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1. 发明授权

US08827710B2 Realtime user guidance for freehand drawing 有权
标题翻译：实时用户指导手绘
公开(公告)号：US08827710B2
公开(公告)日：2014-09-09
申请号：US13110923
申请日：2011-05-19
申请人： Charles Lawrence Zitnick, III , Yong Jae Lee , Michael Cohen
发明人： Charles Lawrence Zitnick, III , Yong Jae Lee , Michael Cohen
IPC分类号： G09B11/10 , G09B11/00
CPC分类号： G09B11/10 , G09B11/00
摘要： Architecture that guides the freeform drawing of objects by a user to enable the user to produce improved drawings without significant training. As the user draws, the architecture dynamically updates a relevant shadow image proximate (e.g., underlying) the user's strokes. The strokes overlay an evolving shadow image, which shadow image is suggestive of object contours that guide the user during the drawing process. Relevant edge images selected from a large database are automatically blended to construct the shadow image. As the user draws, the strokes are dynamically analyzed using an encoding of overlapping windows for fast matching with the database of images. A top ranked set of matching database edge images are aligned to the drawing, a set of spatially varying weights blend the edge images into the shadow image, and a scoring technique is employed to select the optimum shadow image for display.
摘要翻译：指导用户自由绘制对象的架构，以使用户能够在不进行重大培训的情况下生成改进的图纸。当用户绘制时，体系结构动态地更新用户笔画的邻近（例如，底层）的相关阴影图像。笔画覆盖了不断变化的阴影图像，阴影图像暗示着在绘图过程中引导用户的对象轮廓。从大数据库中选择的相关边缘图像将自动混合以构建阴影图像。当用户绘制时，使用重叠窗口的编码动态地分析笔画，以便与图像数据库快速匹配。匹配数据库边缘图像的顶级排列集合与图形对齐，一组空间变化的权重将边缘图像混合到阴影图像中，并且使用评分技术来选择用于显示的最佳阴影图像。

2. 发明申请

US20120295231A1 REALTIME USER GUIDANCE FOR FREEHAND DRAWING 有权
标题翻译：实时用户指导免费绘图
公开(公告)号：US20120295231A1
公开(公告)日：2012-11-22
申请号：US13110923
申请日：2011-05-19
申请人： Charles Lawrence Zitnick, III , Yong Jae Lee , Michael Cohen
发明人： Charles Lawrence Zitnick, III , Yong Jae Lee , Michael Cohen
IPC分类号： G09B11/00
CPC分类号： G09B11/10 , G09B11/00
摘要： Architecture that guides the freeform drawing of objects by a user to enable the user to produce improved drawings without significant training. As the user draws, the architecture dynamically updates a relevant shadow image proximate (e.g., underlying) the user's strokes. The strokes overlay an evolving shadow image, which shadow image is suggestive of object contours that guide the user during the drawing process. Relevant edge images selected from a large database are automatically blended to construct the shadow image. As the user draws, the strokes are dynamically analyzed using an encoding of overlapping windows for fast matching with the database of images. A top ranked set of matching database edge images are aligned to the drawing, a set of spatially varying weights blend the edge images into the shadow image, and a scoring technique is employed to select the optimum shadow image for display.
摘要翻译：指导用户自由绘制对象的架构，以使用户能够在不进行重大培训的情况下生成改进的图纸。当用户绘制时，体系结构动态地更新用户笔画的邻近（例如，底层）的相关阴影图像。笔画覆盖了不断变化的阴影图像，阴影图像暗示着在绘图过程中引导用户的对象轮廓。从大数据库中选择的相关边缘图像将自动混合以构建阴影图像。当用户绘制时，使用重叠窗口的编码动态地分析笔画，以便与图像数据库快速匹配。匹配数据库边缘图像的顶级排列集合与图形对齐，一组空间变化的权重将边缘图像混合到阴影图像中，并且使用评分技术来选择用于显示的最佳阴影图像。

3. 发明授权

US09098908B2 Generating a depth map 有权
标题翻译：生成深度图
公开(公告)号：US09098908B2
公开(公告)日：2015-08-04
申请号：US13278184
申请日：2011-10-21
申请人： Adam G. Kirk , Yaron Eshet , Kestutis Patiejunas , Sing Bing Kang , Charles Lawrence Zitnick, III , David Eraker , Simon Winder
发明人： Adam G. Kirk , Yaron Eshet , Kestutis Patiejunas , Sing Bing Kang , Charles Lawrence Zitnick, III , David Eraker , Simon Winder
IPC分类号： G06T7/00
CPC分类号： G06T7/0057 , G06T7/521 , G06T7/593 , G06T2207/10048
摘要： Methods and systems for generating a depth map are provided. The method includes projecting an infrared (IR) dot pattern onto a scene. The method also includes capturing stereo images from each of two or more synchronized IR cameras, detecting a number of dots within the stereo images, computing a number of feature descriptors for the dots in the stereo images, and computing a disparity map between the stereo images. The method further includes generating a depth map for the scene using the disparity map.
摘要翻译：提供了用于生成深度图的方法和系统。该方法包括将红外（IR）点图案投影到场景上。该方法还包括从两个或多个同步红外相机中的每一个捕获立体图像，检测立体图像内的点数，计算立体图像中的点的特征描述符的数量，以及计算立体图像之间的视差图。该方法还包括使用视差图生成场景的深度图。

4. 发明授权

US08184913B2 Clustering videos by location 有权
标题翻译：按位置分组视频
公开(公告)号：US08184913B2
公开(公告)日：2012-05-22
申请号：US12416152
申请日：2009-04-01
申请人： Simon J. Baker , Charles Lawrence Zitnick, III , Gerhard Florian Schroff
发明人： Simon J. Baker , Charles Lawrence Zitnick, III , Gerhard Florian Schroff
IPC分类号： G06K9/68
CPC分类号： G06K9/00718 , G06F17/30781 , G06F17/3082 , G06K9/6219 , Y02D10/45
摘要： Described is a technology in which video shots are clustered based upon the location at which the shots were captured. A global energy function is optimized, including a first term that computes clusters so as to be reasonably dense and well connected, to match the possible shots that are captured at a location, e.g., based on similarity scores between pairs of shots. A second term is a temporal prior that encourages subsequent shots to be placed in the same cluster. The shots may be represented as nodes of a minimum spanning tree having edges with weights that are based on the similarity score between the shots represented by their respective nodes. Agglomerative clustering is performed by selecting pairs of available clusters, merging the pairs and keeping the pair with the lowest cost. Clusters are iteratively merged until a stopping criterion or criteria is met (e.g., only a single cluster remains).
摘要翻译：描述了一种基于拍摄拍摄位置来进行视频拍摄的技术。优化了全局能量函数，包括计算集群以便相当密集和良好连接的第一项，以匹配在某个位置捕获的可能的拍摄，例如，基于拍摄对之间的相似性得分。第二个术语是时间先前，鼓励后续的镜头被放置在同一个集群中。拍摄可以被表示为具有基于由它们各自的节点表示的拍摄之间的相似性得分的权重的边缘的最小生成树的节点。通过选择成对的可用集群，合并对并保持成本最低的组合来执行集群聚类。集群被迭代合并，直到满足停止标准或条件（例如，仅剩下一个集群）。

5. 发明授权

US07702016B2 System and process for compressing and decompressing multiple, layered, video streams of a scene captured from different viewpoints forming a grid using spatial and temporal encoding 有权
标题翻译：用于压缩和解压缩从使用空间和时间编码形成网格的不同视点捕获的场景的多个分层视频流的系统和过程
公开(公告)号：US07702016B2
公开(公告)日：2010-04-20
申请号：US11097533
申请日：2005-03-31
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： H04B1/66 , H04N7/12 , H04N11/02 , H04N11/04 , H04N5/14 , H04N9/64
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 system and process for compressing and decompressing multiple video streams depicting substantially the same dynamic scene from different viewpoints that from a grid of viewpoints. Each frame in each contemporaneous set of video frames of the multiple streams is represented by at least a two layers—a main layer and a boundary layer. Compression of the main layers involves first designating one or more of these layers in each set of contemporaneous frames as keyframes. For each set of contemporaneous frames in time sequence order, the main layer of each keyframe is compressed using an inter-frame compression technique. In addition, the main layer of each non-keyframe within the frame set under consideration is compressed using a spatial prediction compression technique. Finally, the boundary layers of each frame in the current frame set are each compressed using an intra-frame compression technique. Decompression is generally the reverse of the compression process.
摘要翻译：一种用于压缩和解压缩从视点网格的不同观点描绘基本相同的动态场景的多个视频流的系统和过程。多个流的每个同期视频帧集合中的每个帧由至少两层（主层和边界层）表示。主要层的压缩包括首先将每组同期帧中的这些层中的一个或多个指定为关键帧。对于按时间顺序排列的每组同期帧，使用帧间压缩技术对每个关键帧的主层进行压缩。另外，使用空间预测压缩技术对所考虑的帧集合内的每个非关键帧的主层进行压缩。最后，使用帧内压缩技术对当前帧集合中每帧的边界层进行压缩。压缩通常与压缩过程相反。

6. 发明授权

US08774274B2 Compressing and decompressing multiple, layered, video streams employing multi-directional spatial encoding 有权
标题翻译：使用多向空间编码压缩和解压缩多个分层的视频流
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。

7. 发明授权

US08330802B2 Stereo movie editing 有权
标题翻译：立体声电影编辑
公开(公告)号：US08330802B2
公开(公告)日：2012-12-11
申请号：US12331419
申请日：2008-12-09
申请人： Sanjeev J. Koppal , Sing Bing Kang , Charles Lawrence Zitnick, III , Michael F. Cohen , Bryan Kent Ressler
发明人： Sanjeev J. Koppal , Sing Bing Kang , Charles Lawrence Zitnick, III , Michael F. Cohen , Bryan Kent Ressler
IPC分类号： H04N13/02
CPC分类号： H04N13/10
摘要： The stereo movie editing technique described herein combines knowledge of both multi-view stereo algorithms and human depth perception. The technique creates a digital editor, specifically for stereographic cinema. The technique employs an interface that allows intuitive manipulation of the different parameters in a stereo movie setup, such as camera locations and screen position. Using the technique it is possible to reduce or enhance well-known stereo movie effects such as cardboarding and miniaturization. The technique also provides new editing techniques such as directing the user's attention and easier transitions between scenes.
摘要翻译：这里描述的立体声电影编辑技术结合了多视角立体声算法和人类深度感知的知识。该技术创建了一个专门用于立体影院的数字编辑器。该技术采用允许在立体声电影设置中的不同参数的直观操纵的界面，例如相机位置和屏幕位置。使用该技术可以减少或增强诸如硬纸板和小型化的众所周知的立体电影效果。该技术还提供了新的编辑技术，例如指导用户的注意力和更容易的场景之间的转换。

8. 发明授权

US07903883B2 Local bi-gram model for object recognition 有权
标题翻译：用于对象识别的本地bi-gram模型
公开(公告)号：US07903883B2
公开(公告)日：2011-03-08
申请号：US11694938
申请日：2007-03-30
申请人： Charles Lawrence Zitnick, III , Xiangyang Lan , Richard S. Szeliski
发明人： Charles Lawrence Zitnick, III , Xiangyang Lan , Richard S. Szeliski
IPC分类号： G06K9/00
CPC分类号： G06K9/468 , G06K9/6296
摘要： A local bi-gram model object recognition system and method for constructing a local bi-gram model and using the model to recognize objects in a query image. In a learning phase, the local bi-gram model is constructed that represents objects found in a set of training images. The local bi-gram model is a local spatial model that only models the relationship of neighboring features without any knowledge of their global context. Object recognition is performed by finding a set of matching primitives in the query image. A tree structure of matching primitives is generated and a search is performed to find a tree structure of matching primitives that obeys the local bi-gram model. The local bi-gram model can be found using unsupervised learning. The system and method also can be used to recognize objects unsupervised that are undergoing non-rigid transformations for both object instance recognition and category recognition.
摘要翻译：一种局部双向模型对象识别系统和方法，用于构建局部双向模型，并使用该模型来识别查询图像中的对象。在学习阶段，构建了表示在一组训练图像中发现的对象的局部双语模型。当地的双语模型是一种局部空间模型，它只对相邻特征的关系进行建模，而无需了解其全局环境。通过在查询图像中找到一组匹配的基元来执行对象识别。生成匹配原语的树形结构，并执行搜索以找到符合本地双语模型的匹配原语的树结构。可以使用无监督学习找到当地的双语模型。系统和方法也可用于识别无监督的对象实例识别和类别识别正在进行非刚性转换的对象。

9. 发明授权

US09111349B2 Object identification using 3-D curve matching 有权
标题翻译：使用3-D曲线匹配的对象识别
公开(公告)号：US09111349B2
公开(公告)日：2015-08-18
申请号：US13328133
申请日：2011-12-16
申请人： Richard Stephan Szeliski , Edward Hsiao , Sudipta Narayan Sinha , Krishnan Ramnath , Charles Lawrence Zitnick, III , Simon John Baker
发明人： Richard Stephan Szeliski , Edward Hsiao , Sudipta Narayan Sinha , Krishnan Ramnath , Charles Lawrence Zitnick, III , Simon John Baker
IPC分类号： G06K9/00 , G06T7/00
CPC分类号： G06K9/00214 , G06K9/00785 , G06T7/564 , G06T2207/30236
摘要： The claimed subject matter provides for systems and/or methods for identification of instances of an object of interest in 2D images by creating a database of 3D curve models of each desired instance and comparing an image of an object of interest against such 3D curve models of instances. The present application describes identifying and verifying the make and model of a car from a possibly single image—after the models have been populated with training data of test images of many makes and models of cars. In one embodiment, an identification system may be constructed by generating a 3D curve model by back-projecting edge points onto a visual hull reconstruction from silhouettes of an instance. The system and methods employ chamfer distance and orientation distance provides reasonable verification performance, as well as an appearance model for the taillights of the car to increase the robustness of the system.
摘要翻译：所要求保护的主题提供用于通过创建每个期望实例的3D曲线模型的数据库来识别2D图像中感兴趣对象的实例的系统和/或方法，并将感兴趣对象的图像与3D图像的3D曲线模型进行比较实例。本申请描述了从可能单个图像中识别和验证汽车的品牌和型号 - 在模型已经填充有许多车型和车型的测试图像的训练数据之后。在一个实施例中，识别系统可以通过通过将边缘点反向投影到实例的轮廓的视觉船体重建上来生成3D曲线模型来构造。系统和方法采用倒角距离和取向距离提供合理的验证性能，以及汽车尾灯的外观模型，以提高系统的鲁棒性。

10. 发明申请

US20130156329A1 OBJECT IDENTIFICATION USING 3-D CURVE MATCHING 有权
标题翻译：使用三维曲线匹配的对象标识
公开(公告)号：US20130156329A1
公开(公告)日：2013-06-20
申请号：US13328133
申请日：2011-12-16
申请人： Richard Stephan Szeliski , Edward Hsiao , Sudipta Narayan Sinha , Krishnan Ramnath , Charles Lawrence Zitnick, III , Simon John Baker
发明人： Richard Stephan Szeliski , Edward Hsiao , Sudipta Narayan Sinha , Krishnan Ramnath , Charles Lawrence Zitnick, III , Simon John Baker
IPC分类号： G06K9/68 , G06T15/00
CPC分类号： G06K9/00214 , G06K9/00785 , G06T7/564 , G06T2207/30236
摘要： The claimed subject matter provides for systems and/or methods for identification of instances of an object of interest in 2D images by creating a database of 3D curve models of each desired instance and comparing an image of an object of interest against such 3D curve models of instances. The present application describes identifying and verifying the make and model of a car from a possibly single image—after the models have been populated with training data of test images of many makes and models of cars. In one embodiment, an identification system may be constructed by generating a 3D curve model by back-projecting edge points onto a visual hull reconstruction from silhouettes of an instance. The system and methods employ chamfer distance and orientation distance provides reasonable verification performance, as well as an appearance model for the taillights of the car to increase the robustness of the system.
摘要翻译：所要求保护的主题提供用于通过创建每个期望实例的3D曲线模型的数据库来识别2D图像中感兴趣对象的实例的系统和/或方法，并将感兴趣对象的图像与3D图像的3D曲线模型进行比较实例。本申请描述了从可能单个图像中识别和验证汽车的品牌和型号 - 在模型已经填充有许多车型和车型的测试图像的训练数据之后。在一个实施例中，识别系统可以通过通过将边缘点反向投影到实例的轮廓的视觉船体重建上来生成3D曲线模型来构造。系统和方法采用倒角距离和取向距离提供合理的验证性能，以及汽车尾灯的外观模型，以提高系统的鲁棒性。

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