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61. 发明授权

US08024152B2 Tensor linear laplacian discrimination for feature extraction 有权
标题翻译：特征提取的张量线性拉普拉斯判别
公开(公告)号：US08024152B2
公开(公告)日：2011-09-20
申请号：US12235927
申请日：2008-09-23
申请人： Wei Zhang , Zhouchen Lin , Xiaoou Tang
发明人： Wei Zhang , Zhouchen Lin , Xiaoou Tang
IPC分类号： G06F17/16 , G06F17/11
CPC分类号： G06F17/30598 , G06K9/6234
摘要： Tensor linear Laplacian discrimination for feature extraction is disclosed. One embodiment comprises generating a contextual distance based sample weight and class weight, calculating a within-class scatter using the at least one sample weight and a between-class scatter for multiple classes of data samples in a sample set using the class weight, performing a mode-k matrix unfolding on scatters and generating at least one orthogonal projection matrix.
摘要翻译：公开了用于特征提取的张量线性拉普拉斯判别。一个实施例包括生成基于上下文距离的样本权重和类权重，使用所述至少一个样本权重来计算类内散度，以及使用类权重在样本集合中的多类数据样本之间进行类间散射，执行 mode-k矩阵在散射上展开并生成至少一个正交投影矩阵。

62. 发明申请

US20110206276A1 HYBRID GRAPH MODEL FOR UNSUPERVISED OBJECT SEGMENTATION 有权
标题翻译：用于不间断对象分类的混合图形模型
公开(公告)号：US20110206276A1
公开(公告)日：2011-08-25
申请号：US13100891
申请日：2011-05-04
申请人： Zhouchen Lin , Guangcan Liu , Xiaoou Tang
发明人： Zhouchen Lin , Guangcan Liu , Xiaoou Tang
IPC分类号： G06K9/34
CPC分类号： G06K9/34 , G06K9/342 , G06K9/6296 , G06T7/11 , G06T7/162 , G06T7/194
摘要： This disclosure describes an integrated framework for class-unsupervised object segmentation. The class-unsupervised object segmentation occurs by integrating top-down constraints and bottom-up constraints on object shapes using an algorithm in an integrated manner. The algorithm describes a relationship among object parts and superpixels. This process forms object shapes with object parts and oversegments pixel images into the superpixels, with the algorithm in conjunction with the constraints. This disclosure describes computing a mask map from a hybrid graph, segmenting the image into a foreground object and a background, and displaying the foreground object from the background.
摘要翻译：本公开描述了用于无人监督的对象分割的集成框架。通过以集成的方式使用算法将自上而下的约束和自下而上的对象形状约束集成在一起，进行类无监督对象分割。该算法描述了对象部分和超像素之间的关系。该过程通过对象部分形成对象形状，并将像素图像监视到超像素中，该算法与约束相结合。本公开描述了从混合图计算掩模图，将图像分割成前景对象和背景，以及从背景显示前景对象。

63. 发明授权

US07970727B2 Method for modeling data structures by creating digraphs through contexual distances 有权
标题翻译：通过连续距离创建二维图来建立数据结构的方法
公开(公告)号：US07970727B2
公开(公告)日：2011-06-28
申请号：US12032705
申请日：2008-02-18
申请人： Deli Zhao , Zhouchen Lin , Xiaoou Tang
发明人： Deli Zhao , Zhouchen Lin , Xiaoou Tang
IPC分类号： G06F17/10
CPC分类号： G06K9/6248
摘要： A method for modeling data affinities and data structures. In one implementation, a contextual distance may be calculated between a selected data point in a data sample and a data point in a contextual set of the selected data point. The contextual set may include the selected data point and one or more data points in the neighborhood of the selected data point. The contextual distance may be the difference between the selected data point's contribution to the integrity of the geometric structure of the contextual set and the data point's contribution to the integrity of the geometric structure of the contextual set. The process may be repeated for each data point in the contextual set of the selected data point. The process may be repeated for each selected data point in the data sample. A digraph may be created using a plurality of contextual distances generated by the process.
摘要翻译：一种用于建模数据亲和度和数据结构的方法。在一个实现中，可以在数据样本中的所选数据点和所选数据点的上下文集合中的数据点之间计算上下文距离。所述上下文集合可以包括所选数据点和所选数据点附近的一个或多个数据点。上下文距离可以是所选数据点对上下文集合的几何结构的完整性的贡献与数据点对上下文集合的几何结构的完整性的贡献之间的差异。可以对所选数据点的上下文集合中的每个数据点重复该过程。可以对数据样本中的每个选定的数据点重复该过程。可以使用由该过程生成的多个上下文距离来创建有向图。

64. 发明授权

US07949621B2 Object detection and recognition with bayesian boosting 有权
标题翻译：贝叶斯提升对象检测和识别
公开(公告)号：US07949621B2
公开(公告)日：2011-05-24
申请号：US11871899
申请日：2007-10-12
申请人： Rong Xiao , Xiaoou Tang
发明人： Rong Xiao , Xiaoou Tang
IPC分类号： G06F15/18
CPC分类号： G06N7/005 , G06K9/6256
摘要： An efficient, effective and at times superior object detection and/or recognition (ODR) function may be built from a set of Bayesian stumps. Bayesian stumps may be constructed for each feature and object class, and the ODR function may be constructed from the subset of Bayesian stumps that minimize Bayesian error for a particular object class. That is, Bayesian error may be utilized as a feature selection measure for the ODR function. Furthermore, Bayesian stumps may be efficiently implemented as lookup tables with entries corresponding to unequal intervals of feature histograms. Interval widths and entry values may be determined so as to minimize Bayesian error, yielding Bayesian stumps that are optimal in this respect.
摘要翻译：可以从一组贝叶斯树桩构建一个有效，有效且有时优越的物体检测和/或识别（ODR）功能。可以为每个特征和对象类构造贝叶斯树桩，并且可以从贝叶斯树桩的子集构建ODR功能，以使特定对象类的贝叶斯误差最小化。也就是说，贝叶斯误差可以用作ODR功能的特征选择测量。此外，贝叶斯树桩可以被有效地实现为具有对应于特征直方图的不等间隔的条目的查找表。间隔宽度和入口值可以被确定为使贝叶斯误差最小化，从而产生在这方面是最佳的贝叶斯树桩。

65. 发明授权

US07720283B2 Background removal in a live video 有权
标题翻译：在实时视频中进行后台删除
公开(公告)号：US07720283B2
公开(公告)日：2010-05-18
申请号：US11469371
申请日：2006-08-31
申请人： Jian Sun , Heung-Yeung Shum , Xiaoou Tang , Weiwei Zhang
发明人： Jian Sun , Heung-Yeung Shum , Xiaoou Tang , Weiwei Zhang
IPC分类号： G06K9/34
CPC分类号： G06K9/38 , G06T7/11 , G06T7/90 , G06T2207/10016
摘要： Exemplary systems and methods segment a foreground from a background image in a video sequence. In one implementation, a system refines a segmentation boundary between the foreground and the background image by attenuating background contrast while preserving contrast of the segmentation boundary itself, providing an accurate background cut of live video in real time. A substitute background may then be merged with the segmented foreground within the live video. The system can apply an adaptive background color mixture model to improve segmentation of foreground from background under various background changes, such as camera movement, illumination change, and movement of small objects in the background.
摘要翻译：示例性系统和方法从视频序列中的背景图像分割前景。在一个实现中，系统通过衰减背景对比度同时保留分割边界本身的对比度来优化前景和背景图像之间的分割边界，从而实时提供实况视频的精确背景切割。然后可以将替代背景与实时视频中的分段前景合并。该系统可以应用自适应背景颜色混合模型，从而在各种背景变化（例如相机移动，照明变化和背景中的小物体的移动）下改进背景的前景分割。

66. 发明授权

US07668346B2 Joint boosting feature selection for robust face recognition 有权
标题翻译：联合提升功能选择，强大的人脸识别
公开(公告)号：US07668346B2
公开(公告)日：2010-02-23
申请号：US11277098
申请日：2006-03-21
申请人： Rong Xiao , Xiaoou Tang
发明人： Rong Xiao , Xiaoou Tang
IPC分类号： G06K9/00
CPC分类号： G06K9/6256 , G06K9/00281
摘要： Methods and systems are provided for selecting features that will be used to recognize faces. Three-dimensional models are used to synthesize a database of virtual face images. The virtual face images cover wide appearance variations, different poses, different lighting conditions and expression changes. A joint boosting algorithm is used to identify discriminative features by selecting features from the plurality of virtual images such that the identified discriminative features are independent of the other images included in the database.
摘要翻译：提供了用于选择将用于识别面部的特征的方法和系统。三维模型用于合成虚拟脸部图像的数据库。虚拟脸部图像涵盖宽的外观变化，不同的姿势，不同的照明条件和表情变化。联合增强算法用于通过从多个虚拟图像中选择特征来识别识别特征，使得所识别的鉴别特征与包括在数据库中的其它图像无关。

67. 发明申请

US20090313239A1 Adaptive Visual Similarity for Text-Based Image Search Results Re-ranking 审中-公开
标题翻译：基于文本的图像搜索结果的自适应视觉相似性重新排序
公开(公告)号：US20090313239A1
公开(公告)日：2009-12-17
申请号：US12140244
申请日：2008-06-16
申请人： Fang Wen , Xiaoou Tang
发明人： Fang Wen , Xiaoou Tang
IPC分类号： G06F17/30
CPC分类号： G06K9/46 , G06F16/5838 , G06K9/00664
摘要： Described is a technology in which images initially ranked by some relevance estimate (e.g., according to text-based similarities) are re-ranked according to visual similarity with a user-selected image. A user-selected image is received and classified into an intention class, such as a scenery class, portrait class, and so forth. The intention class is used to determine how visual features of other images compare with visual features of the user-selected image. For example, the comparing operation may use different feature weighting depending on which intention class was determined for the user-selected image. The other images are re-ranked based upon their computed similarity to the user-selected image, and returned as query results. Retuning of the feature weights using actual user-provided relevance feedback is also described.
摘要翻译：描述了一种技术，其中根据与用户选择的图像的视觉相似性来重新排列根据某些相关性估计（例如，根据基于文本的相似性）排序的图像。接收用户选择的图像并将其分类为意图类别，例如风景类别，肖像类别等。意图类用于确定其他图像的视觉特征如何与用户选择的图像的视觉特征进行比较。例如，比较操作可以根据为用户选择的图像确定哪种意图类别而使用不同的特征加权。其他图像根据其计算出的与用户选择的图像的相似度重新排列，并作为查询结果返回。还描述了使用实际的用户提供的相关性反馈来重新调整特征权重。

68. 发明申请

US20090132213A1 METHOD FOR MODELING DATA STRUCTURES USING LOCAL CONTEXTS 有权
标题翻译：使用本地参数建模数据结构的方法
公开(公告)号：US20090132213A1
公开(公告)日：2009-05-21
申请号：US12032705
申请日：2008-02-18
申请人： Deli Zhao , Zhouchen Lin , Xiaoou Tang
发明人： Deli Zhao , Zhouchen Lin , Xiaoou Tang
IPC分类号： G06F17/10
CPC分类号： G06K9/6248
摘要： A method for modeling data affinities and data structures. In one implementation, a contextual distance may be calculated between a selected data point in a data sample and a data point in a contextual set of the selected data point. The contextual set may include the selected data point and one or more data points in the neighborhood of the selected data point. The contextual distance may be the difference between the selected data point's contribution to the integrity of the geometric structure of the contextual set and the data point's contribution to the integrity of the geometric structure of the contextual set. The process may be repeated for each data point in the contextual set of the selected data point. The process may be repeated for each selected data point in the data sample. A digraph may be created using a plurality of contextual distances generated by the process.
摘要翻译：一种用于建模数据亲和度和数据结构的方法。在一个实现中，可以在数据样本中的所选数据点和所选数据点的上下文集合中的数据点之间计算上下文距离。所述上下文集合可以包括所选数据点和所选数据点附近的一个或多个数据点。上下文距离可以是所选数据点对上下文集合的几何结构的完整性的贡献与数据点对上下文集合的几何结构的完整性的贡献之间的差异。可以对所选数据点的上下文集合中的每个数据点重复该过程。可以对数据样本中的每个选定的数据点重复该过程。可以使用由该过程生成的多个上下文距离来创建有向图。

69. 发明申请

US20080304755A1 Face Annotation Framework With Partial Clustering And Interactive Labeling 有权
标题翻译：面部注释框架与部分聚类和交互式标签
公开(公告)号：US20080304755A1
公开(公告)日：2008-12-11
申请号：US11760641
申请日：2007-06-08
申请人： Rong Xiao , Fang Wen , Xiaoou Tang
发明人： Rong Xiao , Fang Wen , Xiaoou Tang
IPC分类号： G06K9/62 , G06K9/00
CPC分类号： G06K9/6226 , G06F17/30017 , G06F17/30265 , G06F17/3028 , G06K9/00288 , G06K9/6254
摘要： Systems and methods are described for a face annotation framework with partial clustering and interactive labeling. In one implementation, an exemplary system automatically groups some images of a collection of images into clusters, each cluster mainly including images that contain a person's face associated with that cluster. After an initial user-labeling of each cluster with the person's name or other label, in which the user may also delete/label images that do not belong in the cluster, the system iteratively proposes subsequent clusters for the user to label, proposing clusters of images that when labeled, produce a maximum information gain at each iteration and minimize the total number of user interactions for labeling the entire collection of images.
摘要翻译：描述了具有部分聚类和交互式标签的面部注释框架的系统和方法。在一个实现中，示例性系统自动地将图像集合的一些图像分组成群集，每个群集主要包括包含与该群集相关联的人脸的图像。在用户的姓名或其他标签对每个集群进行初始用户标签之后，用户还可以在其中删除/标记不属于集群的图像，系统迭代地提出用于用户标签的后续集群，提出集群标记后的图像在每次迭代时产生最大的信息增益，并最大限度地减少用户标记整个图像集合的总体交互次数。

70. 发明申请

US20080297621A1 Strategies for extracting foreground information using flash and no-flash image pairs 有权
标题翻译：使用闪存和无闪存映像对提取前台信息的策略
公开(公告)号：US20080297621A1
公开(公告)日：2008-12-04
申请号：US11807448
申请日：2007-05-29
申请人： Jian Sun , Jian Sun , Sing Bing Kang , Xiaoou Tang , Heung-Yeung Shum
发明人： Jian Sun , Jian Sun , Sing Bing Kang , Xiaoou Tang , Heung-Yeung Shum
IPC分类号： H04N9/73
CPC分类号： H04N9/76 , G06T7/11 , G06T7/143 , G06T7/194 , G06T2207/10144 , H04N5/23232
摘要： A flash-based strategy is used to separate foreground information from background information within image information. In this strategy, a first image is taken without the use of flash. A second image is taken of the same subject matter with the use of flash. The foreground information in the flash image is illuminated by the flash to a much greater extent than the background information. Based on this property, the strategy applies processing to extract the foreground information from the background information. The strategy supplements the flash information by also taking into consideration motion information and color information.
摘要翻译：基于闪存的策略用于将前景信息与图像信息中的背景信息分离。在这个策略中，第一个图像是不使用闪光灯的。使用闪光灯拍摄相同主题的第二张照片。闪光灯中的前景信息被闪光灯照亮到比背景信息更大的程度。基于此属性，该策略应用处理从背景信息中提取前景信息。该策略通过考虑运动信息和颜色信息来补充闪光信息。

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