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1. 发明授权

US09759589B2 Determining fluid leakage volume in pipelines 有权
公开(公告)号：US09759589B2
公开(公告)日：2017-09-12
申请号：US14128640
申请日：2012-03-31
申请人： Felipe Albertao , Ying Chen , Jin Huang , Chunhua Tian , Hao Wang , Jing Xiao
发明人： Felipe Albertao , Ying Chen , Jin Huang , Chunhua Tian , Hao Wang , Jing Xiao
IPC分类号： G01F1/34 , F17D5/02 , G01M3/28
CPC分类号： F17D5/06 , F17D5/02 , G01F1/34 , G01F22/02 , G01M3/2815
摘要： A method and an apparatus for determining leakage volume of fluid in transportation pipelines are provided. The method comprises: obtaining the negative pressure wave signals detected by at least two pressure sensors arranged on the pipeline; determining the pressure signal at the leakage location based on the negative pressure wave signals; determining the leakage rate during a leakage period based on the pressure signal at the leakage location according to a leakage model; and determining the leakage volume of the fluid in the pipeline based on the leakage rate and the leakage period. The apparatus provided corresponds to the method described above. By using the method and apparatus described above, the leakage volume of the transportation pipelines can be obtained to help understand the leakage profile of the pipelines and thus reduce losses.

2. 发明授权

US08948522B2 Adaptive threshold for object detection 有权
标题翻译：物体检测的自适应阈值
公开(公告)号：US08948522B2
公开(公告)日：2015-02-03
申请号：US13198412
申请日：2011-08-04
申请人： Yuanyuan Ding , Jing Xiao
发明人： Yuanyuan Ding , Jing Xiao
IPC分类号： G06K9/62 , G06K9/46
CPC分类号： G06K9/624 , G06K9/4642 , G06K9/6269
摘要： Systems and methods for developing and using adaptive threshold values for different input images for object detection are disclosed. In embodiments, detector response histogram-based systems and methods train models for predicting optimal threshold values for different images. In embodiments, when training the model, an optimal threshold value for an image is defined as the value that maximizes the reduction of false positive image patches while preserving as many true positive image patches as possible. Once trained, the model may be used to set different threshold values for different images by inputting a detector response histogram for the image patches of an image into the model to determine a threshold value for detection.
摘要翻译：公开了用于开发和使用用于对象检测的不同输入图像的自适应阈值的系统和方法。在实施例中，基于检测器响应直方图的系统和方法训练用于预测不同图像的最佳阈值的模型。在实施例中，当训练模型时，图像的最佳阈值被定义为最大化假阳性图像斑块的减少的值，同时保留尽可能多的真正的正图像斑块。一旦被训练，该模型可以用于通过将图像的图像块的检测器响应直方图输入到模型中来确定用于检测的阈值来为不同的图像设置不同的阈值。

3. 发明授权

US08933928B2 Multiview face content creation 有权
标题翻译： Multiview面对内容创作
公开(公告)号：US08933928B2
公开(公告)日：2015-01-13
申请号：US13303044
申请日：2011-11-22
申请人： Derek Shiell , Jing Xiao
发明人： Derek Shiell , Jing Xiao
IPC分类号： G06T15/00 , G06T17/00 , G06T15/20
CPC分类号： G06T17/00 , G06T15/205
摘要： New views of a 2D image are generated by identifying an object class within the image, such as through a face detector. The face is then fitted to a model face by means of an AAM, and the results extended to a fitted 3D polygon mesh face. A boundary perimeter with predefined anchor points and a predefined triangulation with the 3D polygon mesh is defined a predefined depth distance from the depth center of known landmarks within the 3D polygon mesh face. By rotating the 3D polygon mesh face relative to the boundary perimeter, which may follow the perimeter of the input image, new views of the input image are generated.
摘要翻译：通过识别图像内的对象类（例如通过面部检测器）来生成2D图像的新视图。然后通过AAM将面部安装到模型面上，并将结果扩展到拟合的3D多边形网格面。定义了与3D多边形网格预定义三角剖分的边界周界，与3D多边形网格面内的已知界标深度中心的预定深度距离。通过旋转3D多边形网格面相对于可能跟随输入图像的周边的边界周界，生成输入图像的新视图。

4. 发明授权

US08917907B2 Continuous linear dynamic systems 有权
标题翻译：连续线性动态系统
公开(公告)号：US08917907B2
公开(公告)日：2014-12-23
申请号：US13406011
申请日：2012-02-27
申请人： Jinjun Wang , Jing Xiao
发明人： Jinjun Wang , Jing Xiao
IPC分类号： G06K9/00 , G06K9/62
CPC分类号： G06K9/00765 , G06K9/00335 , G06K9/6297
摘要： Aspects of the present invention include systems and methods for segmentation and recognition of action primitives. In embodiments, a framework, referred to as the Continuous Linear Dynamic System (CLDS), comprises two sets of Linear Dynamic System (LDS) models, one to model the dynamics of individual primitive actions and the other to model the transitions between actions. In embodiments, the inference process estimates the best decomposition of the whole sequence into continuous alternating between the two set of models, using an approximate Viterbi algorithm. In this way, both action type and action boundary may be accurately recognized.
摘要翻译：本发明的方面包括用于分割和识别动作原语的系统和方法。在实施例中，被称为连续线性动态系统（CLDS）的框架包括两组线性动态系统（LDS）模型，其中一个模型用于对各个原始动作的动力学进行建模，另一组模型对动作之间的转换进行建模。在实施例中，推理过程使用近似维特比算法来估计整个序列的最佳分解到两组模型之间的连续交替。以这种方式，可以准确地识别动作类型和动作边界。

5. 发明授权

US08817071B2 Context constrained novel view interpolation 有权
标题翻译：背景约束小说视图插值
公开(公告)号：US08817071B2
公开(公告)日：2014-08-26
申请号：US12814920
申请日：2010-06-14
申请人： Xianwang Wang , Jing Xiao
发明人： Xianwang Wang , Jing Xiao
IPC分类号： H04N17/02 , G06K9/48 , G06K9/00
CPC分类号： G06T15/205 , G06T7/90 , G06T7/97 , G06T17/00 , G06T2207/20228 , H04N13/111 , H04N13/243
摘要： Aspects of the present invention include systems and methods for generating a novel view interpolation. In embodiments, feature correspondences and geometrical contexts are used to find additional correspondences based on the assumption of the local linear transformation. The accuracy and the number of correspondence matches may be improved by iterative refinement. Having obtained a set of correspondences, a novel view image can be generated.
摘要翻译：本发明的方面包括用于生成新颖视图插值的系统和方法。在实施例中，使用特征对应和几何上下文来基于局部线性变换的假设来找到附加的对应关系。可以通过迭代细化来改善对准匹配的准确性和数量。获得了一组通信，可以生成一个新颖的视图图像。

6. 发明授权

US08606010B2 Identifying text pixels in scanned images 失效
标题翻译：识别扫描图像中的文本像素
公开(公告)号：US08606010B2
公开(公告)日：2013-12-10
申请号：US13051223
申请日：2011-03-18
申请人： Jing Xiao
发明人： Jing Xiao
IPC分类号： G06K9/34
CPC分类号： G06K9/6257 , G06K2209/01
摘要： A processor and method make use of multiple weak classifiers to construct a single strong classifier to identify regions that contain text within an input image document. The weak classifiers are grouped by their computing cost from low to median to high, and each weak classifier is assigned a weight value based on its ability to accurately identify text regions. A level 1 classifier is constructed by selecting weak classifiers from the low group, a level 2 classifier is constructed by selecting weak classifiers from the low and median groups, and a level 3 classifier is constructed by selecting weak classifiers from the low, median and high groups. Regions that the level 1 classifier identifies as containing text are submitted to the level 2 classifier, and regions that the level 2 classifier identifies as containing text are submitted to the level 3 classifier.
摘要翻译：处理器和方法利用多个弱分类器来构造单个强分类器来识别包含输入图像文档内的文本的区域。弱分类器的计算成本从低到中等到高，每个弱分类器都基于其准确识别文本区域的能力来分配权重值。通过从低组中选择弱分类器构建1级分类器，通过从低和中值组中选择弱分类器构建2级分类器，通过从低，中，高选择弱分类器构建3级分类器团体 1级分类器识别为包含文本的区域被提交给2级分类器，2级分类器识别为包含文本的区域被提交到3级分类器。

7. 发明授权

US08565482B2 Local difference pattern based local background modeling for object detection 有权
标题翻译：基于局部差异模式的本地背景建模对象检测
公开(公告)号：US08565482B2
公开(公告)日：2013-10-22
申请号：US13198382
申请日：2011-08-04
申请人： Yuanyuan Ding , Jing Xiao
发明人： Yuanyuan Ding , Jing Xiao
IPC分类号： G06K9/46 , G06K9/62
CPC分类号： G06K9/4671 , G06K9/4642 , G06K9/527
摘要： Systems and methods for object detection that consider background information are presented. Embodiments of the present invention utilizing a feature called Local Difference Pattern (LDP), which is more discriminative for modeling local background image features. In embodiments, the LDP feature is used to train detection models. In embodiments, the LDP feature may be used in detection to differentiate different image background conditions and adaptively adjust classification to yield higher detection rates.
摘要翻译：介绍了考虑背景信息的物体检测系统和方法。利用称为局部差异模式（LDP）的特征的本发明的实施例，其更为区分对本地背景图像特征的建模。在实施例中，LDP特征用于训练检测模型。在实施例中，LDP特征可以用于检测以区分不同的图像背景条件并且自适应地调整分类以产生更高的检测率。

8. 发明授权

US08406848B2 Reconstructing three-dimensional current sources from magnetic sensor data 有权
标题翻译：从磁传感器数据重建三维电流源
公开(公告)号：US08406848B2
公开(公告)日：2013-03-26
申请号：US12574581
申请日：2009-10-06
申请人： Chenyu Wu , Jing Xiao
发明人： Chenyu Wu , Jing Xiao
IPC分类号： A61B5/0484
CPC分类号： A61B5/05 , A61B5/04007 , A61B5/04008 , A61B5/04011 , G06T11/206
摘要： Magnetic source imaging (MSI) involves the reconstruction of the current sources in a portion of a body, such as an organ, from measured magnetic field data. The measured magnetic field data may be from one-dimensional or three-dimensional sensors. Aspects of the present invention include systems and methods for reconstructing the electrical current of an organ given magnetic data. In embodiments, reconstruction of three-dimensional current sources is accomplished knowing or estimating the position, or offset, of the sensor plane with respect to the patient in order to form a set of linear equations. Alternatively, reconstruction of three-dimensional current sources is accomplished without knowing the offset of the sensor plane with respect to the patient. In embodiments, the linear and nonlinear systems of equations are iteratively used to obtain the current source information. In embodiments, multi-scale strategies are employed.
摘要翻译：磁源成像（MSI）涉及从测量的磁场数据重建身体（例如器官）的一部分中的电流源。测量的磁场数据可以来自一维或三维传感器。本发明的方面包括用于重建给定磁数据的器官的电流的系统和方法。在实施例中，知道或估计传感器平面相对于患者的位置或偏移来完成三维电流源的重建，以便形成一组线性方程式。或者，在不知道传感器平面相对于患者的偏移的情况下，完成三维电流源的重建。在实施例中，迭代地使用线性和非线性方程组来获得当前源信息。在实施例中，采用多尺度策略。

9. 发明授权

US08328360B2 Retro-reflective light diffusing autostereoscopic 3D display systems 有权
标题翻译：反光光扩散自动立体3D显示系统
公开(公告)号：US08328360B2
公开(公告)日：2012-12-11
申请号：US12418137
申请日：2009-04-03
申请人： Chunyu Gao , Jing Xiao
发明人： Chunyu Gao , Jing Xiao
IPC分类号： G03B21/00 , G03B21/26 , G06T15/00
CPC分类号： G03B21/60 , G02B27/225
摘要： Aspects of the present invention involve novel display screens comprising light diffusion and retro-reflectivity. In embodiments, a retro-reflective light diffusion screen can be used to generate a three-dimensional autostereoscopic display by generating a plurality of viewing windows wherein each viewing window depicts a unique perspective image view.
摘要翻译：本发明的方面涉及包括光扩散和反射反射性的新型显示屏。在实施例中，可以使用回射光扩散屏幕来产生三维自动立体显示器，通过产生多个观看窗口，其中每个观看窗口描绘了独特的透视图像视图。

10. 发明申请

US20120237116A1 Identifying Text Pixels in Scanned Images 失效
标题翻译：识别扫描图像中的文本像素
公开(公告)号：US20120237116A1
公开(公告)日：2012-09-20
申请号：US13051223
申请日：2011-03-18
申请人： Jing Xiao
发明人： Jing Xiao
IPC分类号： G06K9/62
CPC分类号： G06K9/6257 , G06K2209/01
摘要： A processor and method make use of multiple weak classifiers to construct a single strong classifier to identify regions that contain text within an input image document. The weak classifiers are grouped by their computing cost from low to median to high, and each weak classifier is assigned a weight value based on its ability to accurately identify text regions. A level 1 classifier is constructed by selecting weak classifiers from the low group, a level 2 classifier is constructed by selecting weak classifiers from the low and median groups, and a level 3 classifier is constructed by selecting weak classifiers from the low, median and high groups. Regions that the level 1 classifier identifies as containing text are submitted to the level 2 classifier, and regions that the level 2 classifier identifies as containing text are submitted to the level 3 classifier.
摘要翻译：处理器和方法利用多个弱分类器来构造单个强分类器来识别包含输入图像文档内的文本的区域。弱分类器的计算成本从低到中等到高，每个弱分类器都基于其准确识别文本区域的能力来分配权重值。通过从低组中选择弱分类器构建1级分类器，通过从低和中值组中选择弱分类器构建2级分类器，通过从低，中，高选择弱分类器构建3级分类器团体 1级分类器识别为包含文本的区域被提交给2级分类器，2级分类器识别为包含文本的区域被提交到3级分类器。

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