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    • 2. 发明授权
    • Method and apparatus for estimating face position in 3 dimensions
    • 用于估计三维面部位置的方法和装置
    • US08805021B2
    • 2014-08-12
    • US13218850
    • 2011-08-26
    • Won Jun HwangJi Hyo LeeKyung Shik RohSuk June Yoon
    • Won Jun HwangJi Hyo LeeKyung Shik RohSuk June Yoon
    • G06K9/00
    • G06K9/00228G06T7/593G06T7/62G06T2207/10012G06T2207/10028G06T2207/10048G06T2207/20081G06T2207/30201
    • An apparatus and method for estimating a three-dimensional face position. The method of estimating the three-dimensional face position includes acquiring two-dimensional image information from a single camera, detecting a face region of a user from the two-dimensional image information, calculating the size of the detected face region, estimating a distance between the single camera and the user's face using the calculated size of the face region, and obtaining positional information of the user's face in a three-dimensional coordinate system using the estimated distance between the single camera and the user's face. Accordingly, it is possible to estimate the distance between the user and the single camera using the size of the face region of the user in the image information acquired by the single camera so as to acquire the three-dimensional position coordinates of the user.
    • 一种用于估计三维脸部位置的装置和方法。 估计三维脸部位置的方法包括从单个照相机获取二维图像信息,从二维图像信息中检测用户的脸部区域,计算检测到的脸部区域的尺寸,估计检测到的脸部区域的距离 使用计算出的面部区域的尺寸的单个照相机和用户的脸部,并且使用单个照相机和用户脸部之间的估计距离来获得三维坐标系中的用户脸部的位置信息。 因此,可以使用由单个照相机获取的图像信息中的用户的脸部区域的大小来估计用户和单个照相机之间的距离,以获得用户的三维位置坐标。
    • 4. 发明授权
    • Method and apparatus for extracting feature vector used for face recognition and retrieval
    • 用于提取用于面部识别和检索的特征向量的方法和装置
    • US07391889B2
    • 2008-06-24
    • US10685002
    • 2003-10-15
    • Hyun-woo KimToshio KameiTae-kyun KimWon-jun HwangSeok-cheol Kee
    • Hyun-woo KimToshio KameiTae-kyun KimWon-jun HwangSeok-cheol Kee
    • G06K9/00
    • G06K9/00275G06K9/00281
    • 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.
    • 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。
    • 6. 发明申请
    • FACE RECOGNITION APPARATUS AND METHOD
    • 脸部识别装置和方法
    • US20120155718A1
    • 2012-06-21
    • US13293459
    • 2011-11-10
    • Won Jun HWANGKyung Shik ROH
    • Won Jun HWANGKyung Shik ROH
    • G06K9/62
    • G06K9/00288G06K9/00281G06K9/4619G06K9/6234G06K9/6297
    • A face recognition apparatus and method. Sub-images having different face sizes are generated using a received face image of a person to be identified. Feature vectors of the sub-images are generated and observation nodes are generated based on the feature vectors. The observation nodes corresponding to the sub-images are compared with stored reference nodes of sub-images of a registered person on a face size by face size basis to calculate similarity scores between the observation nodes and the reference nodes. State nodes are generated based on the respective similarity scores of the face sizes, the observation and state nodes are compared, and the state nodes are compared to perform face recognition. This improves face recognition performance and face recognition speed. Face recognition performance robust to facial expression variation or type information is achieved by performing I-shaped curvature Gabor filtering on a plurality of sub-images based on the eye distance.
    • 人脸识别装置及方法。 使用要识别的人的接收的脸部图像来生成具有不同脸部尺寸的子图像。 生成子图像的特征向量,并且基于特征向量生成观察节点。 将与子图像相对应的观测节点按照面部大小与存储的登记人物的子图像的参考节点进行比较,以计算观察节点和参考节点之间的相似度分数。 基于面部大小的各自的相似度得分来生成状态节点,比较观察和状态节点,并比较状态节点进行面部识别。 这提高了人脸识别性能和人脸识别速度。 通过基于眼睛距离对多个子图像执行I形曲率Gabor滤波来实现对面部表情变化或类型信息的鲁棒性的人脸识别性能。
    • 10. 发明授权
    • Face recognition method and apparatus using component-based face descriptor
    • 使用基于组件的面部描述符的人脸识别方法和装置
    • US07203346B2
    • 2007-04-10
    • US10422777
    • 2003-04-25
    • Hyun-woo KimTae-kyun KimWon-jun HwangSeok-cheol Kee
    • Hyun-woo KimTae-kyun KimWon-jun HwangSeok-cheol Kee
    • G06K9/00
    • G06K9/00275G06K9/00281
    • 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.
    • 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。