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1. 发明申请

US20100322522A1 IMAGE MATCHING USING LINE SIGNATURE 有权
标题翻译：使用线路签名的图像匹配
公开(公告)号：US20100322522A1
公开(公告)日：2010-12-23
申请号：US12486506
申请日：2009-06-17
申请人： Lu Wang , Ulrich Neumann , Suya You
发明人： Lu Wang , Ulrich Neumann , Suya You
IPC分类号： G06K9/68 , G06K9/36
CPC分类号： G06K9/00704 , G06K9/6211
摘要： A method and system of matching features in a pair of images using line signatures. The method includes determining a first similarity measure between a first line signature in a first image in the pair of images and a second line signature in a second image in the pair of images; determining a second similarity measure between the first line signature in the first image and a third line signature in the second image; comparing the first similarity measure with a first threshold value; comparing a difference between the first similarity and the second similarity with a second threshold value; and if the first similarity measure is greater than the first threshold value and the difference between the first similarity and the second similarity is greater than the second threshold value, the first line signature and the second line signature produce a match.
摘要翻译：使用线签名匹配一对图像中的特征的方法和系统。该方法包括确定一对图像中的第一图像中的第一行签名与该对图像中的第二图像中的第二行签名之间的第一相似性度量; 确定第一图像中的第一行签名与第二图像中的第三行签名之间的第二相似性度量; 将所述第一相似性度量与第一阈值进行比较; 将第一相似度和第二相似度之间的差与第二阈值进行比较; 并且如果第一相似性度量大于第一阈值，并且第一相似度和第二相似度之间的差大于第二阈值，则第一行签名和第二行签名产生匹配。

2. 发明申请

US20140098094A1 THREE-DIMENSIONAL POINT PROCESSING AND MODEL GENERATION 有权
标题翻译：三维点处理和模型生成
公开(公告)号：US20140098094A1
公开(公告)日：2014-04-10
申请号：US13833078
申请日：2013-03-15
申请人： Ulrich NEUMANN , Suya YOU , Rongqi QIU , Guan PANG , Jing HUANG , Luciano NOCERA
发明人： Ulrich NEUMANN , Suya YOU , Rongqi QIU , Guan PANG , Jing HUANG , Luciano NOCERA
IPC分类号： G06T17/10
CPC分类号： G06T17/10 , G06K9/00214 , G06T2210/56
摘要： A scene point cloud is processed and a solution to an inverse-function is determined to determine its source objects. A primitive extraction process and a part matching process are used to compute the inverse function solution. The extraction process estimates models and parameters based on evidence of cylinder and planar geometry in the scene. The matching process matches clusters of 3D points to models of parts from a library. A selected part and its associated polygon model is used to represent the point cluster. Iterations of the extraction and matching processes complete a 3D model for a complex scene made up of planes, cylinders, and complex parts from the parts library. Connecting regions between primitives and/or parts are processed to determine their existence and type. Constraints may be used to ensure a connected model and alignment of its components.
摘要翻译：处理场景点云并确定反函数的解决方案以确定其源对象。使用原始提取过程和零件匹配过程来计算反函数解。提取过程基于场景中圆柱体和平面几何的证据来估计模型和参数。匹配过程将3D点的集合与库中的零件模型相匹配。所选部分及其相关联的多边形模型用于表示点集群。提取和匹配过程的迭代完成了由零件库中的平面，圆柱体和复杂零件组成的复杂场景的3D模型。处理原语和/或部分之间的连接区域以确定其存在和类型。约束可用于确保连接的模型和其组件的对齐。

3. 发明授权

US08406532B2 Image matching using line signature 有权
标题翻译：图像匹配使用线签名
公开(公告)号：US08406532B2
公开(公告)日：2013-03-26
申请号：US12486506
申请日：2009-06-17
申请人： Lu Wang , Ulrich Neumann , Suya You
发明人： Lu Wang , Ulrich Neumann , Suya You
IPC分类号： G06K9/62 , G06K9/36
CPC分类号： G06K9/00704 , G06K9/6211
摘要： A method and system of matching features in a pair of images using line signatures. The method includes determining a first similarity measure between a first line signature in a first image in the pair of images and a second line signature in a second image in the pair of images; determining a second similarity measure between the first line signature in the first image and a third line signature in the second image; comparing the first similarity measure with a first threshold value; comparing a difference between the first similarity and the second similarity with a second threshold value; and if the first similarity measure is greater than the first threshold value and the difference between the first similarity and the second similarity is greater than the second threshold value, the first line signature and the second line signature produce a match.
摘要翻译：使用线签名匹配一对图像中的特征的方法和系统。该方法包括确定一对图像中的第一图像中的第一行签名与该对图像中的第二图像中的第二行签名之间的第一相似性度量; 确定第一图像中的第一行签名与第二图像中的第三行签名之间的第二相似性度量; 将所述第一相似性度量与第一阈值进行比较; 将第一相似度和第二相似度之间的差与第二阈值进行比较; 并且如果第一相似性度量大于第一阈值，并且第一相似度和第二相似度之间的差大于第二阈值，则第一行签名和第二行签名产生匹配。

4. 发明授权

US07583275B2 Modeling and video projection for augmented virtual environments 有权
标题翻译：增强虚拟环境的建模和视频投影
公开(公告)号：US07583275B2
公开(公告)日：2009-09-01
申请号：US10676377
申请日：2003-09-30
申请人： Ulrich Neumann , Suya You
发明人： Ulrich Neumann , Suya You
IPC分类号： G09G5/02 , G09G5/14
CPC分类号： G06T17/00
摘要： Systems and techniques to implement augmented virtual environments. In one implementation, the technique includes: generating a three dimensional (3D) model of an environment from range sensor information representing a height field for the environment, tracking orientation information of image sensors in the environment with respect to the 3D model in real-time, projecting real-time video from the image sensors onto the 3D model based on the tracked orientation information, and visualizing the 3D model with the projected real-time video. Generating the 3D model can involve parametric fitting of geometric primitives to the range sensor information. The technique can also include: identifying in real time a region in motion with respect to a background image in real-time video, the background image being a single distribution background dynamically modeled from a time average of the real-time video, and placing a surface that corresponds to the moving region in the 3D model.
摘要翻译：实现增强虚拟环境的系统和技术。在一个实现中，该技术包括：从表示环境的高度场的范围传感器信息生成环境的三维（3D）模型，相对于3D模型实时跟踪环境中的图像传感器的定向信息将实时视频从图像传感器投影到基于跟踪方位信息的3D模型上，并用投影的实时视频可视化3D模型。生成3D模型可以涉及到距离传感器信息的几何图元的参数拟合。该技术还可以包括：实时地识别与实时视频中的背景图像相关的运动区域，背景图像是从实时视频的时间平均值动态建模的单个分布背景，并且将对应于3D模型中的移动区域的表面。

5. 发明申请

US20080278582A1 Video Fusion Display Systems 审中-公开
标题翻译：视频融合显示系统
公开(公告)号：US20080278582A1
公开(公告)日：2008-11-13
申请号：US12116166
申请日：2008-05-06
申请人： Tat Leung Chung , Ulrich Neumann , Suya You
发明人： Tat Leung Chung , Ulrich Neumann , Suya You
IPC分类号： H04N7/18
CPC分类号： H04N7/18
摘要： Methods, systems, and apparatus, including medium-encoded computer program products, for managing video bandwidth over a network connecting one or more cameras and one or more client video display stations. In one aspect, a system includes a data communication network, cameras coupled with the network, arranged in different locations, and operable to provide video imagery of the different locations via the network, one or more video fusion clients operable to display the video imagery of the different locations received via the network, one or more camera manager components operable to manage transmission of the video imagery from the cameras over the network based on client-side information, and one or more client manager components operable to define the client-side information based on display parameters of the one or more video fusion clients.
摘要翻译：包括媒体编码计算机程序产品的方法，系统和装置，用于通过连接一个或多个摄像机的网络和一个或多个客户端视频显示站来管理视频带宽。在一个方面，一种系统包括数据通信网络，与网络耦合的摄像机，布置在不同的位置，并且可操作以经由网络提供不同位置的视频图像，一个或多个视频融合客户端可操作以显示视频图像的视频图像经由网络接收的不同位置，一个或多个摄像机管理器组件，可操作以基于客户端信息来管理来自摄像机的摄像机的视频图像的传输，以及可操作以定义客户端信息的一个或多个客户端管理器组件基于一个或多个视频融合客户端的显示参数。

6. 发明授权

US06765569B2 Augmented-reality tool employing scene-feature autocalibration during camera motion 有权
标题翻译：增强现实工具在摄像机运动过程中采用场景特征自动校准
公开(公告)号：US06765569B2
公开(公告)日：2004-07-20
申请号：US09963850
申请日：2001-09-25
申请人： Ulrich Neumann , Suya You
发明人： Ulrich Neumann , Suya You
IPC分类号： G06T1500
CPC分类号： G06T7/75 , G06T7/80
摘要： An augmented reality tool makes use of autocalibrated features for rendering annotations into images of a scene as a camera moves about relative to the scene. The autocalibrated features are used for positioning the annotations and for recovery of tracking, correspondences and camera pose. An improved method of autocalibration for autocalibrating structured sets of point features together is also described. The augmented reality tool makes use of manual, semi-automatic and automatic methods employing autocalibrated features.
摘要翻译：增强现实工具利用自动校准的特征，以便在相机相对于场景移动时将注释渲染成场景的图像。自动校准功能用于定位注释和恢复跟踪，对应和相机姿态。还描述了一种自动校准用于自动校准一组点特征的结构化集合的改进方法。增强现实工具使用采用自动校准功能的手动，半自动和自动方法。

7. 发明授权

US09619691B2 Multi-view 3D object recognition from a point cloud and change detection 有权
公开(公告)号：US09619691B2
公开(公告)日：2017-04-11
申请号：US14641171
申请日：2015-03-06
申请人： Guan Pang , Jing Huang , Amir Anvar , Michael Brandon Casey , Christopher Lee Fisher , Suya You , Ulrich Neumann
发明人： Guan Pang , Jing Huang , Amir Anvar , Michael Brandon Casey , Christopher Lee Fisher , Suya You , Ulrich Neumann
IPC分类号： G06K9/00 , G06T7/00 , H04N13/00 , H04N13/02
CPC分类号： G06K9/00208 , G06K9/00691 , G06K2209/19 , G06T7/001 , G06T7/254 , G06T7/74 , G06T2207/10028 , G06T2207/30108 , H04N13/111 , H04N13/275
摘要： A method of detecting objects in three-dimensional (3D) point clouds and detecting differences between 3D point clouds and the objects therein is disclosed. A method includes receiving a first scene 3D point cloud and a second scene 3D point cloud, wherein the first scene 3D point cloud and the second scene 3D point cloud include first and second target objects, respectively; aligning the first scene 3D point cloud and the second scene 3D point cloud; detecting the first and second target objects from the first scene 3D point cloud and the second scene 3D point cloud, respectively; comparing the detected first target object with the detected second target object; and identifying, based on the comparison, one or more differences between the detected first target object and the detected second target object. Further aspects relate to detecting changes of target objects within scenes of multiple 3D point clouds.

8. 发明申请

US20150254499A1 MULTI-VIEW 3D OBJECT RECOGNITION FROM A POINT CLOUD AND CHANGE DETECTION 有权
标题翻译：从一个点云的多视图3D对象识别和更改检测
公开(公告)号：US20150254499A1
公开(公告)日：2015-09-10
申请号：US14641171
申请日：2015-03-06
申请人： Guan PANG , Jing HUANG , Amir ANVAR , Michael Brandon CASEY , Christopher Lee FISHER , Suya YOU , Ulrich NEUMANN
发明人： Guan PANG , Jing HUANG , Amir ANVAR , Michael Brandon CASEY , Christopher Lee FISHER , Suya YOU , Ulrich NEUMANN
IPC分类号： G06K9/00 , H04N13/00 , G06T7/00
CPC分类号： G06K9/00208 , G06K9/00691 , G06K2209/19 , G06T7/001 , G06T7/254 , G06T7/74 , G06T2207/10028 , G06T2207/30108 , H04N13/111 , H04N13/275
摘要： A method of detecting objects in three-dimensional (3D) point clouds and detecting differences between 3D point clouds and the objects therein is disclosed. A method includes receiving a first scene 3D point cloud and a second scene 3D point cloud, wherein the first scene 3D point cloud and the second scene 3D point cloud include first and second target objects, respectively; aligning the first scene 3D point cloud and the second scene 3D point cloud; detecting the first and second target objects from the first scene 3D point cloud and the second scene 3D point cloud, respectively; comparing the detected first target object with the detected second target object; and identifying, based on the comparison, one or more differences between the detected first target object and the detected second target object. Further aspects relate to detecting changes of target objects within scenes of multiple 3D point clouds.
摘要翻译：公开了一种在三维（3D）点云中检测对象并检测3D点云与其中的对象之间的差异的方法。一种方法包括接收第一场景3D点云和第二场景3D点云，其中第一场景3D点云和第二场景3D点云分别包括第一和第二目标对象; 对齐第一个场景3D点云和第二个场景3D点云; 分别从第一场景3D点云和第二场景3D点云检测第一和第二目标对象; 将检测到的第一目标对象与检测到的第二目标对象进行比较; 以及基于所述比较来识别所检测到的第一目标对象和所检测的第二目标对象之间的一个或多个差异。另外的方面涉及检测多个3D点云的场景内的目标对象的变化。

9. 发明申请

US20100092093A1 FEATURE MATCHING METHOD 审中-公开
标题翻译：特征匹配方法
公开(公告)号：US20100092093A1
公开(公告)日：2010-04-15
申请号：US12539786
申请日：2009-08-12
申请人： Yuichiro AKATSUKA , Takao SHIBASAKI , Yukihito FURUHASHI , Kazuo ONO , Ulrich NEUMANN , Suya YOU
发明人： Yuichiro AKATSUKA , Takao SHIBASAKI , Yukihito FURUHASHI , Kazuo ONO , Ulrich NEUMANN , Suya YOU
IPC分类号： G06K9/64 , G06K9/46
CPC分类号： G06Q30/06 , G06K9/6211 , G06K9/6212 , G06Q30/00 , G06T7/30 , G06T7/33 , G06T7/37 , G06T2207/20021 , G06T2207/20056
摘要： In a feature matching method for recognizing an object in two-dimensional or three-dimensional image data, features in each of which a predetermined attribute in the two-dimensional or three-dimensional image data takes a local maximum and/or minimum are detected, and features existing along edges and line contours from the detected features are excluded. Thereafter, the remaining features are allocated to a plane, some features are selected from the allocated features by using local information, and feature matching for the selected features being set as objects is performed.
摘要翻译：在用于识别二维或三维图像数据中的对象的特征匹配方法中，检测其中二维或三维图像数据中的预定属性具有局部最大值和/或最小值的特征，并且排除来自检测到的特征的沿边缘和线轮廓存在的特征。此后，将剩余的特征分配给平面，通过使用本地信息从分配的特征中选择一些特征，并且执行被设置为对象的所选特征的特征匹配。

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