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公开(公告)号：US20140037218A1
公开(公告)日：2014-02-06
申请号：US13567105
申请日：2012-08-06
IPC分类号： G06K9/68
CPC分类号： G06F17/30268
摘要： A document that includes a representation of a two-dimensional (2-D) image may be obtained. A selection indicator indicating a selection of at least a portion of the 2-D image may be obtained. A match correspondence may be determined between the selected portion of the 2-D image and a three-dimensional (3-D) image object stored in an object database, the match correspondence based on a web crawler analysis result. A 3-D rendering of the 3-D image object that corresponds to the selected portion of the 2-D image may be initiated.
摘要翻译： 可以获得包括二维（2-D）图像的表示的文档。 可以获得指示选择2-D图像的至少一部分的选择指示符。 可以在2-D图像的所选部分和存储在对象数据库中的三维（3-D）图像对象之间确定匹配对应关系，该匹配对应基于网络爬行器分析结果。 可以启动对应于2-D图像的所选部分的3-D图像对象的3-D渲染。
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公开(公告)号：US09025860B2
公开(公告)日：2015-05-05
申请号：US13567105
申请日：2012-08-06
CPC分类号： G06F17/30268
摘要： A document that includes a representation of a two-dimensional (2-D) image may be obtained. A selection indicator indicating a selection of at least a portion of the 2-D image may be obtained. A match correspondence may be determined between the selected portion of the 2-D image and a three-dimensional (3-D) image object stored in an object database, the match correspondence based on a web crawler analysis result. A 3-D rendering of the 3-D image object that corresponds to the selected portion of the 2-D image may be initiated.
摘要翻译： 可以获得包括二维（2-D）图像的表示的文档。 可以获得指示选择2-D图像的至少一部分的选择指示符。 可以在2-D图像的所选部分和存储在对象数据库中的三维（3-D）图像对象之间确定匹配对应关系，该匹配对应基于网络爬行器分析结果。 可以启动对应于2-D图像的所选部分的3-D图像对象的3-D渲染。
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公开(公告)号：US20120321175A1
公开(公告)日：2012-12-20
申请号：US13162591
申请日：2011-06-17
IPC分类号： G06K9/62
CPC分类号： G06K9/6227 , G06K9/6231
摘要： A mobile device having the capability of performing real-time location recognition with assistance from a server is provided. The approximate geophysical location of the mobile device is uploaded to the server. Based on the mobile device's approximate geophysical location, the server responds by sending the mobile device a message comprising a classifier and a set of feature descriptors. This can occur before an image is captured for visual querying. The classifier and feature descriptors are computed during an offline training stage using techniques to minimize computation at query time. The classifier and feature descriptors are used to perform visual recognition in real-time by performing the classification on the mobile device itself.
摘要翻译： 提供了具有从服务器的协助执行实时位置识别能力的移动设备。 移动设备的近似地球物理位置被上传到服务器。 基于移动设备的近似地球物理位置，服务器通过向移动设备发送包括分类器和一组特征描述符的消息来进行响应。 这可能在捕获图像以进行视觉查询之前发生。 分类器和特征描述符在离线训练阶段使用技术来计算，以最小化查询时间的计算。 分类器和特征描述符用于通过在移动设备本身上执行分类来实时执行视觉识别。
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公开(公告)号：US20090244062A1
公开(公告)日：2009-10-01
申请号：US12059794
申请日：2008-03-31
CPC分类号： G06T17/00 , G06T7/536 , G06T7/564 , G06T15/205 , G06T2200/08 , G06T2207/10016
摘要： A collection of photos and a three-dimensional reconstruction of the photos are used to construct and texture a mesh model. In one embodiment, a first digital image of a first view of a real world scene is analyzed to identify lines in the first view. Among the lines, parallel lines are identified. A three-dimensional vanishing direction in a three-dimensional space is determined based on the parallel lines and an orientation of the digital image in the three-dimensional space. A plane is automatically generated by fitting the plane to the vanishing direction. A rendering of a three-dimensional model with the plane is displayed. Three-dimensional points corresponding to features common to the photos may be used to constrain the plane. The photos may be projected onto the model to provide visual feedback when editing the plane. Furthermore, the photos may be used to texture the model.
摘要翻译： 使用照片的集合和照片的三维重建来构造和纹理网格模型。 在一个实施例中，分析现实世界场景的第一视图的第一数字图像以识别第一视图中的线。 在行中，确定了平行线。 基于三维空间中的数字图像的平行线和取向来确定三维空间中的三维消失方向。 通过将平面装配到消失方向，自动生成平面。 显示用平面渲染三维模型。 对应于照片共同特征的三维点可以用于约束平面。 照片可以投影到模型上，以便在编辑飞机时提供视觉反馈。 此外，照片可以用于纹理模型。
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公开(公告)号：US09152882B2
公开(公告)日：2015-10-06
申请号：US13162591
申请日：2011-06-17
IPC分类号： G06K9/62
CPC分类号： G06K9/6227 , G06K9/6231
摘要： A mobile device having the capability of performing real-time location recognition with assistance from a server is provided. The approximate geophysical location of the mobile device is uploaded to the server. Based on the mobile device's approximate geophysical location, the server responds by sending the mobile device a message comprising a classifier and a set of feature descriptors. This can occur before an image is captured for visual querying. The classifier and feature descriptors are computed during an offline training stage using techniques to minimize computation at query time. The classifier and feature descriptors are used to perform visual recognition in real-time by performing the classification on the mobile device itself.
摘要翻译： 提供了具有从服务器的协助执行实时位置识别能力的移动设备。 移动设备的近似地球物理位置被上传到服务器。 基于移动设备的近似地球物理位置，服务器通过向移动设备发送包括分类器和一组特征描述符的消息来进行响应。 这可能在捕获图像以进行视觉查询之前发生。 分类器和特征描述符在离线训练阶段使用技术来计算，以最小化查询时间的计算。 分类器和特征描述符用于通过在移动设备本身上执行分类来实时执行视觉识别。
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公开(公告)号：US08350850B2
公开(公告)日：2013-01-08
申请号：US12059794
申请日：2008-03-31
CPC分类号： G06T17/00 , G06T7/536 , G06T7/564 , G06T15/205 , G06T2200/08 , G06T2207/10016
摘要： A collection of photos and a three-dimensional reconstruction of the photos are used to construct and texture a mesh model. In one embodiment, a first digital image of a first view of a real world scene is analyzed to identify lines in the first view. Among the lines, parallel lines are identified. A three-dimensional vanishing direction in a three-dimensional space is determined based on the parallel lines and an orientation of the digital image in the three-dimensional space. A plane is automatically generated by fitting the plane to the vanishing direction. A rendering of a three-dimensional model with the plane is displayed. Three-dimensional points corresponding to features common to the photos may be used to constrain the plane. The photos may be projected onto the model to provide visual feedback when editing the plane. Furthermore, the photos may be used to texture the model.
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公开(公告)号：US08781250B2
公开(公告)日：2014-07-15
申请号：US12146605
申请日：2008-06-26
IPC分类号： G06K9/36
CPC分类号： G06T5/003 , G06T2207/10024
摘要： Described are techniques for image deconvolution to deblur an image given a blur kernel. Localized color statistics derived from the image to be deblurred serve as a prior constraint during deconvolution. A pixel's color is formulated as a linear combination of the two most prevalent colors within a neighborhood of the pixel. This may be repeated for many or all pixels in an image. The linear combinations of the pixels serve as a two-color prior for deconvolving the blurred image. The two-color prior is responsive to the content of the image and it may decouple edge sharpness from edge strength.
摘要翻译： 描述了用于图像去卷积去除给定模糊内核的图像的技术。 从去除图像的图像导出的局部化颜色统计作为反卷积期间的先前约束。 像素的颜色被形成为像素附近的两种最普遍的颜色的线性组合。 对于图像中的许多或所有像素可能重复这一点。 像素的线性组合用作用于解模糊图像的双色先验。 双色以前是响应于图像的内容，并且可以将边缘锐度与边缘强度分离。
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8.发明授权公开(公告)号：US08774274B2
公开(公告)日：2014-07-08
申请号：US13348262
申请日：2012-01-11
申请人： Simon Winder , Matthew T. Uyttendaele , Charles Lawrence Zitnick, III , Richard Szeliski , Sing Bing Kang
发明人： Simon Winder , Matthew T. Uyttendaele , Charles Lawrence Zitnick, III , Richard Szeliski , Sing Bing Kang
IPC分类号： H04N7/12
CPC分类号： H04N21/4347 , H04N13/111 , H04N19/109 , H04N19/39 , H04N19/593 , H04N19/597 , H04N19/61 , H04N19/70 , H04N19/96 , H04N21/2365
摘要： A process for compressing and decompressing non-keyframes in sequential sets of contemporaneous video frames making up multiple video streams where the video frames in a set depict substantially the same scene from different viewpoints. Each set of contemporaneous video frames has a plurality frames designated as keyframes with the remaining being non-keyframes. In one embodiment, the non-keyframes are compressed using a multi-directional spatial prediction technique. In another embodiment, the non-keyframes of each set of contemporaneous video frames are compressed using a combined chaining and spatial prediction compression technique. The spatial prediction compression technique employed can be a single direction technique where just one reference frame, and so one chain, is used to predict each non-keyframe, or it can be a multi-directional technique where two or more reference frames, and so chains, are used to predict each non-keyframe.
摘要翻译： 一种用于在构成多个视频流的同步视频帧的顺序集合中压缩和解压缩非关键帧的过程，其中集合中的视频帧从不同视点描绘基本相同的场景。 每组同时期的视频帧具有指定为关键帧的多个帧，其余的是非关键帧。 在一个实施例中，使用多方向空间预测技术来压缩非关键帧。 在另一个实施例中，使用组合链接和空间预测压缩技术来压缩每组同时期视频帧的非关键帧。 所使用的空间预测压缩技术可以是单向技术，其中仅使用一个参考帧，因此使用一条链来预测每个非关键帧，或者它可以是多方向技术，其中两个或更多个参考帧等 链，用于预测每个非关键帧。
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9.发明授权Performing structure from motion for unordered images of a scene with multiple object instances 有权对具有多个对象实例的场景的无序图像的运动执行结构公开(公告)号：US08620095B2
公开(公告)日：2013-12-31
申请号：US13047799
申请日：2011-03-15
IPC分类号： G06K9/62
CPC分类号： G06K9/6892 , G06K9/469 , G06T7/579 , G06T2207/20072 , G06T2207/20076 , G06T2207/30244
摘要： A technology is described for performing structure from motion for unordered images of a scene with multiple object instances. An example method can include obtaining a pairwise match graph using interest point detection for obtaining interest points in images of the scene to identify pairwise image matches using the interest points. Multiple metric two-view and three-view partial reconstructions can be estimated by performing independent structure from motion computation on a plurality of match-pairs and match-triplets selected from the pairwise match graph. Pairwise image matches can be classified into correct matches and erroneous matches using expectation maximization to generate geometrically consistent match labeling hypotheses and a scoring function to evaluate the match labeling hypotheses. A structure from motion computation can then be performed on the subset of match pairs which have been inferred as correct.
摘要翻译： 描述了用于对具有多个对象实例的场景的无序图像的运动执行结构的技术。 示例性方法可以包括使用兴趣点检测获得成对匹配图，以获得场景图像中的兴趣点，以使用兴趣点来识别成对图像匹配。 可以通过对从成对匹配图中选择的多个匹配对和匹配三元组上的运动计算执行独立结构来估计多度量双视图和三视图部分重建。 成对图像匹配可以使用期望最大化分类为正确匹配和错误匹配，以生成几何一致的匹配标签假设和评分函数来评估匹配标签假设。 然后可以对推断为正确的匹配对的子集执行来自运动计算的结构。
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公开(公告)号：US08463071B2
公开(公告)日：2013-06-11
申请号：US13418774
申请日：2012-03-13
CPC分类号： G06F3/04842 , G06F17/30274 , G06K9/00637 , G06K9/00697 , G06K9/00704 , G06K9/32 , G06T11/00
摘要： Over the past few years there has been a dramatic proliferation of digital cameras, and it has become increasingly easy to share large numbers of photographs with many other people. These trends have contributed to the availability of large databases of photographs. Effectively organizing, browsing, and visualizing such .seas. of images, as well as finding a particular image, can be difficult tasks. In this paper, we demonstrate that knowledge of where images were taken and where they were pointed makes it possible to visualize large sets of photographs in powerful, intuitive new ways. We present and evaluate a set of novel tools that use location and orientation information, derived semi-automatically using structure from motion, to enhance the experience of exploring such large collections of images.
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