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1.发明授权Line tracking with automatic model initialization by graph matching and cycle detection 有权通过图形匹配和循环检测自动模拟初始化的线跟踪公开(公告)号：US09582896B2
公开(公告)日：2017-02-28
申请号：US13416721
申请日：2012-03-09
CPC分类号： G06T7/251 , G06T2207/10016
摘要： A vision based tracking system in a mobile platform tracks objects using groups of detected lines. The tracking system detects lines in a captured image of the object to be tracked. Groups of lines are formed from the detected lines. The groups of lines may be formed by computing intersection points of the detected lines and using intersection points to identified connected lines, where the groups of lines are formed using connected lines. A graph of the detected lines may be constructed and intersection points identified. Interesting subgraphs are generated using the connections and the group of lines is formed with the interesting subgraphs. Once the groups of lines are formed, the groups of lines are used to track the object, e.g., by comparing the groups of lines in a current image of the object to groups of lines in a previous image of the object.
摘要翻译： 移动平台中的基于视觉的跟踪系统使用检测到的线路组跟踪对象。 跟踪系统检测要跟踪的对象的捕获图像中的线。 线组由检测线形成。 线组可以通过计算所检测的线的交点并使用交叉点来识别连接的线来形成，其中使用连接的线形成线组。 可以构建检测到的线的图形，并确定交点。 使用连接生成有趣的子图，并且组的线条与有趣的子图形成。 一旦形成了一组线条，例如通过将对象的当前图像中的线组与对象的先前图像中的线组进行比较来将线组用于跟踪对象。
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2.发明申请LINE TRACKING WITH AUTOMATIC MODEL INITIALIZATION BY GRAPH MATCHING AND CYCLE DETECTION 有权通过图形匹配和循环检测进行自动模型初始化的线跟踪公开(公告)号：US20130057700A1
公开(公告)日：2013-03-07
申请号：US13416721
申请日：2012-03-09
CPC分类号： G06T7/251 , G06T2207/10016
摘要： A vision based tracking system in a mobile platform tracks objects using groups of detected lines. The tracking system detects lines in a captured image of the object to be tracked. Groups of lines are formed from the detected lines. The groups of lines may be formed by computing intersection points of the detected lines and using intersection points to identified connected lines, where the groups of lines are formed using connected lines. A graph of the detected lines may be constructed and intersection points identified. Interesting subgraphs are generated using the connections and the group of lines is formed with the interesting subgraphs. Once the groups of lines are formed, the groups of lines are used to track the object, e.g., by comparing the groups of lines in a current image of the object to groups of lines in a previous image of the object.
摘要翻译： 移动平台中的基于视觉的跟踪系统使用检测到的线路组跟踪对象。 跟踪系统检测要跟踪的对象的捕获图像中的线。 线组由检测线形成。 线组可以通过计算所检测的线的交点并使用交叉点来识别连接的线来形成，其中使用连接的线形成线组。 可以构建检测到的线的图形，并确定交点。 使用连接生成有趣的子图，并且组的线条与有趣的子图形成。 一旦形成了一组线条，例如通过将对象的当前图像中的线组与对象的先前图像中的线组进行比较来将线组用于跟踪对象。
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公开(公告)号：US20120293635A1
公开(公告)日：2012-11-22
申请号：US13456061
申请日：2012-04-25
申请人： Piyush Sharma , Ashwin Swaminathan , Ramin Rezaiifar , Qi Xue
发明人： Piyush Sharma , Ashwin Swaminathan , Ramin Rezaiifar , Qi Xue
CPC分类号： G06K9/00234 , G06T7/73 , G06T2207/10016 , G06T2207/10024 , G06T2207/10028 , G06T2207/30201
摘要： A three-dimensional pose of the head of a subject is determined based on depth data captured in multiple images. The multiple images of the head are captured, e.g., by an RGBD camera. A rotation matrix and translation vector of the pose of the head relative to a reference pose is determined using the depth data. For example, arbitrary feature points on the head may be extracted in each of the multiple images and provided along with corresponding depth data to an Extended Kalman filter with states including a rotation matrix and a translation vector associated with the reference pose for the head and a current orientation and a current position. The three-dimensional pose of the head with respect to the reference pose is then determined based on the rotation matrix and the translation vector.
摘要翻译： 基于在多个图像中捕获的深度数据来确定被摄体头部的三维姿态。 头部的多个图像例如通过RGBD照相机被捕获。 使用深度数据确定头部相对于参考姿势的姿态的旋转矩阵和平移向量。 例如，可以在多个图像的每一个中提取头上的任意特征点，并将其与相应的深度数据一起提供给扩展卡尔曼滤波器，该扩展卡尔曼滤波器的状态包括旋转矩阵和与头部的参考姿势相关联的平移矢量， 当前方向和当前位置。 然后基于旋转矩阵和平移向量来确定头部相对于参考姿势的三维姿态。
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4.发明申请公开(公告)号：US20120062702A1
公开(公告)日：2012-03-15
申请号：US13082187
申请日：2011-04-07
申请人： Bolan Jiang , Ashwin Swaminathan , Serafin Diaz Spindola , Dheeraj Ahuja , Charles Wheeler Sweet, III , Prasun Choudhury
发明人： Bolan Jiang , Ashwin Swaminathan , Serafin Diaz Spindola , Dheeraj Ahuja , Charles Wheeler Sweet, III , Prasun Choudhury
CPC分类号： G06T7/74 , G06T19/006 , G06T2207/10004 , G06T2207/30244
摘要： A multi-user augmented reality (AR) system operates without a previously acquired common reference by generating a reference image on the fly. The reference image is produced by capturing at least two images of a planar object and using the images to determine a pose (position and orientation) of a first mobile platform with respect to the planar object. Based on the orientation of the mobile platform, an image of the planar object, which may be one of the initial images or a subsequently captured image, is warped to produce the reference image of a front view of the planar object. The reference image may be produced by the mobile platform or by, e.g., a server. Other mobile platforms may determine their pose with respect to the planar object using the reference image to perform a multi-user augmented reality application.
摘要翻译： 多用户增强现实（AR）系统通过即时生成参考图像而无需先前获取的公共参考。 通过捕获平面物体的至少两个图像并使用图像来确定第一移动平台相对于平面对象的姿势（位置和方位）来产生参考图像。 基于移动平台的方向，可以将平面对象的图像（其可以是初始图像之一或随后的拍摄图像）扭曲，以产生平面对象的前视图的参考图像。 参考图像可以由移动平台或者例如由服务器产生。 其他移动平台可以使用参考图像来确定其相对于平面对象的姿态来执行多用户增强现实应用。
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公开(公告)号：US20120027290A1
公开(公告)日：2012-02-02
申请号：US13193294
申请日：2011-07-28
申请人： Pawan Kumar Baheti , Sundeep Vaddadi , Ashwin Swaminathan , Yuriy Reznik , Onur C. Hamsici , Murali Ramaswamy Chari , John H. Hong , Chong Uk Lee
发明人： Pawan Kumar Baheti , Sundeep Vaddadi , Ashwin Swaminathan , Yuriy Reznik , Onur C. Hamsici , Murali Ramaswamy Chari , John H. Hong , Chong Uk Lee
IPC分类号： G06K9/62
CPC分类号： G06K9/6857 , G06K9/4671
摘要： In one example, an apparatus includes a processor configured to extract a first set of one or more keypoints from a first set of blurred images of a first octave of a received image, calculate a first set of one or more descriptors for the first set of keypoints, receive a confidence value for a result produced by querying a feature descriptor database with the first set of descriptors, wherein the result comprises information describing an identity of an object in the received image, and extract a second set of one or more keypoints from a second set of blurred images of a second octave of the received image when the confidence value does not exceed a confidence threshold. In this manner, the processor may perform incremental feature descriptor extraction, which may improve computational efficiency of object recognition in digital images.
摘要翻译： 在一个示例中，设备包括处理器，其被配置为从接收到的图像的第一个八度音阶的第一组模糊图像中提取一个或多个关键点的第一组，计算第一组的一个或多个描述符 关键点，通过用第一组描述符查询特征描述符数据库而产生的结果的置信度值，其中结果包括描述接收到的图像中的对象的身份的信息，并且从一个或多个关键点中提取一个或多个关键点的第二组 当置信度值不超过置信度阈值时，接收图像的第二倍频程的第二组模糊图像。 以这种方式，处理器可以执行增量特征描述符提取，这可以提高数字图像中对象识别的计算效率。
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公开(公告)号：US07814108B2
公开(公告)日：2010-10-12
申请号：US12058001
申请日：2008-03-28
IPC分类号： G06F17/30
CPC分类号： G06F17/30864 , G06F17/30675
摘要： Systems and methods to perform efficient searching for web content using a search engine are provided. In an illustrative implementation, a computing environment comprises a search engine computing application having an essential pages module operative to execute one or more selected selection algorithms to select content from a cooperating data store. In an illustrative operation, the exemplary search engine executes on a received search query to generate search results. Operatively, the retrieved results can be generated based upon their joint coverage of the submitted search query by deploying a selected sequential forward floating selection (SFFS) algorithm executing on the essential pages module. In the illustrative operation, the SFFS algorithm can operate to iteratively add one and delete one element from the set to improve a coverage score until no further improvement can be attained. The resultant processed search results can be considered essential pages.
摘要翻译： 提供了使用搜索引擎执行有效搜索Web内容的系统和方法。 在说明性实现中，计算环境包括搜索引擎计算应用，其具有可操作以执行一个或多个所选择的选择算法以从协作数据存储中选择内容的基本页面模块。 在说明性操作中，示例性搜索引擎在接收到的搜索查询上执行以产生搜索结果。 可操作地，可以基于通过部署在基本页面模块上执行的选择的顺序前向浮动选择（SFFS）算法对所提交的搜索查询的联合覆盖来生成检索结果。 在说明性操作中，SFFS算法可以操作以迭代地添加一个元素并从集合中删除一个元素以提高覆盖分数，直到不能获得进一步的改进。 所得到的处理后的搜索结果可以被认为是必不可少的页面。
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公开(公告)号：US20090164426A1
公开(公告)日：2009-06-25
申请号：US12058001
申请日：2008-03-28
IPC分类号： G06F7/06
CPC分类号： G06F17/30864 , G06F17/30675
摘要： Systems and methods to perform efficient searching for web content using a search engine are provided. In an illustrative implementation, a computing environment comprises a search engine computing application having an essential pages module operative to execute one or more selected selection algorithms to select content from a cooperating data store. In an illustrative operation, the exemplary search engine executes on a received search query to generate search results. Operatively, the retrieved results can be generated based upon their joint coverage of the submitted search query by deploying a selected sequential forward floating selection (SFFS) algorithm executing on the essential pages module. In the illustrative operation, the SFFS algorithm can operate to iteratively add one and delete one element from the set to improve a coverage score until no further improvement can be attained. The resultant processed search results can be considered essential pages.
摘要翻译： 提供了使用搜索引擎执行有效搜索Web内容的系统和方法。 在说明性实现中，计算环境包括搜索引擎计算应用，其具有可操作以执行一个或多个所选择的选择算法以从协作数据存储中选择内容的基本页面模块。 在说明性操作中，示例性搜索引擎在接收到的搜索查询上执行以产生搜索结果。 可操作地，可以基于通过部署在基本页面模块上执行的选择的顺序前向浮动选择（SFFS）算法对所提交的搜索查询的联合覆盖来生成检索结果。 在说明性操作中，SFFS算法可以操作以迭代地添加一个元素并从集合中删除一个元素以提高覆盖分数，直到不能获得进一步的改进。 所得到的处理后的搜索结果可以被认为是必不可少的页面。
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公开(公告)号：US10248184B2
公开(公告)日：2019-04-02
申请号：US13292578
申请日：2011-11-09
摘要： An apparatus and method for a framework exposing an API (application programming interface) to web-based server applications on the internet or in the cloud is presented. The API allows server applications to retrieve sensor data from a mobile device via a low-power sensor core processor on a mobile device. This API eliminates effort and cost associated with developing and promoting a new mobile device client application. The API framework includes APIs that web-based application may use to fetch sensor data from one or more particular sensors on the mobile device.
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公开(公告)号：US20170235736A1
公开(公告)日：2017-08-17
申请号：US15274605
申请日：2016-09-23
申请人： Ashwin Swaminathan , Yinian Mao , Guan-Ming Su , Hongmei Gou , Avinash Varna , Shan He , Min Wu , Douglas W. Oard
发明人： Ashwin Swaminathan , Yinian Mao , Guan-Ming Su , Hongmei Gou , Avinash Varna , Shan He , Min Wu , Douglas W. Oard
CPC分类号： G06F16/24578 , G06F16/3335 , G06F16/48 , G06F16/951 , G06F21/6218 , G06F21/6227 , H04L9/008 , H04L9/3236 , H04L2209/60
摘要： A confidentiality preserving system and method for performing a rank-ordered search and retrieval of contents of a data collection. The system includes at least one computer system including a search and retrieval algorithm using term frequency and/or similar features for rank-ordering selective contents of the data collection, and enabling secure retrieval of the selective contents based on the rank-order. The search and retrieval algorithm includes a baseline algorithm, a partially server oriented algorithm, and/or a fully server oriented algorithm. The partially and/or fully server oriented algorithms use homomorphic and/or order preserving encryption for enabling search capability from a user other than an owner of the contents of the data collection. The confidentiality preserving method includes using term frequency for rank-ordering selective contents of the data collection, and retrieving the selective contents based on the rank-order.
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10.发明授权Framework for reference-free drift-corrected planar tracking using Lucas-Kanade optical flow 有权使用Lucas-Kanade光流的无参考漂移校正平面跟踪框架公开(公告)号：US09014421B2
公开(公告)日：2015-04-21
申请号：US13247939
申请日：2011-09-28
IPC分类号： G06T7/20
CPC分类号： G06T7/2066 , G06T7/207 , G06T7/269 , G06T2207/10016 , G06T2207/20016 , G06T2207/30244
摘要： Reference free tracking of position by a mobile platform is performed using images of a planar surface. Tracking is performed optical flow techniques, such as pyramidal Lucas-Kanade optical flow with multiple levels of resolution, where displacement is determined with pixel accuracy at lower resolutions and at sub-pixel accuracy at full resolution, which improves computation time for real time performance. Periodic drift correction is performed by matching features between a current frame and a keyframe. The keyframe may be replaced with the drift corrected current image.
摘要翻译： 使用平面表面的图像来执行移动平台对位置的自由跟踪。 跟踪是执行光流技术，例如具有多级分辨率的锥形Lucas-Kanade光流，其中以较低分辨率的像素精度和全分辨率的子像素精度确定位移，这改善了实时性能的计算时间。 通过匹配当前帧和关键帧之间的特征来执行周期漂移校正。 关键帧可以用漂移校正的当前图像代替。
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