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41. 发明申请

US20100328452A1 METHOD FOR POSE INVARIANT VESSEL FINGERPRINTING 有权
标题翻译：用于不定式船舶指纹的方法
公开(公告)号：US20100328452A1
公开(公告)日：2010-12-30
申请号：US12758507
申请日：2010-04-12
申请人： Sang-Hack Jung , Ajay Divakaran , Harpreet Singh Sawhney
发明人： Sang-Hack Jung , Ajay Divakaran , Harpreet Singh Sawhney
IPC分类号： H04N7/18 , G06K9/46
CPC分类号： G06K9/00771 , G06K9/6206 , G06K9/6211
摘要： A computer-implemented method for matching objects is disclosed. At least two images where one of the at least two images has a first target object and a second of the at least two images has a second target object are received. At least one first patch from the first target object and at least one second patch from the second target object are extracted. A distance-based part encoding between each of the at least one first patch and the at least one second patch based upon a corresponding codebook of image parts including at least one of part type and pose is constructed. A viewpoint of one of the at least one first patch is warped to a viewpoint of the at least one second patch. A parts level similarity measure based on the view-invariant distance measure for each of the at least one first patch and the at least one second patch is applied to determine whether the first target object and the second target object are the same or different objects.
摘要翻译：公开了一种用于匹配对象的计算机实现的方法。接收至少两个图像，其中至少两个图像中的一个具有第一目标对象，并且至少两个图像中的第二图像具有第二目标对象。提取来自第一目标对象的至少一个第一补丁和来自第二目标对象的至少一个第二补丁。构建基于包括部件类型和姿态中的至少一个的图像部件的对应码本的至少一个第一贴片和至少一个第二贴片中的每一个之间的基于距离的部件编码。所述至少一个第一贴片中的一个的视点弯曲到所述至少一个第二贴片的观点。应用基于对于至少一个第一贴片和至少一个第二贴片中的每一个的视图不变距离度量的零件级相似性度量来确定第一目标对象和第二目标对象是相同还是不同的对象。

42. 发明申请

US20090237508A1 METHOD AND APPARATUS FOR PROVIDING IMMERSIVE SURVEILLANCE 审中-公开
标题翻译：用于提供立体监视的方法和装置
公开(公告)号：US20090237508A1
公开(公告)日：2009-09-24
申请号：US12404261
申请日：2009-03-13
申请人： Aydin Arpa , Keith Hanna , Rakesh Kumar , Supun Samarasekera , Harpreet Singh Sawhney , Manoj Aggarwal , David Nister , Stephen Hsu
发明人： Aydin Arpa , Keith Hanna , Rakesh Kumar , Supun Samarasekera , Harpreet Singh Sawhney , Manoj Aggarwal , David Nister , Stephen Hsu
IPC分类号： H04N7/18
CPC分类号： G06T15/205 , G06T7/251 , G06T7/30 , G06T7/50 , G06T19/006 , G06T2207/30241 , G08B13/19608 , G08B13/19641 , G08B13/19693 , H04N7/181
摘要： A method and apparatus for providing immersive surveillance wherein a remote security guard may monitor a scene using a variety of imagery sources that are rendered upon a model to provide a three-dimensional conceptual view of the scene. Using a view selector, the security guard may dynamically select a camera view to be displayed on his conceptual model, perform a walk through of the scene, identify moving objects and select the best view of those moving objects and so on.
摘要翻译：一种用于提供沉浸式监视的方法和装置，其中远程安全保卫可以使用在模型上呈现的各种图像源来监视场景以提供场景的三维概念视图。使用视图选择器，安全警卫可以动态地选择要在其概念模型上显示的相机视图，执行场景的走过，识别移动对象并选择那些移动物体的最佳视图等等。

43. 发明申请

US20080144925A1 Stereo-Based Visual Odometry Method and System 有权
标题翻译：立体声视觉测距法和系统
公开(公告)号：US20080144925A1
公开(公告)日：2008-06-19
申请号：US11833498
申请日：2007-08-03
申请人： Zhiwei Zhu , Taragay Oskiper , Oleg Naroditsky , Supun Samarasekera , Harpreet Singh Sawhney , Rakesh Kumar
发明人： Zhiwei Zhu , Taragay Oskiper , Oleg Naroditsky , Supun Samarasekera , Harpreet Singh Sawhney , Rakesh Kumar
IPC分类号： G06K9/00
CPC分类号： G06K9/32 , G06K2209/40 , G06T7/248 , G06T7/593 , G06T7/74 , G06T2207/10021 , G06T2207/20164 , G06T2207/30212 , G06T2207/30252
摘要： A method for estimating pose from a sequence of images, which includes the steps of detecting at least three feature points in both the left image and right image of a first pair of stereo images at a first point in time; matching the at least three feature points in the left image to the at least three feature points in the right image to obtain at least three two-dimensional feature correspondences; calculating the three-dimensional coordinates of the at least three two-dimensional feature correspondences to obtain at least three three-dimensional reference feature points; tracking the at least three feature points in one of the left image and right image of a second pair of stereo images at a second point in time different from the first point in time to obtain at least three two-dimensional reference feature points; and calculating a pose based on the at least three three-dimensional reference feature points and its corresponding two-dimensional reference feature points in the stereo images. The pose is found by minimizing projection residuals of a set of three-dimensional reference feature points in an image plane.
摘要翻译：一种用于从图像序列估计姿态的方法，其包括以下步骤：在第一时间点检测第一对立体图像的左图像和右图像中的至少三个特征点; 将左图像中的至少三个特征点与右图像中的至少三个特征点匹配以获得至少三个二维特征对应; 计算所述至少三个二维特征对应的三维坐标以获得至少三个三维参考特征点; 在与第一时间点不同的第二时间点跟踪第二对立体图像的左图像和右图像之一中的至少三个特征点，以获得至少三个二维参考特征点; 以及基于立体图像中的至少三个三维参考特征点及其对应的二维参考特征点来计算姿势。通过使图像平面中的一组三维参考特征点的投影残差最小化来发现该姿势。

44. 发明授权

US06907073B2 Tweening-based codec for scaleable encoders and decoders with varying motion computation capability 有权
标题翻译：用于可扩展编码器和具有不同运动计算能力的解码器的补丁编解码器
公开(公告)号：US06907073B2
公开(公告)日：2005-06-14
申请号：US09731194
申请日：2000-12-06
申请人： Harpreet Singh Sawhney , Rakesh Kumar , Keith Hanna , Peter Burt , Norman Winarsky
发明人： Harpreet Singh Sawhney , Rakesh Kumar , Keith Hanna , Peter Burt , Norman Winarsky
IPC分类号： H04N7/26 , H04N7/46 , H04N7/50 , H04B1/66
CPC分类号： H04N19/577 , H04N19/107 , H04N19/132 , H04N19/137 , H04N19/17 , H04N19/33 , H04N19/44 , H04N19/587 , H04N19/59 , H04N19/61 , H04N19/63
摘要： A scaleable video encoder has one or more encoding modes in which at least some, and possibly all, of the motion information used during motion-based predictive encoding of a video stream is excluded from the resulting encoded video bitstream, where a corresponding video decoder is capable of performing its own motion computation to generate its own version of the motion information used to perform motion-based predictive decoding in order to decode the bitstream to generate a decoded video stream. All motion computation, whether at the encoder or the decoder, is preferably performed on decoded data. For example, frames may be encoded as either H, L, or B frames, where H frames are intra-coded at full resolution and L frames are intra-coded at low resolution. The motion information is generated by applying motion computation to decoded L and H frames and used to generate synthesized L frames. L-frame residual errors are generated by performing inter-frame differencing between the synthesized and original L frames and are encoded into the bitstream. In addition, synthesized B frames are generated by tweening between the decoded H and L frames and B-frame residual errors are generated by performing inter-frame differencing between the synthesized B frames and, depending on the implementation, either the original B frames or sub-sampled B frames. These B-frame residual errors are also encoded into the bitstream. The ability of the decoder to perform motion computation enables motion-based predictive encoding to be used to generate an encoded bitstream without having to expend bits for explicitly encoding any motion information.
摘要翻译：可缩放视频编码器具有一种或多种编码模式，其中，从所得到的编码视频比特流中排除在视频流的基于运动的预测编码期间使用的运动信息的至少一些，可能全部，其中相应的视频解码器是能够执行其自己的运动计算以产生用于执行基于运动的预测解码的运动信息的其自己的版本，以便解码比特流以生成解码的视频流。无论是在编码器还是解码器处，所有的运动计算优选地对解码的数据执行。例如，帧可以被编码为H帧，L帧或B帧，其中H帧以全分辨率进行帧内编码，并且L帧以低分辨率进行帧内编码。通过对解码的L帧和H帧应用运动计算产生运动信息，并用于产生合成的L帧。通过执行合成和原始L帧之间的帧间差分来生成L帧残差，并将其编码到比特流中。另外，通过在解码的H和L帧之间进行补间来产生合成的B帧，并且通过在合成的B帧之间执行帧间差分来生成B帧残差，并且根据实现，或者是原始的B帧或子帧采样B帧。这些B帧残差也被编码到比特流中。解码器执行运动计算的能力使基于运动的预测编码能够用于生成编码比特流，而不必花费用于明确编码任何运动信息的比特。

45. 发明授权

US06847728B2 Dynamic depth recovery from multiple synchronized video streams 有权
标题翻译：从多个同步视频流动态深度恢复
公开(公告)号：US06847728B2
公开(公告)日：2005-01-25
申请号：US10315291
申请日：2002-12-09
申请人： Hai Tao , Harpreet Singh Sawhney , Rakesh Kumar
发明人： Hai Tao , Harpreet Singh Sawhney , Rakesh Kumar
IPC分类号： G06T7/00 , G06K9/00
CPC分类号： G06T7/579
摘要： A method of generating a dynamic depth map for a sequence of images from multiple cameras models a scene as a collection of 3D piecewise planar surface patches induced by color based image segmentation. This representation is continuously estimated using an incremental formulation in which the 3D geometric, motion, and global visibility constraints are enforced over space and time. The proposed algorithm optimizes a cost function that incorporates the spatial color consistency constraint and a smooth scene motion model.
摘要翻译：为来自多个摄像机的图像序列生成动态深度图的方法将场景模拟为基于颜色的图像分割引起的3D分段平面表面贴片的集合。使用增量公式连续估计这种表示，其中3D几何，运动和全局可见性约束在空间和时间上被强制执行。所提出的算法优化了包含空间颜色一致性约束和平滑场景运动模型的成本函数。

46. 发明授权

US06826292B1 Method and apparatus for tracking moving objects in a sequence of two-dimensional images using a dynamic layered representation 有权
标题翻译：使用动态分层表示来跟踪二维图像序列中的移动物体的方法和装置
公开(公告)号：US06826292B1
公开(公告)日：2004-11-30
申请号：US09603666
申请日：2000-06-23
申请人： Hai Tao , Rakesh Kumar , Harpreet Singh Sawhney
发明人： Hai Tao , Rakesh Kumar , Harpreet Singh Sawhney
IPC分类号： G06K300
CPC分类号： G06K9/32 , G06T7/215 , G06T7/277 , G06T2207/10016 , G06T2207/10032 , G06T2207/20116 , G06T2207/30236 , G06T2207/30252
摘要： A system that tracks one or more moving objects in a sequence of video images employs a dynamic layer representation to represent the objects that are being tracked. The system concurrently estimates three components of the dynamic layer representation—layer segmentation, motion, and appearance—over time in a maximum a posteriori (MAP) framework. In order to enforce a global shape constraint and to maintain the layer segmentation over time, the subject invention imposes a prior constraint on parametric segmentation. In addition, the system uses a generalized Expectation-Maximization (EM) algorithm to compute an optimal solution. The system uses an object state that consists of representations of motion, appearance and ownership masks. The system applies a constant appearance model across multiple images in the video stream.
摘要翻译：跟踪视频图像序列中的一个或多个移动对象的系统采用动态层表示来表示正被跟踪的对象。该系统在最大后验（MAP）框架中同时估计动态层表示层分段，运动和随时间出现的三个组成部分。为了实施全局形状约束并且随着时间维持层分割，本发明对参数分割施加了先前的约束。此外，该系统使用广义期望最大化（EM）算法来计算最优解。系统使用由运动，外观和所有权掩码的表示组成的对象状态。系统在视频流中跨多个图像应用恒定外观模型。

47. 发明授权

US6078701A Method and apparatus for performing local to global multiframe alignment to construct mosaic images 失效
标题翻译：用于执行局部到全局多帧对准以构建马赛克图像的方法和装置
公开(公告)号：US6078701A
公开(公告)日：2000-06-20
申请号：US87242
申请日：1998-05-29
申请人： Stephen Charles Hsu , Rakesh Kumar , Harpreet Singh Sawhney , James R. Bergen , Doug Dixon , Vince Paragano , Gary Gendel
发明人： Stephen Charles Hsu , Rakesh Kumar , Harpreet Singh Sawhney , James R. Bergen , Doug Dixon , Vince Paragano , Gary Gendel
IPC分类号： G06T3/00 , G06T3/40 , G06T7/00 , G06T11/00 , H04N7/26 , G06K9/32
CPC分类号： G06T7/0026 , G06K9/32 , G06T11/00 , G06T3/4038 , G06T7/0028 , H04N19/23 , G06K2009/2045
摘要： A method and apparatus that determines the topology of a sequence of images and then globally aligns the images with respect to each image's neighboring images. The apparatus includes a topology determination module, a local coarse registration module, a local fine registration module, a global consistency module, and a color matching/blending module. To accurately render a mosaic image from a sequence of images the topology determination and global alignment processes are iterated to progressively produce accurately aligned images. The apparatus efficiently and accurately combines a plurality of source images into a seamless panoramic mosaic representation of a scene, of arbitrarily wide spatial and angular extent, regardless of the order of image acquisition.
摘要翻译：确定图像序列的拓扑并且然后相对于每个图像的相邻图像对图像进行全局对准的方法和装置。该装置包括拓扑确定模块，局部粗略注册模块，本地精细注册模块，全局一致性模块和颜色匹配/混合模块。为了从图像序列精确地渲染马赛克图像，迭代拓扑确定和全局对齐过程逐渐产生精确对齐的图像。无论图像获取的顺序如何，该设备将多个源图像有效且精确地组合成场景的无缝全景马赛克表示，具有任意宽的空间和角度范围。

48. 发明授权

US5664174A System and method for discovering similar time sequences in databases 失效
标题翻译：在数据库中发现类似时间序列的系统和方法
公开(公告)号：US5664174A
公开(公告)日：1997-09-02
申请号：US437746
申请日：1995-05-09
申请人： Rakesh Agrawal , King-Ip Lin , Harpreet Singh Sawhney , Kyuseok Shim
发明人： Rakesh Agrawal , King-Ip Lin , Harpreet Singh Sawhney , Kyuseok Shim
IPC分类号： G06F12/00 , G06F17/30
CPC分类号： G06F17/30548 , G06F17/30551 , G06F2216/03 , Y10S707/99931 , Y10S707/99933 , Y10S707/99935 , Y10S707/99936
摘要： A system and method for discovering similar time sequences in a database of time sequences includes a computer-implemented program which first breaks each sequence into small windows. The windows from the first sequence are compared to selected windows from the second sequence to determine which windows are similar. Pairs of similar windows are then stitched together when certain stitching constraints are met to establish pairs of similar subsequences. Likewise, pairs of similar subsequences are stitched together, and the lengths of the stitched subsequences are then compared to the overall length of the time sequences to determine whether the time sequences meet a similarity criteria.
摘要翻译：用于在时间序列数据库中发现类似时间序列的系统和方法包括计算机实现的程序，其首先将每个序列分解成小窗口。将来自第一序列的窗口与来自第二序列的所选窗口进行比较，以确定哪些窗口相似。然后，当满足某些缝合约束以建立相似的子序列对时，将对的相似的窗口缝合在一起。类似地，将相似的子序列对拼接在一起，然后将缝合子序列的长度与时间序列的总长度进行比较，以确定时间序列是否满足相似性标准。

49. 发明授权

US08345988B2 Method and apparatus for recognizing 3-D objects 有权
标题翻译：识别3-D物体的方法和装置
公开(公告)号：US08345988B2
公开(公告)日：2013-01-01
申请号：US11159969
申请日：2005-06-22
申请人： Ying Shan , Bogdan Calin Mihai Matei , Harpreet Singh Sawhney , Rakesh Kumar
发明人： Ying Shan , Bogdan Calin Mihai Matei , Harpreet Singh Sawhney , Rakesh Kumar
IPC分类号： G06K9/68
CPC分类号： G06K9/00201 , G06K9/00214 , G06K9/6211
摘要： A method and apparatus for recognizing an object, comprising providing a set of scene features from a scene, pruning a set of model features, generating a set of hypotheses associated with the pruned set of model features for the set of scene features, pruning the set of hypotheses, and verifying the set of pruned hypotheses is provided.
摘要翻译：一种用于识别对象的方法和装置，包括从场景提供一组场景特征，修剪一组模型特征，生成与所述一组场景特征的所述修剪的模型特征集合相关联的一组假设，修剪所述集合提供了假设，并提供了一套修剪的假设。

50. 发明授权

US08345930B2 Method for computing food volume in a method for analyzing food 有权
标题翻译：食物分析方法计算食物量的方法
公开(公告)号：US08345930B2
公开(公告)日：2013-01-01
申请号：US12758208
申请日：2010-04-12
申请人： Amir Tamrakar , Harpreet Singh Sawhney , Qian Yu , Ajay Divakaran
发明人： Amir Tamrakar , Harpreet Singh Sawhney , Qian Yu , Ajay Divakaran
IPC分类号： G06K9/00
CPC分类号： G06T7/0002 , G06T7/44 , G06T7/593 , G06T7/62 , G06T7/77 , G06T2207/20016 , G06T2207/30128
摘要： A computer-implemented method for estimating a volume of at least one food item on a food plate is disclosed. A first and second plurality of images are received from different positions above a food plate, wherein angular spacing between the positions of the first plurality of images is greater than angular spacing between the positions of the second plurality of images. A first set of poses of each of the first plurality of images is estimated. A second set of poses of each of the second plurality of images is estimated based on at least the first set of poses. A pair of images taken from each of the first and second plurality of images is rectified based on at least the first and second set of poses. A 3D point cloud is reconstructed based on at least the rectified pair of images. At least one surface of the at least one food item above the food plate is estimated based on at least the reconstructed 3D point cloud. The volume of the at least one food item is estimated based on the at least one surface.
摘要翻译：公开了一种用于估计食品板上的至少一种食品的体积的计算机实现的方法。从食品牌上方的不同位置接收第一和第二多个图像，其中第一多个图像的位置之间的角度间隔大于第二多个图像的位置之间的角度间隔。估计第一多个图像中的每一个的第一组姿势。基于至少第一组姿势来估计第二组多个图像中的每一个的第二组姿势。从第一和第二多个图像中的每一个拍摄的一对图像至少基于第一和第二组姿势进行整改。至少基于整流图像对来重构3D点云。基于至少重构的3D点云来估计食物板上方的至少一个食物的至少一个表面。基于至少一个表面来估计至少一个食物的体积。

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