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。

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：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：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：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：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：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：US20080199055A1

公开(公告)日：2008-08-21

申请号：US11896300

申请日：2007-08-30

申请人： Jong-ha Lee ,  Jung-bae Kim ,  Young-su Moon ,  Gyu-tae Park ,  Won-jun Hwang

发明人： Jong-ha Lee ,  Jung-bae Kim ,  Young-su Moon ,  Gyu-tae Park ,  Won-jun Hwang

IPC分类号： G06K9/00

CPC分类号： G06K9/00281 ,  G06K9/4619

摘要： Provided are a method and apparatus for extracting facial features from an image containing a face. The method and apparatus filter an input image using a filter set for face recognition at each of predetermined locations in the input image, merge values obtained by filtering the input image at locations, which are horizontally symmetrical to each other with respect to the center of the face, and synthesize values obtained by filtering the input image at locations which are not symmetrical to each other with respect to the center of the face with the merged values. Therefore, the time, feature values, and storage space required to extract or compare facial features can be significantly reduced. In addition, a face recognition system that runs well on low specification hardware can be implemented.

摘要翻译： 提供了一种从包含脸部的图像中提取面部特征的方法和装置。 该方法和装置使用输入图像中的每个预定位置处的用于人脸识别的滤波器对输入图像进行滤波，将通过对输入图像进行滤波而获得的合并值相对于 并且合成通过以合并的值相对于面部的中心彼此不对称的位置对输入图像进行滤波而获得的值。 因此，可以显着减少提取或比较面部特征所需的时间，特征值和存储空间。 另外，可以实现在低规格硬件上运行良好的人脸识别系统。

公开(公告)号：US08111880B2

公开(公告)日：2012-02-07

申请号：US11896300

申请日：2007-08-30

申请人： Jong-ha Lee ,  Jung-bae Kim ,  Young-su Moon ,  Gyu-tae Park ,  Won-jun Hwang

发明人： Jong-ha Lee ,  Jung-bae Kim ,  Young-su Moon ,  Gyu-tae Park ,  Won-jun Hwang

IPC分类号： G06K9/00 ,  G06K9/46 ,  G06K9/40

CPC分类号： G06K9/00281 ,  G06K9/4619

摘要： Provided are a method and apparatus for extracting facial features from an image containing a face. The method and apparatus filter an input image using a filter set for face recognition at each of predetermined locations in the input image, merge values obtained by filtering the input image at locations, which are horizontally symmetrical to each other with respect to the center of the face, and synthesize values obtained by filtering the input image at locations which are not symmetrical to each other with respect to the center of the face with the merged values. Therefore, the time, feature values, and storage space required to extract or compare facial features can be significantly reduced. In addition, a face recognition system that runs well on low specification hardware can be implemented.

摘要翻译： 提供了一种从包含脸部的图像中提取面部特征的方法和装置。 该方法和装置使用输入图像中的每个预定位置处的用于人脸识别的滤波器对输入图像进行滤波，将通过对输入图像进行滤波而获得的合并值相对于 并且合成通过以合并的值相对于面部的中心彼此不对称的位置对输入图像进行滤波而获得的值。 因此，可以显着减少提取或比较面部特征所需的时间，特征值和存储空间。 另外，可以实现在低规格硬件上运行良好的人脸识别系统。

公开(公告)号：US20080144891A1

公开(公告)日：2008-06-19

申请号：US11882714

申请日：2007-08-03

申请人： Won-jun Hwang ,  Eui-hyeon Hwang ,  Young-su Moon ,  Gyu-Tae Park

发明人： Won-jun Hwang ,  Eui-hyeon Hwang ,  Young-su Moon ,  Gyu-Tae Park

IPC分类号： G06K9/00

CPC分类号： G06K9/00268

摘要： A method and apparatus for calculating a similarity of a face image, a method and apparatus for retrieving a face image by using the calculation method and apparatus, and a method of synthesizing a face image are provided. According to the methods and apparatuses, by separately calculating a holistic similarity of a face image based on a holistic feature of the face image, and a local similarity of a face image based on local features of the face image, and adding the calculated similarity results according to weights, thereby calculating the similarity between compared face images, the similarity calculation result of the face considering both the holistic feature and local features of the face image can be obtained, thereby improving reliability of the face image similarity calculation and lowering complexity of the calculation.

摘要翻译： 提供了一种通过使用计算方法和装置来计算面部图像的相似度的方法和装置，用于检索面部图像的方法和装置，以及合成面部图像的方法。 根据该方法和装置，通过基于面部图像的整体特征单独计算面部图像的整体相似度和基于面部图像的局部特征的面部图像的局部相似度，并且将计算的相似度结果相加 根据权重，从而计算比较的面部图像之间的相似度，可以获得考虑面部图像的整体特征和局部特征的面部的相似度计算结果，从而提高面部图像相似度计算的可靠性并降低 计算。