions. A set of reference images is also divided into sub-regions and subjected to the SadaGamma correction or SHE. A comparison is made between the each corrected sub-region and each corresponding sub-region of the reference images. Based upon the comparisons made individually for the sub-regions of the facial image, one of the stored reference images having the greatest correspondence is chosen. While usable individually, using the MIFE and/or SadaGamma correction or SHE together achieves a lower error ratio in face recognition under different expressions, illuminations and occlusions.

摘要翻译： 一种用于执行其中将面部图像分成子区域的最具信息特征提取（MIFE）方法的装置和方法，并且每个子区域对进行面部识别作出个人贡献。 具体地说，为了解决不同的照明和表达，每个子区域经历基于子区域的自适应伽马（SadaGamma）校正或基于子区域的直方图均衡（SHE）。 一组参考图像也被划分成子区域并进行SadaGamma校正或SHE。 在每个校正子区域和参考图像的每个相应子区域之间进行比较。 基于针对面部图像的子区域的单独比较，选择具有最大对应关系的所存储的参考图像之一。 虽然可以单独使用，但使用MIFE和/或SadaGamma校正或SHE一起可以在不同表达，照明和遮挡下的脸部识别中实现较低的误差比。

公开(公告)号：US08219571B2

公开(公告)日：2012-07-10

申请号：US11708558

申请日：2007-02-21

申请人： Haibing Ren ,  Seok-cheol Kee ,  Haitao Wang ,  Jiali Zhao

发明人： Haibing Ren ,  Seok-cheol Kee ,  Haitao Wang ,  Jiali Zhao

IPC分类号： G06F17/30

CPC分类号： G06F17/30271 ,  G06K9/6292

摘要： Provided are an object verification apparatus and method. The object verification apparatus includes a matching unit performing a plurality of different matching algorithms on a query image and generating a plurality of scores; a score normalization unit normalizing each of the generated scores to be adaptive to the query image; a weight estimation unit estimating weights of the normalized scores based on the respective matching algorithms applied; and a score fusion unit fusing the normalized scores by respectively applying the weights estimated by the weight estimation unit to the normalized scores.

摘要翻译： 提供了一种对象验证装置和方法。 对象验证装置包括对查询图像执行多个不同匹配算法并生成多个分数的匹配单元; 将所生成的分数的每一个标准化为适应于所述查询图像的分数归一化单元; 权重估计单元，基于所应用的各个匹配算法估计归一化分数的权重; 以及分数融合单元，通过将由所述权重估计单元估计的权重分别应用于所述归一化分数来使所述归一化分数融合。

公开(公告)号：US07697736B2

公开(公告)日：2010-04-13

申请号：US11288267

申请日：2005-11-29

申请人： Seokcheol Kee ,  Dejun Wang ,  Jiali Zhao

发明人： Seokcheol Kee ,  Dejun Wang ,  Jiali Zhao

IPC分类号： G06K9/00

CPC分类号： G06K9/00248 ,  G06K9/6206 ,  G06K9/6857

摘要： A face detection method and apparatus using a level-set method. The method includes: laying a first initial shape model over a face image; evolving shape curves of the first initial shape model using the level-set method; detecting first through M-th neighboring boundary points that neighbor first through M-th initial boundary points of the first initial shape model, and that neighbor the evolved shape curves, M being a positive integer larger than 1; laying a modified shape model rendered using the detected first through M-th neighboring boundary points over the face image; detecting a rotation angle of the modified shape model; determining whether the detected rotation angle of the modified shape model is within a predetermined angle range; and selecting one of a second initial shape model, which is rotated to the left, or a third initial shape model, which is rotated to the right, according to the detected rotation angle, and laying the selected initial shape model over the face image, and returning to the detecting of the first through M-th neighboring boundary points, when the detected rotation angle of the modified shape model is outside the predetermined angle range.

摘要翻译： 一种使用水平仪方法的人脸检测方法和装置。 该方法包括：在面部图像上放置第一初始形状模型; 使用水平集方法演化第一初始形状模型的形状曲线; 首先检测通过第一初始形状模型的第M个初始边界点相邻的第M个相邻边界点，以及相邻的演化形状曲线，M是大于1的正整数; 设置使用所检测的第一至第M相邻边界点在面部图像上呈现的修改后的形状模型; 检测修改后的形状模型的旋转角度; 确定所检测到的所述修改的形状模型的旋转角度是否在预定角度范围内; 以及根据所检测的旋转角度选择向左旋转的第二初始形状模型或向右旋转的第三初始形状模型中的一个，以及将所选择的初始形状模型放置在面部图像上， 并且当检测到的修正形状模型的旋转角度超出预定角度范围时，返回到第一至第M相邻边界点的检测。

公开(公告)号：US07558763B2

公开(公告)日：2009-07-07

申请号：US11454913

申请日：2006-06-19

申请人： Jiali Zhao ,  Seokcheol Kee ,  Haitao Wang ,  Haibing Ren ,  Wonjun Hwang

发明人： Jiali Zhao ,  Seokcheol Kee ,  Haitao Wang ,  Haibing Ren ,  Wonjun Hwang

IPC分类号： G06F15/18

CPC分类号： G06K9/00281 ,  G06K9/00275 ,  G06K2009/4666

摘要： A image verification method, medium, and apparatus using a local binary pattern (LBP) discriminant technique. The verification method includes generating a kernel fisher discriminant analysis (KFDA) basis vector by using the LBP feature of an input image, obtaining a Chi square inner product by using the LBP feature of an image registered in advance and a kernel LBP feature and projecting to a KFDA basis vector, obtaining a Chi square inner product by using the LBP feature of a query image and a kernel LBP feature and projecting to a KFDA basis vector, and obtaining the similarity degree of the target image and the query image that are obtained as Chi square inner product results, and projected to the KFDA basis vector. According to the method, medium, and apparatus, the KFDA based LBP shows superior performance over conventional LBP, KFDA, and biometric experimentation environment (BEE) baseline algorithms.

摘要翻译： 一种使用局部二值模式（LBP）判别技术的图像验证方法，介质和装置。 验证方法包括通过使用输入图像的LBP特征来生成内核渔夫判别分析（KFDA）基向量，通过使用预先登记的图像的LBP特征和核LBP特征来获得奇方内积，并且投影到 KFDA基矢量，通过使用查询图像的LBP特征和内核LBP特征获得奇方内积，并且投影到KFDA基向量，并且获得被获得的目标图像和查询图像的相似度 Chi Square内部产品成果，并预计以KFDA为基础。 根据该方法，介质和装置，基于KFDA的LBP显示出优于常规LBP，KFDA和生物测定实验环境（BEE）基线算法的性能。

公开(公告)号：US07280434B2

公开(公告)日：2007-10-09

申请号：US11089213

申请日：2005-03-25

申请人： Dejun Wang ,  Jiali Zhao ,  Seokcheol Kee

发明人： Dejun Wang ,  Jiali Zhao ,  Seokcheol Kee

IPC分类号： G01S3/80

CPC分类号： G01S5/18 ,  G01S5/0294

摘要： A global localization apparatus, medium, and method, with the global localization method including selecting one from a plurality of samples and shifting the selected sample according to a movement of a robot, generating a new sample within a predetermined range of the shifted sample, determining either the shifted sample or the new sample as a next sample at a next time step according to a predetermined condition for the shifted sample and the next sample, repeating for all the samples, and estimating a next position of the robot according to positions of the next samples when the number of next samples is equal to or larger than the maximum number of samples.

摘要翻译： 一种全局定位装置，介质和方法，其具有全局定位方法，包括从多个采样中选择一个并根据机器人的移动移动所选择的样本，在移位样本的预定范围内生成新样本，确定 根据移动的样本和下一个样本的预定条件，在下一个时间步长中将移位样本或新样本作为下一个样本，对于所有样本重复，并根据所述样本的位置估计机器人的下一个位置 当下一个样本的数量等于或大于最大样本数时的下一个样本。

公开(公告)号：US20050213431A1

公开(公告)日：2005-09-29

申请号：US11089213

申请日：2005-03-25

申请人： Dejun Wang ,  Jiali Zhao ,  Seokcheol Kee

发明人： Dejun Wang ,  Jiali Zhao ,  Seokcheol Kee

IPC分类号： G05D1/02 ,  G01S5/02 ,  G01S5/18 ,  G01S19/44 ,  G01S19/46 ,  G01S3/80

CPC分类号： G01S5/18 ,  G01S5/0294

摘要： A global localization apparatus, medium, and method, with the global localization method including selecting one from a plurality of samples and shifting the selected sample according to a movement of a robot, generating a new sample within a predetermined range of the shifted sample, determining either the shifted sample or the new sample as a next sample at a next time step according to a predetermined condition for the shifted sample and the next sample, repeating for all the samples, and estimating a next position of the robot according to positions of the next samples when the number of next samples is equal to or larger than the maximum number of samples.

摘要翻译： 一种全局定位装置，介质和方法，其具有全局定位方法，包括从多个采样中选择一个并根据机器人的移动移动所选择的样本，在移位样本的预定范围内生成新样本，确定 根据移动的样本和下一个样本的预定条件，在下一个时间步长中将移位样本或新样本作为下一个样本，对于所有样本重复，并根据所述样本的位置估计机器人的下一个位置 当下一个样本的数量等于或大于最大样本数时的下一个样本。