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公开(公告)号：US20120188452A1
公开(公告)日：2012-07-26
申请号：US13189136
申请日：2011-07-22
IPC分类号： H04N5/44
CPC分类号： G06T13/00 , G06T15/205 , H04N5/2224
摘要： What is disclosed is a computer-implemented image-processing system and method for the automatic generation of video sequences that can be associated with a televised event. The methods can include the steps of: Defining a reference keyframe from a reference view from a source image sequence; From one or more keyframes, automatically computing one or more sets of virtual camera parameters; Generating a virtual camera flight path, which is described by a change of virtual camera parameters over time, and which defines a movement of a virtual camera and a corresponding change of a virtual view; and Rendering and storing a virtual video stream defined by the virtual camera flight path.
摘要翻译： 公开的是用于自动生成可与电视转播事件相关联的视频序列的计算机实现的图像处理系统和方法。 该方法可以包括以下步骤：从源图像序列从参考视图定义参考关键帧; 从一个或多个关键帧，自动计算一组或多组虚拟相机参数; 生成虚拟照相机飞行路径，其通过随时间变化的虚拟相机参数来描述，并且定义虚拟相机的移动和虚拟视图的相应变化; 并渲染并存储由虚拟照相机飞行路径定义的虚拟视频流。
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公开(公告)号：US20110267344A1
公开(公告)日：2011-11-03
申请号：US13096488
申请日：2011-04-28
申请人： Marcel Germann , Stephan Wuermlin Stadler , Richard Keiser , Remo Ziegler , Christoph Niederberger , Alexander Hornung , Marcus Gross
发明人： Marcel Germann , Stephan Wuermlin Stadler , Richard Keiser , Remo Ziegler , Christoph Niederberger , Alexander Hornung , Marcus Gross
CPC分类号： G06T15/205 , G06K9/00201 , G06T7/74 , G06T2207/10021 , G06T2207/30196
摘要： A computer-implemented method for estimating a pose of an articulated object model (4), wherein the articulated object model (4) is a computer based 3D model (1) of a real world object (14) observed by one or more source cameras (9), and wherein the pose of the articulated object model (4) is defined by the spatial location of joints (2) of the articulated object model (4), comprises the steps of obtaining a source image (10) from a video stream; processing the source image (10) to extract a source image segment (13); maintaining, in a database, a set of reference silhouettes, each being associated with an articulated object model (4) and a corresponding reference pose; comparing the source image segment (13) to the reference silhouettes and selecting reference silhouettes by taking into account, for each reference silhouette, a matching error that indicates how closely the reference silhouette matches the source image segment (13) and/or a coherence error that indicates how much the reference pose is consistent with the pose of the same real world object (14) as estimated from a preceding source image (10); retrieving the corresponding reference poses of the articulated object models (4); and computing an estimate of the pose of the articulated object model (4) from the reference poses of the selected reference silhouettes.
摘要翻译： 一种用于估计铰接对象模型（4）的姿态的计算机实现的方法，其中所述铰接对象模型（4）是由一个或多个源摄像机观察到的真实世界对象（14）的基于计算机的3D模型（1） （9），并且其中所述铰接对象模型（4）的姿态由所述铰接对象模型（4）的关节（2）的空间位置定义，包括以下步骤：从视频获得源图像（10） 流; 处理源图像（10）以提取源图像段（13）; 在数据库中维护一组参考轮廓，每个参考轮廓与铰接对象模型（4）和相应的参考姿势相关联; 将源图像段（13）与参考轮廓进行比较，并且通过考虑每个参考轮廓来选择参考轮廓，该匹配误差指示参考轮廓与源图像段（13）的匹配和/或相干误差 其指示参考姿势与从先前的源图像（10）估计的相同的真实世界对象（14）的姿态一致; 检索关节对象模型（4）的相应参考姿势; 以及从所选择的参考轮廓的参考姿势中计算所述铰接对象模型（4）的姿态的估计。
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3.发明授权Method and system for generating a 3D representation of a dynamically changing 3D scene 有权用于生成动态变化的3D场景的3D表示的方法和系统公开(公告)号：US09406131B2
公开(公告)日：2016-08-02
申请号：US12302928
申请日：2007-05-24
CPC分类号： G06T7/002 , A63B2024/0025 , G06K9/00724 , G06T5/005 , G06T7/20 , G06T7/292 , G06T7/593 , G06T7/85 , G06T15/205 , G06T2200/08 , G06T2207/30221 , G06T2207/30241
摘要： A method for generating a 3D representation of a dynamically changing 3D scene, which includes the steps of: acquiring at least two synchronised video streams (120) from at least two cameras located at different locations and observing the same 3D scene (102); determining camera parameters, which comprise the orientation and zoom setting, for the at least two cameras (103); tracking the movement of objects (310a,b, 312a,b; 330a,b, 331a,b, 332a,b; 410a,b, 411a,b; 430a,b, 431a,b; 420a,b, 421a,b) in the at least two video streams (104); determining the identity of the objects in the at least two video streams (105); determining the 3D position of the objects by combining the information from the at least two video streams (106); wherein the step of tracking (104) the movement of objects in the at least two video streams uses position information derived from the 3D position of the objects in one or more earlier instants in time. As a result, the quality, speed and robustness of the 2D tracking in the video streams is improved.
摘要翻译： 一种用于生成动态变化的3D场景的3D表示的方法，其包括以下步骤：从位于不同位置的至少两个摄像机获取至少两个同步的视频流（120）并观察相同的3D场景（102）; 确定包括所述至少两个照相机（103）的取向和变焦设置的相机参数; 跟踪物体（310a，b，312a，b; 330a，b，331a，b，332a，b; 410a，b，411a，b; 410a，b，411a，b; 430a，b，431a，b; 420a，b， 在所述至少两个视频流（104）中; 确定所述至少两个视频流（105）中的对象的身份; 通过组合来自至少两个视频流（106）的信息来确定对象的3D位置; 其中跟踪（104）所述至少两个视频流中的对象的移动的步骤使用从一个或多个先前时刻的对象的3D位置导出的位置信息。 结果，提高了视频流中2D跟踪的质量，速度和鲁棒性。
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公开(公告)号：US09117113B2
公开(公告)日：2015-08-25
申请号：US14117593
申请日：2012-05-08
申请人： Tiberiu Popa , Marcel Germann , Richard Keiser , Markus Gross , Remo Ziegler
发明人： Tiberiu Popa , Marcel Germann , Richard Keiser , Markus Gross , Remo Ziegler
CPC分类号： G06K9/00342 , G06K9/00724 , G06T7/73 , G06T2207/10021 , G06T2207/30196 , G06T2207/30228
摘要： Estimating a pose of an articulated 3D object model (4) by a computer is done by •obtaining a sequence of source images (10) and therefrom corresponding source image segments (13) with objects (14) separated from the image background; •matching such a sequence (51) with sequences (52) of reference silhouettes (13′), determining one or more selected sequences of reference silhouettes (13′) forming a best match; •for each of these selected sequences of reference silhouettes (13′), retrieving a reference pose that is associated with one of the reference silhouettes (13′); and •computing an estimate of the pose of the articulated object model (4) from the retrieved reference pose or poses. The result of these steps is an initial pose estimate, which then can be used in further steps, for example, for maintaining local consistency between pose estimates from consecutive frames, and global consistency over a longer sequence of frames.
摘要翻译： 通过计算机估计关节式3D对象模型（4）的姿态是通过以下步骤完成的：通过从图像背景分离的对象（14）获得源图像序列（10）和源自相应源图像片段（13）的序列; •将这样的序列（51）与参考轮廓（13'）的序列（52）匹配，确定形成最佳匹配的一个或多个所选择的参考轮廓序列（13'）; •对于这些所选择的参考轮廓序列（13'）中的每一个，检索与所述参考轮廓（13'）之一相关联的参考姿势; 以及•从检索的参考姿势或姿势计算所述铰接对象模型（4）的姿态的估计。 这些步骤的结果是初始姿态估计，其然后可以用于进一步的步骤，例如，用于维持来自连续帧的姿态估计之间的局部一致性，以及在更长的帧序列上的全局一致性。
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公开(公告)号：US08830236B2
公开(公告)日：2014-09-09
申请号：US13096488
申请日：2011-04-28
申请人： Marcel Germann , Stephan Wuermlin Stadler , Richard Keiser , Remo Ziegler , Christoph Niederberger , Alexander Hornung , Marcus Gross
发明人： Marcel Germann , Stephan Wuermlin Stadler , Richard Keiser , Remo Ziegler , Christoph Niederberger , Alexander Hornung , Marcus Gross
IPC分类号： G06T17/00
CPC分类号： G06T15/205 , G06K9/00201 , G06T7/74 , G06T2207/10021 , G06T2207/30196
摘要： A computer-implemented method for estimating a pose of an articulated object model that is a computer based 3D model of a real world object observed by one or more source cameras, including the steps of obtaining a source image from a video stream; processing the source image to extract a source image segment maintaining, in a database, a set of reference silhouettes, each being associated with an articulated object model and a corresponding reference pose; comparing the source image segment to the reference silhouettes and selecting reference silhouettes by taking into account, for each reference silhouette, a matching error that indicates how closely the reference silhouette matches the source image segment retrieving the corresponding reference poses of the articulated object models; and computing an estimate of the pose of the articulated object model from the reference poses of the selected reference silhouettes.
摘要翻译： 一种用于估计作为由一个或多个源摄像机观测到的真实世界对象的基于计算机的3D模型的关节对象模型的姿态的计算机实现的方法，包括以下步骤：从视频流获取源图像; 处理源图像以提取源图像段，其在数据库中保持一组参考轮廓，每个参考轮廓与铰接对象模型和相应的参考姿势相关联; 将源图像段与参考轮廓进行比较，并且通过考虑每个参考轮廓来选择参考轮廓，该匹配误差指示参考轮廓与检索相关联的对象模型的相应参考姿势的源图像段匹配的距离; 以及从所选择的参考轮廓的参考姿势计算所述铰接对象模型的姿态的估计。
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公开(公告)号：US20140219550A1
公开(公告)日：2014-08-07
申请号：US14117593
申请日：2012-05-08
申请人： Tiberiu Popa , Marcel Germann , Richard Keiser , Markus Gross , Remo Ziegler
发明人： Tiberiu Popa , Marcel Germann , Richard Keiser , Markus Gross , Remo Ziegler
CPC分类号： G06K9/00342 , G06K9/00724 , G06T7/73 , G06T2207/10021 , G06T2207/30196 , G06T2207/30228
摘要： Estimating a pose of an articulated 3D object model (4) by a computer is done by •obtaining a sequence of source images (10) and therefrom corresponding source image segments (13) with objects (14) separated from the image background; •matching such a sequence (51) with sequences (52) of reference silhouettes (13′), determining one or more selected sequences of reference silhouettes (13′) forming a best match; •for each of these selected sequences of reference silhouettes (13′), retrieving a reference pose that is associated with one of the reference silhouettes (13′); and •computing an estimate of the pose of the articulated object model (4) from the retrieved reference pose or poses. The result of these steps is an initial pose estimate, which then can be used in further steps, for example, for maintaining local consistency between pose estimates from consecutive frames, and global consistency over a longer sequence of frames.
摘要翻译： 通过计算机估计关节式3D对象模型（4）的姿态是通过以下步骤完成的：通过从图像背景分离的对象（14）获得源图像序列（10）和源自相应源图像片段（13）的序列; •将这样的序列（51）与参考轮廓（13'）的序列（52）匹配，确定形成最佳匹配的一个或多个所选择的参考轮廓序列（13'）; •对于这些所选择的参考轮廓序列（13'）中的每一个，检索与所述参考轮廓（13'）之一相关联的参考姿势; 以及•从检索的参考姿势或姿势计算所述铰接对象模型（4）的姿态的估计。 这些步骤的结果是初始姿态估计，其然后可以用于进一步的步骤，例如，用于维持来自连续帧的姿态估计之间的局部一致性，以及在更长的帧序列上的全局一致性。
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公开(公告)号：US20140037213A1
公开(公告)日：2014-02-06
申请号：US14110790
申请日：2012-04-02
申请人： Christoph Niederberger , Stephan Wurmlin Stadler , Remo Ziegler , Marco Feriencik , Andreas Burch , Urs Donni , Richard Keiser , Julia Vogel Wenzin
发明人： Christoph Niederberger , Stephan Wurmlin Stadler , Remo Ziegler , Marco Feriencik , Andreas Burch , Urs Donni , Richard Keiser , Julia Vogel Wenzin
IPC分类号： G06K9/00
CPC分类号： G06K9/00624 , G06T11/00 , G06T2200/04 , G06T2207/10016 , G06T2207/30228 , G06T2219/004
摘要： A method of processing image data includes providing an image sequence such as a video sequence, or a camera transition, identifying a region-of-interest in at least one image of the image sequence, defining a transition region around the region-of-interest and defining a remaining portion of the image to be a default region or background region, applying different image effects to the region-of-interest, the transition region and the background region.
摘要翻译： 处理图像数据的方法包括提供图像序列，例如视频序列或相机转换，识别图像序列的至少一个图像中的感兴趣区域，定义感兴趣区域周围的过渡区域 以及将所述图像的剩余部分定义为默认区域或背景区域，对所述感兴趣区域，所述过渡区域和所述背景区域应用不同的图像效果。
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