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：US20070172099A1

公开(公告)日：2007-07-26

申请号：US11581491

申请日：2006-10-17

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

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

IPC分类号： G06K9/00 ,  G06K9/62 ,  G06K9/68

CPC分类号： G06K9/00281 ,  G06K9/00288 ,  G06K9/6234 ,  G06K2009/4666

摘要： A scalable face recognition method and apparatus using complementary features. The scalable face recognition apparatus includes a multi-analysis unit which analyzes a plurality of features of an input face image using a plurality of feature analysis techniques separately, compares the features of the input face image with a plurality of features of a reference image; and provides similarities as the results of the comparison, a fusion unit which fuses the similarities, and a determination unit which classifies the input face image according to a result of the fusion performed by the fusion unit.

摘要翻译： 一种可扩展的人脸识别方法和使用互补功能的装置。 可扩展人脸识别装置包括多分析单元，其使用多个特征分析技术分别分析输入面部图像的多个特征，将输入面部图像的特征与参考图像的多个特征进行比较; 并且提供与比较结果相似的相似性，融合单元，其融合相似性;以及确定单元，其根据由融合单元进行的融合的结果对输入的面部图像进行分类。

公开(公告)号：US20070160262A1

公开(公告)日：2007-07-12

申请号：US11544643

申请日：2006-10-10

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

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

IPC分类号： G06K9/00

CPC分类号： G06K9/6293

摘要： A score fusion method and apparatus. The score fusion method includes receiving a plurality of scores respectively obtained by a plurality of classifiers, and fusing the received scores using a likelihood ratio. The score fusion apparatus includes a fusion unit which receives a plurality of scores respectively obtained by a plurality of classifiers and fuses the received scores using a likelihood ratio, and a parameter providing unit which provides the fusion unit with a plurality of parameters needed for fusing the received scores.

摘要翻译： 分数融合方法和装置。 所述分数融合方法包括接收由多个分类器分别获得的多个分数，并且使用似然比来融合所接收的分数。 分数融合装置包括：融合单元，其接收由多个分类器分别获得的多个分数，并使用似然比对所接收的分数进行融合;以及参数提供单元，为融合单元提供融合所需的多个参数 收到分数

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：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：US07298931B2

公开(公告)日：2007-11-20

申请号：US10650964

申请日：2003-08-29

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： G06K9/60

CPC分类号： G06F17/30247 ,  G06K9/6857

摘要： An image retrieval method and apparatus using iterative matching are provided. The method comprises: (a) extracting K similar images in order of matching rank by retrieving N reference images stored in an image database through comparison between a query image selected by a user and the reference images; and (b) performing iterative matching for M similar images, which are ranked higher and selected from the K similar images, with a predetermined frequency, and rearranging the matching ranks of the M similar images. According to the method and apparatus, among similar images retrieved by using a query image selected by a user, M similar images that are ranked higher are selected, and by performing iterative matching for the M similar images using the high-ranked similar image, M similar images are rearranged in order of similarity and output. Accordingly, accuracy of the matching can improve greatly and a load to the retrieval engine due to iterative retrieval can be minimized.

摘要翻译： 提供了使用迭代匹配的图像检索方法和装置。 该方法包括：（a）通过比较由用户选择的查询图像和参考图像，通过检索存储在图像数据库中的N个参考图像来提取匹配等级的K个相似图像; 和（b）以预定频率对从K个相似图像中排名较高并且选择的M个相似图像执行迭代匹配，并重新排列M个相似图像的匹配等级。 根据该方法和装置，在通过使用用户选择的查询图像检索的相似图像中，选择M等级更高的相似图像，并且通过使用高排名相似图像对M个相似图像执行迭代匹配，M 类似的图像按照相似性和输出的顺序重新排列。 因此，匹配的准确性可以大大提高，并且可以最小化由于迭代检索引起的对检索引擎的负担。

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：US20090028444A1

公开(公告)日：2009-01-29

申请号：US12002764

申请日：2007-12-19

申请人： Won-Jun Hwang ,  Xiangsheng Huang ,  Seok-cheol Kee

发明人： Won-Jun Hwang ,  Xiangsheng Huang ,  Seok-cheol Kee

IPC分类号： G06K9/62

CPC分类号： G06K9/00281 ,  G06K9/4619 ,  G06K9/6256

摘要： A method, medium, and apparatus with a generated object descriptor using a curvature gabor filter, with complementary object recognition being performed by applying a general gabor filter and a curvature gabor filter having various curvatures, such that the dimension and efficiency of a feature vector can be increased by detecting correlations between features of an object searching for a parameter and its position of an optimal curvature gabor filter through boosting learning, and projecting the extracted features onto a base vector having the highest classification rate.

摘要翻译： 具有使用曲率加布滤波器的生成的对象描述符的方法，介质和装置，通过应用具有各种曲率的通用格子滤波器和曲率加布滤波器来执行互补对象识别，使得特征向量的尺寸和效率可以 通过检测通过增强学习来搜索参数的对象的特征与最佳曲率加布尔滤波器的位置之间的相关性，并将提取的特征投影到具有最高分类率的基本矢量上来增加。

公开(公告)号：US07164781B2

公开(公告)日：2007-01-16

申请号：US10377752

申请日：2003-03-04

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

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

IPC分类号： G06K9/00

CPC分类号： G06K9/6247 ,  G06F19/00 ,  G06K9/00275 ,  G06K9/6242

摘要： A method and apparatus for recognizing and searching for a face using 2nd-order independent component analysis (ICA) are provided. The method includes performing PCA on an input original image and generating a low-pass filtered image by removing high-frequency component from the original image, subtracting the low-pass filtered image from the original image and obtaining residual image having only frequency-components, and performing ICA on the residual image and generating feature information corresponding to the original image. While an original ICA subtracts independent components (i.e., independent basis components) from gray scale images, the proposed 2nd-order ICA is robust to illumination variation since it is applied to make the remaining images correspond to high pass frequency components.

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。 该方法包括在输入原始图像上执行PCA，并通过从原始图像中去除高频分量并从原始图像中减去低通滤波图像并获得仅具有频率分量的残差图像来生成低通滤波图像， 对剩余图像执行ICA并产生与原始图像相对应的特征信息。 虽然原始ICA从灰度图像中减去独立分量（即独立基础分量），但是所提出的二阶ICA对照明变化是鲁棒的，因为它被应用于使剩余的图像对应于高通频率分量。