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1. 发明申请

US20070189611A1 Bayesian Competitive Model Integrated With a Generative Classifier for Unspecific Person Verification 有权
标题翻译：贝叶斯竞争模型与用于非特定人员验证的生成分类器集成
公开(公告)号：US20070189611A1
公开(公告)日：2007-08-16
申请号：US11276112
申请日：2006-02-14
申请人： Qiong Yang , Xiaoou Tang
发明人： Qiong Yang , Xiaoou Tang
IPC分类号： G06K9/62
CPC分类号： G06K9/6278 , G06K9/6292
摘要： A Bayesian competitive model integrated with a generative classifier for unspecific person verification is described. In one aspect, a competitive measure for verification of an unspecific person is calculated using a discriminative classifier. The discriminative classifier is based on a Bayesian competitive model that is adaptable to unknown new classes. The Bayesian competitive model is integrated with a generative verification in view of a set of confidence criteria to make a decision regarding verification of the unspecific person.
摘要翻译：描述了与非特定人员验证的生成分类器集成的贝叶斯竞争模型。一方面，使用歧视性分类器来计算非特异性人的验证的竞争措施。歧视性分类器基于贝叶斯竞争模型，适用于未知的新类。贝叶斯竞争模式与生成验证相结合，鉴于一套信心标准，对非特定人员的验证作出决定。

2. 发明申请

US20070086646A1 Occlusion Handling in Stero Imaging 有权
标题翻译： Stero成像中的闭塞处理
公开(公告)号：US20070086646A1
公开(公告)日：2007-04-19
申请号：US11462342
申请日：2006-08-03
申请人： Qiong Yang , Yi Deng , Xiaoou Tang , Xueyin Lin
发明人： Qiong Yang , Yi Deng , Xiaoou Tang , Xueyin Lin
IPC分类号： G06K9/00
CPC分类号： G06K9/20 , G06K9/6207 , G06K2209/40 , G06T7/593 , G06T2207/10012 , G06T2207/20016
摘要： The handling of occlusions in stereo imaging is disclosed. In one implementation, an association between a discontinuity in one stereo image and an occlusion in a second stereo image is utilized. In such an implementation, the first and second stereo images are segmented. A mapping of a discontinuity within the second stereo image is used to form at least part of a boundary of an occlusion in the first stereo image. The mapped discontinuity is found at a boundary between two segments in the second stereo image, and once mapped, divides a segment in the first stereo image into two patches. An energy calculation is made in an iterative manner, alternating with changes to a solution with the disparities and occlusions of the patches. Upon minimization, disparities and occlusions at the patch and pixel level are available.
摘要翻译：公开了立体成像中遮挡物的处理。在一个实现中，利用一个立体图像中的不连续性和第二立体图像中的遮挡之间的关联。在这种实现中，分割第一和第二立体图像。使用第二立体图像内的不连续性的映射来形成第一立体图像中的遮挡的边界的至少一部分。映射的不连续性位于第二立体图像中的两个段之间的边界处，一旦映射，则将第一立体图像中的段划分成两个补丁。以迭代的方式进行能量计算，并与补丁的差异和闭塞的解决方案的变化交替进行。在最小化时，可以使用补丁和像素级别的差异和遮挡。

3. 发明申请

US20100121792A1 Directed Graph Embedding 审中-公开
标题翻译：定向图嵌入
公开(公告)号：US20100121792A1
公开(公告)日：2010-05-13
申请号：US12521985
申请日：2008-01-07
申请人： Qiong Yang , Mo Chen , Xiaoou Tang
发明人： Qiong Yang , Mo Chen , Xiaoou Tang
IPC分类号： G06N5/02 , G06F15/18 , G06F7/548
CPC分类号： G06F16/9024
摘要： Directed graph embedding is described. In one implementation, a system explores the link structure of a directed graph and embeds the vertices of the directed graph into a vector space while preserving affinities that are present among vertices of the directed graph. Such an embedded vector space facilitates general data analysis of the information in the directed graph. Optimal embedding can be achieved by measuring local affinities among vertices via transition probabilities between the vertices, based on a stationary distribution of Markov random walks through the directed graph. For classifying linked web pages represented by a directed graph, the system can train a support vector machine (SVM) classifier, which can operate in a user-selectable number of dimensions.
摘要翻译：描述了定向图嵌入。在一个实现中，系统探索有向图的链接结构，并将有向图的顶点嵌入到向量空间中，同时保留存在于有向图的顶点之间的亲和度。这样的嵌入向量空间有助于对有向图中的信息的一般数据分析。基于通过有向图的马尔科夫随机游走的平稳分布，可以通过顶点之间的转移概率来测量顶点之间的局部亲和度来实现最佳嵌入。为了对由有向图表示的链接的网页进行分类，系统可以训练支持向量机（SVM）分类器，其可以以用户可选择的维数操作。

4. 发明授权

US07684651B2 Image-based face search 有权
标题翻译：基于图像的脸部搜索
公开(公告)号：US07684651B2
公开(公告)日：2010-03-23
申请号：US11466750
申请日：2006-08-23
申请人： Xiaoou Tang , Qiong Yang , Leizhong Zhang , Ta Bao , David P. Vronay
发明人： Xiaoou Tang , Qiong Yang , Leizhong Zhang , Ta Bao , David P. Vronay
IPC分类号： G06K9/60
CPC分类号： G06F17/30247
摘要： A search includes comparing a query image provided by a user to a plurality of stored images of faces stored in a stored image database, and determining a similarity of the query image to the plurality of stored images. One or more resultant images of faces, selected from among the stored images, are displayed to the user based on the determined similarity of the stored images to the query image provided by the user. The resultant images are displayed based at least in part on one or more facial features.
摘要翻译：搜索包括将由用户提供的查询图像与存储在存储的图像数据库中的多个存储的面部图像进行比较，以及确定查询图像与多个存储图像的相似性。基于所确定的存储的图像与由用户提供的查询图像的相似度，向用户显示从所存储的图像中选择的一个或多个所得到的面部图像。所得图像至少部分地基于一个或多个面部特征显示。

5. 发明授权

US08644600B2 Learning object cutout from a single example 有权
标题翻译：从一个例子学习对象剪切
公开(公告)号：US08644600B2
公开(公告)日：2014-02-04
申请号：US11810595
申请日：2007-06-05
申请人： Qiong Yang , Fang Wen , Xiaoou Tang
发明人： Qiong Yang , Fang Wen , Xiaoou Tang
IPC分类号： G06K9/00
CPC分类号： G06K9/621 , G06T7/11 , G06T7/12 , G06T7/162 , G06T7/174 , G06T7/194 , G06T7/90 , G06T2207/10024 , G06T2207/20072 , G06T2207/20081 , G06T2207/20121
摘要： Systems and methods are described for learning visual object cutout from a single example. In one implementation, an exemplary system determines the color context near each block in a model image to create an appearance model. The system also learns color sequences that occur across visual edges in the model image to create an edge profile model. The exemplary system then infers segmentation boundaries in unknown images based on the appearance model and edge profile model. In one implementation, the exemplary system minimizes the energy in a graph-cut model where the appearance model is used for data energy and the edge profile is used to modulate edges. The system is not limited to images with nearly identical foregrounds or backgrounds. Some variations in scale, rotation, and viewpoint are allowed.
摘要翻译：描述了从单个示例中学习视觉对象切割的系统和方法。在一个实现中，示例性系统确定模型图像中每个块附近的颜色上下文以创建外观模型。该系统还学习在模型图像中跨视觉边缘发生的颜色序列，以创建边缘轮廓模型。然后，示例性系统基于外观模型和边缘轮廓模型来推断未知图像中的分割边界。在一个实现中，示例性系统最小化图形切割模型中的能量，其中外观模型用于数据能量，并且边缘轮廓用于调制边缘。该系统不限于具有几乎相同的前景或背景的图像。允许在比例尺，旋转角度和视角上有一些变化。

6. 发明申请

US20120093411A1 Active Segmentation for Groups of Images 有权
标题翻译：主动分割图像组
公开(公告)号：US20120093411A1
公开(公告)日：2012-04-19
申请号：US13276881
申请日：2011-10-19
申请人： Xiaoou Tang , Qiong Yang
发明人： Xiaoou Tang , Qiong Yang
IPC分类号： G06K9/34
CPC分类号： G06K9/342 , G06K9/38 , G06K2009/366
摘要： Systems and methods of segmenting images are disclosed. The similarity of images in a set of images is compared. A group of images is selected from the set of images. The images in the group of images are selected based on compared similarities among the images. An informative image is selected from the group of images. User-defined semantic information of the informative image is received. The group of images is modeled as a graph. Each image in the group of images denotes a node in the graph. Edges of the graph denote a foreground or background relationship between images. One or more images in the group of images may be automatically segmented by propagating semantic information of the informative image to images in the group having a graph node corresponding to the informative image. Segmentation results can be refined according to user provided image semantics.
摘要翻译：公开了分割图像的系统和方法。比较一组图像中图像的相似度。从该组图像中选择一组图像。基于图像中的相似度来选择图像组中的图像。从图像组中选择信息图像。收到信息图像的用户定义语义信息。图像组被建模为图形。图像组中的每个图像表示图中的一个节点。图形的边缘表示图像之间的前景或背景关系。图像组中的一个或多个图像可以通过将信息图像的语义信息传播到具有对应于信息图像的图形节点的组中的图像来自动分割。分割结果可以根据用户提供的图像语义进行细化。

7. 发明授权

US07991230B2 Modeling micro-structure for feature extraction 有权
标题翻译：特征提取的微观结构建模
公开(公告)号：US07991230B2
公开(公告)日：2011-08-02
申请号：US11466332
申请日：2006-08-22
申请人： Qiong Yang , Dian Gong , Xiaoou Tang
发明人： Qiong Yang , Dian Gong , Xiaoou Tang
IPC分类号： G06K9/00
CPC分类号： G06K9/6228 , G06K9/469 , G06K9/6255
摘要： Exemplary systems and methods use micro-structure modeling of an image for extracting image features. The micro-structure in an image is modeled as a Markov Random Field, and the model parameters are learned from training images. Micro-patterns adaptively designed from the modeled micro-structure capture spatial contexts of the image. In one implementation, a series of micro-patterns based on the modeled micro-structure can be automatically designed for each block of the image, providing improved feature extraction and recognition because of adaptability to various images, various pixel attributes, and various sites within an image.
摘要翻译：示例性系统和方法使用用于提取图像特征的图像的微结构建模。图像中的微结构被建模为马尔科夫随机场，并且从训练图像中学习模型参数。微模式通过模拟的微观结构自适应地捕获图像的空间上下文。在一个实现中，可以为图像的每个块自动设计一系列基于建模的微结构的微图案，从而提供改进的特征提取和识别，因为对各种图像的适应性，各种像素属性和图片。

8. 发明授权

US07860347B2 Image-based face search 有权
公开(公告)号：US07860347B2
公开(公告)日：2010-12-28
申请号：US12699274
申请日：2010-02-03
申请人： Xiaoou Tang , Qiong Yang , David P. Vronay , Leizhong Zhang , Ta Bao
发明人： Xiaoou Tang , Qiong Yang , David P. Vronay , Leizhong Zhang , Ta Bao
IPC分类号： G06K9/54
CPC分类号： G06F17/30247
摘要： A search includes comparing a query image provided by a user to a plurality of stored images of faces stored in a stored image database, and determining a similarity of the query image to the plurality of stored images. One or more resultant images of faces, selected from among the stored images, are displayed to the user based on the determined similarity of the stored images to the query image provided by the user. The resultant images are displayed based at least in part on one or more facial features.

9. 发明授权

US07646894B2 Bayesian competitive model integrated with a generative classifier for unspecific person verification 有权
标题翻译：贝叶斯竞争模型与用于非特定人员验证的生成分类器相结合
公开(公告)号：US07646894B2
公开(公告)日：2010-01-12
申请号：US11276112
申请日：2006-02-14
申请人： Qiong Yang , Xiaoou Tang
发明人： Qiong Yang , Xiaoou Tang
IPC分类号： G06K9/62 , G06Y7/00 , G06K9/00
CPC分类号： G06K9/6278 , G06K9/6292
摘要： A Bayesian competitive model integrated with a generative classifier for unspecific person verification is described. In one aspect, a competitive measure for verification of an unspecific person is calculated using a discriminative classifier. The discriminative classifier is based on a Bayesian competitive model that is adaptable to unknown new classes. The Bayesian competitive model is integrated with a generative verification in view of a set of confidence criteria to make a decision regarding verification of the unspecific person.
摘要翻译：描述了与非特定人员验证的生成分类器集成的贝叶斯竞争模型。一方面，使用歧视性分类器来计算非特异性人的验证的竞争措施。歧视性分类器基于贝叶斯竞争模型，适用于未知的新类。贝叶斯竞争模式与生成验证相结合，鉴于一套信心标准，对非特定人员的验证作出决定。

10. 发明申请

US20080298766A1 Interactive Photo Annotation Based on Face Clustering 有权
标题翻译：基于人脸聚类的互动照片注释
公开(公告)号：US20080298766A1
公开(公告)日：2008-12-04
申请号：US11754933
申请日：2007-05-29
申请人： Fang Wen , Rong Xiao , Qiong Yang , Xiaoou Tang
发明人： Fang Wen , Rong Xiao , Qiong Yang , Xiaoou Tang
IPC分类号： H04N5/91
CPC分类号： G06F17/30259 , G06F17/3028
摘要： An interactive photo annotation method uses clustering based on facial similarities to improve annotation experience. The method uses a face recognition algorithm to extract facial features of a photo album and cluster the photos into multiple face groups based on facial similarity. The method annotates a face group collectively using annotations, such as name identifiers, in one operation. The method further allows merging and splitting of face groups. Special graphical user interfaces, such as displays in a group view area and a thumbnail area and drag-and-drop features, are used to further improve the annotation experience.
摘要翻译：交互式照片注释方法使用基于面部相似度的聚类来改进注释体验。该方法使用面部识别算法提取相册的面部特征，并根据面部相似度将照片聚类成多个面部组。该方法在一个操作中使用注释（例如名称标识符）集体使用面部组。该方法还允许面组的合并和分割。使用特殊的图形用户界面，例如组视图区域中的显示和缩略图区域以及拖放功能，以进一步改进注释体验。

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