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1. 发明授权

US07254257B2 Method and apparatus of recognizing face using component-based 2nd-order principal component analysis (PCA)/independent component analysis (ICA) 有权
标题翻译：使用基于组件的二阶主成分分析（PCA）/独立分量分析（ICA）识别面部的方法和装置
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。

2. 发明授权

US07164781B2 Method and apparatus of recognizing face using 2nd-order independent component analysis (ICA)/principal component analysis (PCA) 有权
标题翻译：使用二阶独立分量分析（ICA）/主成分分析（PCA）识别面部的方法和装置
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。

3. 发明申请

US20070172099A1 Scalable face recognition method and apparatus based on complementary features of face image 审中-公开
标题翻译：基于面部图像互补特征的可扩展人脸识别方法和装置
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。

4. 发明申请

US20070160296A1 Face recognition method and apparatus 审中-公开
标题翻译：人脸识别方法和装置
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。

5. 发明申请

US20070160262A1 Score fusion method and apparatus 审中-公开
标题翻译：分数融合方法和仪器
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

6. 发明授权

US07346189B2 Illumination-invariant object tracking method and image editing system using the same 有权
标题翻译：照明不变物体跟踪方法和图像编辑系统使用相同
公开(公告)号：US07346189B2
公开(公告)日：2008-03-18
申请号：US11514968
申请日：2006-09-05
申请人： Tae-kyun Kim , In-myung Cho , Jong-ha Lee
发明人： Tae-kyun Kim , In-myung Cho , Jong-ha Lee
IPC分类号： G06T5/00
CPC分类号： G06K9/32 , G06T7/246 , G06T7/277
摘要： An illumination-invariant object tracking method and an image editing system using the same are provided. The illumination-invariant object tracking method involves: designating an initial position of an object of interest to be tracked in an image; constructing a probability map for object tracking in consideration of a color ratio of adjacent pixels in the image; and performing Kalman filtering based on the initial position of the object and the probability map. The image editing system based on the illumination-invariant object tracking method includes: a data input unit which receives an image to be edited; an object tracking unit which tracks a target object in consideration of a color ratio of adjacent pixels in the image; an image editing unit which edits and outputs an edited image in a predetermined region of the image, in response to information on the position, size, and boundary of the tracked target object.
摘要翻译：提供照明不变物体跟踪方法和使用其的图像编辑系统。照明不变对象跟踪方法包括：指定要在图像中跟踪的感兴趣对象的初始位置; 考虑图像中相邻像素的颜色比，构建对象跟踪的概率图; 并基于对象的初始位置和概率图执行卡尔曼滤波。基于照明不变对象跟踪方法的图像编辑系统包括：数据输入单元，接收要编辑的图像; 对象跟踪单元，其考虑到图像中的相邻像素的颜色比率来跟踪目标对象; 响应于关于跟踪的目标对象的位置，大小和边界的信息，编辑并输出图像的预定区域中的编辑图像的图像编辑单元。

7. 发明申请

US20070003106A1 Illumination-invariant object tracking method and image editing system using the same 有权
标题翻译：照明不变物体跟踪方法和图像编辑系统使用相同
公开(公告)号：US20070003106A1
公开(公告)日：2007-01-04
申请号：US11514968
申请日：2006-09-05
申请人： Tae-kyun Kim , In-myung Cho , Jong-ha Lee
发明人： Tae-kyun Kim , In-myung Cho , Jong-ha Lee
IPC分类号： G06K9/00
CPC分类号： G06K9/32 , G06T7/246 , G06T7/277
摘要： An illumination-invariant object tracking method and an image editing system using the same are provided. The illumination-invariant object tracking method involves: designating an initial position of an object of interest to be tracked in an image; constructing a probability map for object tracking in consideration of a color ratio of adjacent pixels in the image; and performing Kalman filtering based on the initial position of the object and the probability map. The image editing system based on the illumination-invariant object tracking method includes: a data input unit which receives an image to be edited; an object tracking unit which tracks a target object in consideration of a color ratio of adjacent pixels in the image; an image editing unit which edits and outputs an edited image in a predetermined region of the image, in response to information on the position, size, and boundary of the tracked target object.
摘要翻译：提供照明不变物体跟踪方法和使用其的图像编辑系统。照明不变对象跟踪方法包括：指定要在图像中跟踪的感兴趣对象的初始位置; 考虑图像中相邻像素的颜色比，构建对象跟踪的概率图; 并基于对象的初始位置和概率图执行卡尔曼滤波。基于照明不变对象跟踪方法的图像编辑系统包括：数据输入单元，接收要编辑的图像; 对象跟踪单元，其考虑到图像中的相邻像素的颜色比率来跟踪目标对象; 响应于关于跟踪的目标对象的位置，大小和边界的信息，编辑并输出图像的预定区域中的编辑图像的图像编辑单元。

8. 发明授权

US08111880B2 Method and apparatus for extracting facial features from image containing face 有权
标题翻译：从包含脸的图像中提取面部特征的方法和装置
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。

9. 发明授权

US07352880B2 System and method for detecting and tracking a plurality of faces in real time by integrating visual ques 失效
标题翻译：通过集成视觉视觉实时检测和跟踪多个面部的系统和方法
公开(公告)号：US07352880B2
公开(公告)日：2008-04-01
申请号：US10621456
申请日：2003-07-18
申请人： Tae-kyun Kim , Jong-ha Lee
发明人： Tae-kyun Kim , Jong-ha Lee
IPC分类号： G06K9/00
CPC分类号： G06K9/00228
摘要： A face detection and tracking system for detecting and tracking a plurality of faces in real time from an input image comprises: a background removing unit which extracts an area having a motion by removing a background image from the input image; a candidate area extracting unit which extracts a candidate area in which a face can be located in the area having a motion by using a skin color probability map generated from a face skin color model and a global probability map a face area determination unit which extracts (ICA) features from a candidate area and determines whether the candidate area is a face area by using a trained SVM classifier; and a face area tracking unit which tracks the face area according to a directional kernel indicating a probability that a face is located in a next frame based on the skin color probability map.
摘要翻译：一种用于从输入图像实时检测和跟踪多个面部的面部检测和跟踪系统包括：背景去除单元，其通过从输入图像中去除背景图像来提取具有运动的区域; 候选区域提取单元，其通过使用从面部肤色模型和全局概率图生成的肤色概率图提取具有运动的区域中的脸部的候选区域，面部区域确定单元提取（ ICA），并且通过使用经过训练的SVM分类器来确定候选区域是否是面部区域; 以及面部区域跟踪单元，其根据指向基于皮肤颜色概率图的面部位于下一帧中的概率的方向内核跟踪面部区域。

10. 发明授权

US07171023B2 Illumination-invariant object tracking method and image editing system using the same 有权
公开(公告)号：US07171023B2
公开(公告)日：2007-01-30
申请号：US10287592
申请日：2002-11-05
申请人： Tae-kyun Kim , In-myung Cho , Jong-ha Lee
发明人： Tae-kyun Kim , In-myung Cho , Jong-ha Lee
IPC分类号： G06K9/36
CPC分类号： G06K9/32 , G06T7/246 , G06T7/277
摘要： An illumination-invariant object tracking method and an image editing system using the same are provided. The illumination-invariant object tracking method involves: designating an initial position of an object of interest to be tracked in an image; constructing a probability map for object tracking in consideration of a color ratio of adjacent pixels in the image; and performing Kalman filtering based on the initial position of the object and the probability map. The image editing system based on the illumination-invariant object tracking method includes: a data input unit which receives an image to be edited; an object tracking unit which tracks a target object in consideration of a color ratio of adjacent pixels in the image; an image editing unit which edits and outputs an edited image in a predetermined region of the image, in response to information on the position, size, and boundary of the tracked target object.

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