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1. 发明授权

US08391548B1 Tracking multiple moving targets in digital video 有权
标题翻译：跟踪数字视频中的多个移动目标
公开(公告)号：US08391548B1
公开(公告)日：2013-03-05
申请号：US12470480
申请日：2009-05-21
申请人： Gerard Medioni , Qian Yu
发明人： Gerard Medioni , Qian Yu
IPC分类号： G06K9/00
CPC分类号： G06K9/00771
摘要： Tracking multiple targets can include making different observations based on multiple different frames of one or more digital video feeds, determining an initial cover based on the observations, performing one or more modifications to the initial cover to generate a final cover, and using the final cover to track multiple targets in the one or more digital video feeds. Performing one or more modifications to generate a final cover can include selecting one or more adjustments from a group that includes temporal cover adjustments and spatial cover adjustments, and can include using likelihood information indicative of similarities in motion and appearance to distinguish different targets in the frames.
摘要翻译：跟踪多个目标可以包括基于一个或多个数字视频馈送的多个不同帧来进行不同的观察，基于观察确定初始覆盖，对初始覆盖执行一个或多个修改以产生最终覆盖，并且使用最终覆盖以跟踪一个或多个数字视频馈送中的多个目标。执行一个或多个修改以生成最终封面可以包括从包括时间覆盖调整和空间覆盖调整的组中选择一个或多个调整，并且可以包括使用表示运动和外观的相似性的似然信息来区分帧中的不同目标。

2. 发明授权

US08351649B1 Video feed target tracking 有权
标题翻译：视频Feed目标跟踪
公开(公告)号：US08351649B1
公开(公告)日：2013-01-08
申请号：US12416913
申请日：2009-04-01
申请人： Gerard Medioni , Qian Yu , Thang Ba Dinh
发明人： Gerard Medioni , Qian Yu , Thang Ba Dinh
IPC分类号： G06K9/00
CPC分类号： G06K9/6282 , G06K9/00771 , G06T7/251 , G06T2207/10016 , G06T2207/30201
摘要： Technologies for object tracking can include accessing a video feed that captures an object in at least a portion of the video feed; operating a generative tracker to capture appearance variations of the object operating a discriminative tracker to discriminate the object from the object's background, where operating the discriminative tracker can include using a sliding window to process data from the video feed, and advancing the sliding window to focus the discriminative tracker on recent appearance variations of the object; training the generative tracker and the discriminative tracker based on the video feed, where the training can include updating the generative tracker based on an output of the discriminative tracker, and updating the discriminative tracker based on an output of the generative tracker; and tracking the object with information based on an output from the generative tracker and an output from the discriminative tracker.
摘要翻译：用于对象跟踪的技术可以包括访问在视频馈送的至少一部分中捕获对象的视频馈送; 操作生成跟踪器以捕获操作鉴别跟踪器的对象的外观变化，以区分对象与对象的背景，其中操作鉴别性跟踪器可以包括使用滑动窗口来处理来自视频馈送的数据，以及将滑动窗口推进到焦点最近出现的对象变化的歧视性追踪器; 基于所述视频馈送来训练所述生成跟踪器和所述歧视性跟踪器，其中所述训练可以包括基于所述识别跟踪器的输出来更新所述生成跟踪器，以及基于所述生成跟踪器的输出来更新所述识别跟踪器; 以及基于来自生成跟踪器的输出和来自辨别性跟踪器的输出的信息来跟踪对象。

3. 发明授权

US08073196B2 Detection and tracking of moving objects from a moving platform in presence of strong parallax 有权
标题翻译：在存在强视差的情况下，从移动平台检测和跟踪移动物体
公开(公告)号：US08073196B2
公开(公告)日：2011-12-06
申请号：US11873390
申请日：2007-10-16
申请人： Chang Yuan , Gerard Medioni , Jinman Kang , Isaac Cohen
发明人： Chang Yuan , Gerard Medioni , Jinman Kang , Isaac Cohen
IPC分类号： G06K9/00
CPC分类号： G06K9/32 , G06T7/215 , G06T7/579
摘要： Among other things, methods, systems and computer program products are described for detecting and tracking a moving object in a scene. One or more residual pixels are identified from video data. At least two geometric constraints are applied to the identified one or more residual pixels. A disparity of the one or more residual pixels to the applied at least two geometric constraints is calculated. Based on the detected disparity, the one or more residual pixels are classified as belonging to parallax or independent motion and the parallax classified residual pixels are filtered. Further, a moving object is tracked in the video data. Tracking the object includes representing the detected disparity in probabilistic likelihood models. Tracking the object also includes accumulating the probabilistic likelihood models within a number of frames during the parallax filtering. Further, tracking the object includes based on the accumulated probabilistic likelihood models, extracting an optimal path of the moving object.
摘要翻译：其中，描述了用于检测和跟踪场景中的移动物体的方法，系统和计算机程序产品。从视频数据识别一个或多个残留像素。至少两个几何约束被应用于所识别的一个或多个残余像素。计算一个或多个残余像素与应用的至少两个几何约束的差异。基于检测到的视差，将一个或多个残余像素分类为属于视差或独立运动，并且对视差分类的残留像素进行滤波。此外，在视频数据中跟踪移动对象。跟踪对象包括表示在概率似然模型中检测到的差异。跟踪对象还包括在视差滤波期间在多个帧内累积概率似然模型。此外，跟踪对象包括基于累积的概率似然模型，提取移动对象的最佳路径。

4. 发明申请

US20070183653A1 3D Face Reconstruction from 2D Images 有权
标题翻译： 2D图像的3D脸部重建
公开(公告)号：US20070183653A1
公开(公告)日：2007-08-09
申请号：US11669099
申请日：2007-01-30
申请人： Gerard Medioni , Douglas Fidaleo
发明人： Gerard Medioni , Douglas Fidaleo
IPC分类号： G06K9/00 , G06K9/46
CPC分类号： G06K9/00208 , G06K9/00221 , G06T7/55 , G06T7/74 , G06T2207/30201 , G06T2207/30244
摘要： A 3D face reconstruction technique using 2D images, such as photographs of a face, is described. Prior face knowledge or a generic face is used to extract spars(e 3D information from the images and to identify image pairs. Bundle adjustment is carried out to determine more accurate 3D camera positions, image pairs are rectified, and dense 3D face information is extracted without using the prior face knowledge. Outliers are removed, e.g., by using tensor voting. A 3D surface is extracted from the dense 3D information and surface detail is extracted from the images.
摘要翻译：描述使用2D图像的3D脸部重建技术，例如脸部的照片。使用先前的面部知识或通用面来提取spars（e图像中的3D信息和识别图像对，进行捆绑调整以确定更准确的3D相机位置，图像对被纠正，并且提取密集的3D面部信息不使用先前的面部知识，例如通过使用张量投票来移除异常值，从密集的3D信息中提取3D表面，并从图像中提取表面细节。

5. 发明授权

US09582889B2 Depth mapping based on pattern matching and stereoscopic information 有权
标题翻译：基于模式匹配和立体信息的深度映射
公开(公告)号：US09582889B2
公开(公告)日：2017-02-28
申请号：US12844864
申请日：2010-07-28
申请人： Alexander Shpunt , Gerard Medioni , Daniel Cohen , Erez Sali , Ronen Deitch
发明人： Alexander Shpunt , Gerard Medioni , Daniel Cohen , Erez Sali , Ronen Deitch
IPC分类号： H04N13/02 , G06K9/00 , G06T7/00
CPC分类号： G06T7/521 , G01B11/22 , G01B11/25 , G06T7/593 , G06T2207/10024 , G06T2207/10028 , H04N5/33 , H04N13/239 , H04N13/25 , H04N13/254 , H04N13/271 , H04N13/296
摘要： A method for depth mapping includes projecting a pattern of optical radiation onto an object. A first image of the pattern on the object is captured using a first image sensor, and this image is processed to generate pattern-based depth data with respect to the object. A second image of the object is captured using a second image sensor, and the second image is processed together with another image to generate stereoscopic depth data with respect to the object. The pattern-based depth data is combined with the stereoscopic depth data to create a depth map of the object.
摘要翻译：用于深度映射的方法包括将光辐射图案投影到物体上。使用第一图像传感器捕获对象上的图案的第一图像，并且处理该图像以生成关于对象的基于图案的深度数据。使用第二图像传感器捕获对象的第二图像，并且与另一图像一起处理第二图像以生成关于对象的立体深度数据。基于图案的深度数据与立体深度数据组合以创建对象的深度图。

6. 发明申请

US20120321128A1 VIDEO FEED TARGET TRACKING 有权
标题翻译：视频进给目标跟踪
公开(公告)号：US20120321128A1
公开(公告)日：2012-12-20
申请号：US12416913
申请日：2009-04-01
申请人： GERARD MEDIONI , QIAN YU , THANG BA DINH
发明人： GERARD MEDIONI , QIAN YU , THANG BA DINH
IPC分类号： G06K9/00
CPC分类号： G06K9/6282 , G06K9/00771 , G06T7/251 , G06T2207/10016 , G06T2207/30201
摘要： Technologies for object tracking can include accessing a video feed that captures an object in at least a portion of the video feed; operating a generative tracker to capture appearance variations of the object operating a discriminative tracker to discriminate the object from the object's background, where operating the discriminative tracker can include using a sliding window to process data from the video feed, and advancing the sliding window to focus the discriminative tracker on recent appearance variations of the object; training the generative tracker and the discriminative tracker based on the video feed, where the training can include updating the generative tracker based on an output of the discriminative tracker, and updating the discriminative tracker based on an output of the generative tracker; and tracking the object with information based on an output from the generative tracker and an output from the discriminative tracker.
摘要翻译：用于对象跟踪的技术可以包括访问在视频馈送的至少一部分中捕获对象的视频馈送; 操作生成跟踪器以捕获操作鉴别跟踪器的对象的外观变化，以区分对象与对象的背景，其中操作鉴别性跟踪器可以包括使用滑动窗口来处理来自视频馈送的数据，以及将滑动窗口推进到焦点最近出现的对象变化的歧视性追踪器; 基于所述视频馈送来训练所述生成跟踪器和所述歧视性跟踪器，其中所述训练可以包括基于所述识别跟踪器的输出来更新所述生成跟踪器，以及基于所述生成跟踪器的输出来更新所述识别跟踪器; 以及基于来自生成跟踪器的输出和来自辨别性跟踪器的输出的信息来跟踪对象。

7. 发明授权

US07953675B2 Tensor voting in N dimensional spaces 失效
标题翻译：在N维空间中进行投票
公开(公告)号：US07953675B2
公开(公告)日：2011-05-31
申请号：US11480285
申请日：2006-06-29
申请人： Gerard Medioni , Philippos Mordohai
发明人： Gerard Medioni , Philippos Mordohai
IPC分类号： G06F15/18
CPC分类号： G06N99/005 , G06K9/6252
摘要： A tensor voting scheme which can be used in an arbitrary number N of dimensions, up to several hundreds. The voting scheme can operate on unorganized point inputs, which can be oriented or unoriented, and estimate the intrinsic dimensionality at each point. Moreover it can estimate the tangent and normal space of a manifold passing through each point based solely on local operations.
摘要翻译：一个张量投票方案，可以用于任意数量N的维度，最多可达数百个。投票方案可以对无组织的点输入进行操作，可以定向或不定向，并估计每个点的固有维数。此外，它可以仅基于本地操作来估计通过每个点的歧管的切线和正常空间。

8. 发明授权

US07856125B2 3D face reconstruction from 2D images 有权
标题翻译： 2D图像的3D脸部重建
公开(公告)号：US07856125B2
公开(公告)日：2010-12-21
申请号：US11669099
申请日：2007-01-30
申请人： Gerard Medioni , Douglas Fidaleo
发明人： Gerard Medioni , Douglas Fidaleo
IPC分类号： G06K9/00
CPC分类号： G06K9/00208 , G06K9/00221 , G06T7/55 , G06T7/74 , G06T2207/30201 , G06T2207/30244
摘要： A 3D face reconstruction technique using 2D images, such as photographs of a face, is described. Prior face knowledge or a generic face is used to extract sparse 3D information from the images and to identify image pairs. Bundle adjustment is carried out to determine more accurate 3D camera positions, image pairs are rectified, and dense 3D face information is extracted without using the prior face knowledge. Outliers are removed, e.g., by using tensor voting. A 3D surface is extracted from the dense 3D information and surface detail is extracted from the images.
摘要翻译：描述使用2D图像的3D脸部重建技术，例如脸部的照片。先前的面部知识或通用面部用于从图像中提取稀疏的3D信息并识别图像对。进行捆绑调整以确定更准确的3D相机位置，图像对被纠正，并且提取密集的3D面部信息而不使用先前的面部知识。异常值被移除，例如通过使用张量投票。从密集的3D信息中提取3D表面，并从图像中提取表面细节。

9. 发明申请

US20080152213A1 3D FACE RECONSTRUCTION FROM 2D IMAGES 有权
公开(公告)号：US20080152213A1
公开(公告)日：2008-06-26
申请号：US11828214
申请日：2007-07-25
申请人： GERARD MEDIONI , DOUGLAS FIDALEO
发明人： GERARD MEDIONI , DOUGLAS FIDALEO
IPC分类号： G06K9/00
CPC分类号： G06K9/00208 , G06K9/00221 , G06T7/55 , G06T7/74 , G06T2207/30201 , G06T2207/30244
摘要： A 3D face reconstruction technique using 2D images, such as photographs of a face, is described. Prior face knowledge or a generic face is used to extract sparse 3D information from the images and to identify image pairs. Bundle adjustment is carried out to determine more accurate 3D camera positions, image pairs are rectified, and dense 3D face information is extracted without using the prior face knowledge. Outliers are removed, e.g., by using tensor voting. A 3D surface is extracted from the dense 3D information and surface detail is extracted from the images.

10. 发明授权

US09483703B2 Online coupled camera pose estimation and dense reconstruction from video 有权
标题翻译：在线耦合摄像机姿态估计和视频的重建
公开(公告)号：US09483703B2
公开(公告)日：2016-11-01
申请号：US14120370
申请日：2014-05-14
申请人： Gerard Medioni , Zhuoliang Kang
发明人： Gerard Medioni , Zhuoliang Kang
IPC分类号： H04N13/02 , G06K9/46 , G06T7/00 , G06K9/00
CPC分类号： G06K9/46 , G06K9/00201 , G06K9/00637 , G06T7/579 , G06T7/75 , G06T2207/10032 , G06T2207/30184
摘要： A product may receive each image in a stream of video image of a scene, and before processing the next image, generate information indicative of the position and orientation of an image capture device that captured the image at the time of capturing the image. The product may do so by identifying distinguishable image feature points in the image; determining a coordinate for each identified image feature point; and for each identified image feature point, attempting to identify one or more distinguishable model feature points in a three dimensional (3D) model of at least a portion of the scene that appears likely to correspond to the identified image feature point. Thereafter, the product may find each of the following that, in combination, produce a consistent projection transformation of the 3D model onto the image: a subset of the identified image feature points for which one or more corresponding model feature points were identified; and, for each image feature point that has multiple likely corresponding model feature points, one of the corresponding model feature points.The product may update a 3D model of at least a portion of the scene following the receipt of each video image and before processing the next video image base on the generated information indicative of the position and orientation of the image capture device at the time of capturing the received image. The product may display the updated 3D model after each update to the model.
摘要翻译：该产品可以在接收到每个视频图像之后更新场景的至少一部分的3D模型，并且在基于生成的指示图像拍摄装置在拍摄时的位置和取向的信息处理下一个视频图像之前更新3D模型收到的图像。每次更新模型后，产品可能会显示更新的3D模型。

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