公开(公告)号：US07391889B2

公开(公告)日：2008-06-24

申请号：US10685002

申请日：2003-10-15

申请人： Hyun-woo Kim ,  Toshio Kamei ,  Tae-kyun Kim ,  Won-jun Hwang ,  Seok-cheol Kee

发明人： Hyun-woo Kim ,  Toshio Kamei ,  Tae-kyun Kim ,  Won-jun Hwang ,  Seok-cheol Kee

IPC分类号： G06K9/00

CPC分类号： G06K9/00275 ,  G06K9/00281

摘要： A method and apparatus for extracting feature vectors for face recognition and retrieval are provided. An entire Fourier feature vector is generated for an entire face area of a normalized face image using first and second normalized vectors, and a central Fourier feature vector is generated for a central face area of the normalized face image using third and fourth normalized vectors. An entire intensity feature vector is generated for the entire face area, and a local intensity feature vector is generated for a predetermined number of face component-wise areas. An entire composite feature vector is generated by coupling the first and second normalized vectors and the entire intensity feature, and a central composite feature vector is generated by coupling the third and fourth normalized vectors and the local intensity feature vectors.

摘要翻译： 提供了一种用于提取面部识别和检索的特征向量的方法和装置。 使用第一和第二归一化矢量为归一化脸部图像的整个脸部区域生成整个傅里叶特征向量，并且使用第三和第四归一化向量为标准化脸部图像的中心脸部区域生成中央付里叶特征向量。 对于整个面部区域生成整个强度特征向量，并且对于预定数量的面部分面积区域生成局部强度特征向量。 通过耦合第一和第二归一化向量和整个强度特征来生成整个复合特征向量，并且通过耦合第三和第四归一化向量和局部强度特征向量来生成中心复合特征向量。

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：US20090022370A1

公开(公告)日：2009-01-22

申请号：US12078790

申请日：2008-04-04

申请人： Yong-seok Yoo ,  Tae-suh Park ,  Seok-cheol Kee

发明人： Yong-seok Yoo ,  Tae-suh Park ,  Seok-cheol Kee

IPC分类号： G06K9/00

CPC分类号： G06K9/6892 ,  G06T7/254 ,  G06T2207/10016 ,  G06T2207/20072

摘要： A method and apparatus for detecting a meaningful motion. The method of detecting a meaningful motion includes generating a difference image including a plurality of regions each having a sign according to a motion of an input image from a plurality of input images, and by calculating the amount of motion in the difference image based on the sign of each of the regions of the difference image, detecting a meaningful motion of the input image. According to the method and apparatus, a high detection ratio can be maintained, while a false alarm ratio with regard to meaningless motion can be lowered.

摘要翻译： 一种用于检测有意义的运动的方法和装置。 检测有意义的运动的方法包括根据来自多个输入图像的输入图像的运动生成包括多个区域的差分图像，并且通过基于该图像计算差分图像中的运动量， 识别差分图像的每个区域，检测输入图像的有意义的运动。 根据该方法和装置，可以保持高检测率，同时可以降低关于无意义运动的误报率。

公开(公告)号：US07321670B2

公开(公告)日：2008-01-22

申请号：US10699879

申请日：2003-11-04

申请人： Sang-min Yoon ,  Seok-cheol Kee

发明人： Sang-min Yoon ,  Seok-cheol Kee

IPC分类号： G06K9/00

CPC分类号： G06K9/00268

摘要： The present invention relates to a system and method for detecting a face that is capable of quickly and correctly deciding whether an input facial image is occluded, regardless of any type of facial image to be inputted. The present invention is characterized in that eigenvectors and weights are extracted from the input facial image using principal component analysis (PCA) and the extracted eigenvectors and weights of the user image are substituted into a occluding-decision algorithm, whereby it can be determined whether the facial image is occluded.

摘要翻译： 本发明涉及一种用于检测能够快速且正确地判定输入面部图像是否被遮挡的面部的系统和方法，而不管要输入的任何类型的面部图像。 本发明的特征在于，使用主成分分析（PCA）从输入面部图像中提取特征向量和权重，并将所提取的特征向量和用户图像的权重代入闭塞判定算法，由此可以确定是否 面部图像被遮挡。

公开(公告)号：US07203346B2

公开(公告)日：2007-04-10

申请号：US10422777

申请日：2003-04-25

申请人： Hyun-woo Kim ,  Tae-kyun Kim ,  Won-jun Hwang ,  Seok-cheol Kee

发明人： Hyun-woo Kim ,  Tae-kyun Kim ,  Won-jun Hwang ,  Seok-cheol Kee

IPC分类号： G06K9/00

CPC分类号： G06K9/00275 ,  G06K9/00281

摘要： Provided are a face recognition apparatus and method in which a facial image is divided into facial component images. The apparatus includes a component division unit that divides an input facial image into a plurality of facial component images; a face descriptor generating unit that generates face descriptors using a transform matrix corresponding to the respective facial component images, the face descriptors being characteristic vectors; a registered face descriptor database (DB) that stores registered face descriptors; and an authentication unit that authenticates the input facial image by comparing face descriptors for the input facial image input from the face descriptor generating unit with the registered face descriptors and providing predetermined weights corresponding to each facial component to the comparison results of each facial component.

摘要翻译： 提供一种面部识别装置和方法，其中面部图像被分成面部分量图像。 该装置包括：分量单元，其将输入的面部图像分割为多个面部分量图像; 面部描述符生成单元，其使用与各个面部分量图像对应的变换矩阵来生成面部描述符，面部描述符是特征向量; 一个登记的面部描述符数据库（DB），用于存储登记的面部描述符; 以及认证单元，通过将从面部描述符生成单元输入的输入面部图像的面部描述符与登记的面部描述符进行比较，并将与每个面部成分相对应的预定权重与每个面部成分的比较结果进行比较来认证输入面部图像。

公开(公告)号：US07254257B2

公开(公告)日：2007-08-07

申请号：US10377748

申请日：2003-03-04

申请人： Hyun-woo Kim ,  Tae-kyun Kim ,  Seok-cheol Kee ,  Jong-ha Lee ,  Won-jun Hwang

发明人： Hyun-woo Kim ,  Tae-kyun Kim ,  Seok-cheol Kee ,  Jong-ha Lee ,  Won-jun Hwang

IPC分类号： G06K9/00

CPC分类号： G06K9/00281 ,  G06K9/6242 ,  G06K9/6247

摘要： A method and apparatus for recognizing and searching for a face using 2nd-order independent component analysis (ICA) are provided. The method for describing feature points uses 2nd-order ICA d to describe a facial image space and improve recognition performance in various illumination conditions. According to the method and apparatus, use of pose or illumination invariant face descriptor enables retrieval of human faces and authentication of a specific individual.

摘要翻译： 提供了使用二阶独立分量分析（ICA）识别和搜索面部的方法和装置。 描述特征点的方法使用二阶ICA d来描述面部图像空间，并提高各种照明条件下的识别性能。 根据该方法和装置，使用姿态或照明不变面部描述符能够检索人脸和特定个体的认证。

公开(公告)号：US20070160296A1

公开(公告)日：2007-07-12

申请号：US11529350

申请日：2006-09-29

申请人： Jong-ha Lee ,  Gyu-tae Park ,  Seok-cheol Kee

发明人： Jong-ha Lee ,  Gyu-tae Park ,  Seok-cheol Kee

IPC分类号： G06K9/62

CPC分类号： G06K9/00281 ,  G06K9/4619

摘要： A face recognition method and apparatus. The face recognition apparatus includes a Gabor filter unit which obtains a plurality of response values by applying a plurality of Gabor filters having different properties to a plurality of fiducial points extracted from an input face image, a linear discriminant analysis (LDA) unit which obtains first LDA results by performing LDA on each of a plurality of response value groups into which the response values of the plurality of response values are classified, a similarity calculation unit which calculates similarities between the first LDA results and second LDA results obtained by performing LDA on a face image other than the input face image, and a determination unit which classifies the input face image according to the similarities.

摘要翻译： 人脸识别方法和装置。 人脸识别装置包括：Gabor滤波器单元，其通过对从输入面部图像提取的多个基准点应用具有不同性质的多个Gabor滤波器来获得多个响应值;线性判别分析（LDA）单元，其获得第一 通过在对多个响应值的响应值进行分类的多个响应值组中的每个响应值组上执行LDA而得到LDA结果;相似度计算单元，计算第一LDA结果与通过对LDA执行LDA获得的第二LDA结果之间的相似度 除了输入面部图像之外的脸部图像，以及根据相似性对输入面部图像进行分类的确定单元。

公开(公告)号：US20070147683A1

公开(公告)日：2007-06-28

申请号：US11642883

申请日：2006-12-21

申请人： Won-jun Hwang ,  Gyu-tae Park ,  Haitao Wang ,  Seok-cheol Kee

发明人： Won-jun Hwang ,  Gyu-tae Park ,  Haitao Wang ,  Seok-cheol Kee

IPC分类号： G06K9/46 ,  G06K9/66

CPC分类号： G06K9/00281 ,  G06K9/522

摘要： Methods, mediums and systems recognizing a face by extracting features from a facial image. According to the method recognizing the face, multiple subimages of a query facial image and one or more target facial images are generated, Fourier transforms on the multiple subimages are performed, and Fourier features from the multiple subimages are extracted using the Fourier-transformed multiple subimages. A similarity between the Fourier features of the query facial image and the one or more target facial images is measured, and similarities with respect to a plurality of target facial images are calculated. An image having a maximum similarity to the query facial image from the one or more target facial images is selected.

摘要翻译： 方法，媒介和系统通过从面部图像中提取特征来识别脸部。 根据识别面部的方法，生成查询面部图像和一个或多个目标面部图像的多个子图像，执行多个子图像上的傅里叶变换，并且使用傅里叶变换多个子图像提取来自多个子图像的傅里叶特征 。 测量查询面部图像的傅里叶特征与一个或多个目标面部图像之间的相似度，并计算相对于多个目标面部图像的相似度。 选择与一个或多个目标面部图像的查询面部图像最大相似度的图像。

公开(公告)号：US07187786B2

公开(公告)日：2007-03-06

申请号：US10419742

申请日：2003-04-22

申请人： Seok-cheol Kee

发明人： Seok-cheol Kee

IPC分类号： G06K9/00

CPC分类号： G07C9/00158 ,  G06K9/00221

摘要： To reduce degradation of recognition performance due to eye detection errors during face verification and to overcome a problem in that sufficient data to design an optimum feature classifier cannot be obtained during face registration, a method includes shifting the positions of eyes detected during face registration in predetermined directions by a predetermined distance to generate pairs of new coordinate points of the eyes; normalizing a face image on the basis of each pair of new coordinate points of the eyes; using the results of normalization in teaching a feature classifier, thereby coping with eye detection errors. In addition, two threshold values are used to prevent a database from being updated with a face of an unregistered person and to update the database with a normal client's face image that has been used during the latest face verification.

摘要翻译： 为了减少在面部验证期间由于眼睛检测误差导致的识别性能的降低，并且克服了在面部对准期间不能获得足够的数据来设计最佳特征分类器的问题，一种方法包括将在脸部登记期间检测到的眼睛的位置移动到预定的 方向预定距离以产生眼睛的新坐标点对; 根据眼睛的每对新坐标点对脸部图像进行归一化; 使用归一化的结果来教授特征分类器，从而应对眼睛检测误差。 另外，使用两个阈值来防止数据库被未注册的人的面部更新，并且使用在最新的面部验证期间使用的普通客户端的脸部图像来更新数据库。

公开(公告)号：US20070041644A1

公开(公告)日：2007-02-22

申请号：US11455705

申请日：2006-06-20

申请人： Jung-bae Kim ,  Seok-cheol Kee

发明人： Jung-bae Kim ,  Seok-cheol Kee

IPC分类号： G06K9/46

CPC分类号： G06K9/00248

摘要： An apparatus for estimating a facial pose. The apparatus includes a pre-processing module that provides feature points of a subject's face of a received image, and a pose-estimation module that computes sizes of a left half plane and a right half plane of the face from the provided feature points, and a lateral rotation angle of the face from the computed sizes.

摘要翻译： 一种用于估计面部姿势的装置。 该装置包括：预处理模块，其提供被摄体的接收图像的脸部的特征点;以及姿势估计模块，其从所提供的特征点计算面部的左半平面和右半平面的尺寸，以及 从计算出的尺寸的面的横向旋转角度。