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公开(公告)号：US08238660B2
公开(公告)日：2012-08-07
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
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。
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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。
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公开(公告)号：US08026931B2
公开(公告)日：2011-09-27
申请号：US11467859
申请日：2006-08-28
申请人： Jian Sun , Qiang Wang , Weiwei Zhang , Xiaoou Tang , Heung-Yeung Shum
发明人： Jian Sun , Qiang Wang , Weiwei Zhang , Xiaoou Tang , Heung-Yeung Shum
CPC分类号： G06T11/00
摘要： Digital video effects are described. In one aspect, a foreground object in a video stream is identified. The video stream comprises multiple image frames. The foreground object is modified by rendering a 3-dimensional (3-D) visual feature over the foreground object for presentation to a user in a modified video stream. Pose of the foreground object is tracked in 3-D space across respective ones of the image frames to identify when the foreground object changes position in respective ones of the image frames. Based on this pose tracking, aspect ratio of the 3-D visual feature is adaptively modified and rendered over the foreground object in corresponding image frames for presentation to the user in the modified video stream.
摘要翻译： 描述数字视频效果。 在一个方面，识别视频流中的前景对象。 视频流包括多个图像帧。 通过在前景对象上呈现三维（3-D）视觉特征来修改前景对象，以呈现给经修改的视频流中的用户。 前景物体的姿态在相应的图像帧中的3-D空间中被跟踪，以识别前景对象何时改变相应图像帧中的位置。 基于这种姿态跟踪，3-D视觉特征的宽高比被自适应地修改并在相应图像帧中的前景对象上呈现，以便在修改的视频流中呈现给用户。
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公开(公告)号：US07995841B2
公开(公告)日：2011-08-09
申请号：US11860428
申请日：2007-09-24
申请人： Zhouchen Lin , Guangcan Liu , Xiaoou Tang
发明人： Zhouchen Lin , Guangcan Liu , Xiaoou Tang
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。
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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。
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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.
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77.发明申请Determining Intensity Similarity in Low-Light Conditions Using the Poisson-Quantization Noise Model 审中-公开使用泊松量化噪声模型确定低光条件下的强度相似性公开(公告)号：US20100303367A1
公开(公告)日：2010-12-02
申请号：US12772690
申请日：2010-05-03
申请人： Yasuyuki Matsushita , Xiaoou Tang , Francois Alter
发明人： Yasuyuki Matsushita , Xiaoou Tang , Francois Alter
IPC分类号： G06K9/68
摘要： A Poisson-quantization noise model for modeling noise in low-light conditions is described. In one aspect, image information is received. A Poisson-quantization noise model is then generated from a Poisson noise model and a quantization noise model. Poisson-quantization noise is then estimated in the image information using the Poisson-quantization noise model.
摘要翻译： 描述了用于在低光条件下建模噪声的泊松量化噪声模型。 一方面，接收图像信息。 然后从泊松噪声模型和量化噪声模型生成泊松量化噪声模型。 然后使用泊松量化噪声模型在图像信息中估计泊松量化噪声。
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公开(公告)号：US07817822B2
公开(公告)日：2010-10-19
申请号：US11380635
申请日：2006-04-27
申请人： Jian Sun , Weiwei Zhang , Xiaoou Tang , Heung-Yeung Shum
发明人： Jian Sun , Weiwei Zhang , Xiaoou Tang , Heung-Yeung Shum
IPC分类号： G06K9/00
CPC分类号： G06K9/3241 , G06K9/32 , G06T7/277
摘要： The present video tracking technique outputs a Maximum A Posterior (MAP) solution for a target object based on two object templates obtained from a start and an end keyframe of a whole state sequence. The technique first minimizes the whole state space of the sequence by generating a sparse set of local two-dimensional modes in each frame of the sequence. The two-dimensional modes are converted into three-dimensional points within a three-dimensional volume. The three-dimensional points are clustered using a spectral clustering technique where each cluster corresponds to a possible trajectory segment of the target object. If there is occlusion in the sequence, occlusion segments are generated so that an optimal trajectory of the target object can be obtained.
摘要翻译： 本视频跟踪技术基于从整个状态序列的开始和结束关键帧获得的两个对象模板，为目标对象输出最大A后验（MAP）解决方案。 该技术首先通过在序列的每个帧中生成稀疏的局部二维模式集来最小化序列的整个状态空间。 二维模式在三维体积内被转换成三维点。 使用光谱聚类技术对三维点进行聚类，其中每个聚类对应于目标对象的可能的轨迹段。 如果序列中存在闭塞，则生成闭塞段，从而可以获得目标对象的最佳轨迹。
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79.发明授权Strategies for extracting foreground information using flash and no-flash image pairs 有权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：US07808532B2
公开(公告)日：2010-10-05
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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公开(公告)号：US07755619B2
公开(公告)日：2010-07-13
申请号：US11465369
申请日：2006-08-17
申请人： Qiang Wang , Heung-Yeung Shum , Xiaoou Tang
发明人： Qiang Wang , Heung-Yeung Shum , Xiaoou Tang
IPC分类号： G06T15/00
CPC分类号： G06T17/20 , G06T7/55 , G06T2200/08
摘要： Systems and methods perform automatic 3D face modeling. In one implementation, a brief video clip of a user's head turning from front to side provides enough input for automatically achieving a model that includes 2D feature matches, 3D head pose, 3D face shape, and facial textures. The video clip of the user may be of poor quality. In a two layer iterative method, the video clip is divided into segments. Flow-based feature estimation and model-based feature refinement are applied recursively to each segment. Then the feature estimation and refinement are iteratively applied across all the segments. The entire modeling method is automatic and the two layer iterative method provides speed and efficiency, especially when sparse bundle adjustment is applied to boost efficiency.
摘要翻译： 系统和方法执行自动3D脸部建模。 在一个实现中，用户头部从前到后的简短视频剪辑提供足够的输入，用于自动实现包括2D特征匹配，3D头部姿势，3D脸部形状和面部纹理的模型。 用户的视频剪辑可能质量差。 在两层迭代方法中，视频剪辑被划分成段。 基于流的特征估计和基于模型的特征细化被递归地应用于每个段。 然后，特征估计和细化被迭代地应用于所有段。 整个建模方法是自动的，两层迭代法提供了速度和效率，特别是当稀疏束调整应用于提高效率时。
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