专利快速检索-快速检索全球专利，免费商用专利数据库-IPRDB

21. 发明申请

US20160055635A1 METHOD AND SYSTEM FOR VIDEO DATA PROCESSING 审中-公开
标题翻译：用于视频数据处理的方法和系统
公开(公告)号：US20160055635A1
公开(公告)日：2016-02-25
申请号：US14465759
申请日：2014-08-21
申请人： SONY CORPORATION
发明人： LIANGYIN YU , MING-CHANG LIU
IPC分类号： G06T7/00
CPC分类号： G06T7/0016 , G06T7/20 , G06T2207/10016 , G06T2207/20076 , G06T2207/20116 , G06T2207/30076 , G06T2207/30232
摘要： Various aspects of a method and a system for video data processing are disclosed herein. The method includes receiving video data of a human subject. Each of a sequence of frames of the received video data is associated with a plurality of spectral components. A first peak and a second peak from a plurality of peaks corresponding to the plurality of spectral components are determined. Amplitudes of the determined first peak and the second peak exceed a first threshold value. A peak separation between the determined first peak and the determined second peak is determined. The determined peak separation is within a predetermined range. Based on the determined peak separation, a heart rate of the human subject is determined.
摘要翻译：本文公开了用于视频数据处理的方法和系统的各个方面。该方法包括接收人类对象的视频数据。所接收的视频数据的帧序列中的每一个与多个频谱分量相关联。确定与多个频谱分量对应的多个峰值的第一峰值和第二峰值。所确定的第一峰值和第二峰值的幅度超过第一阈值。确定所确定的第一峰和确定的第二峰之间的峰间距。确定的峰值分离在预定范围内。基于确定的峰值分离，确定人类受试者的心率。

22. 发明授权

US09268995B2 Smile detection techniques 有权
标题翻译：微笑检测技术
公开(公告)号：US09268995B2
公开(公告)日：2016-02-23
申请号：US13991909
申请日：2011-04-11
申请人： Jianguo Li
发明人： Jianguo Li
IPC分类号： G06K9/00 , G06K9/62
CPC分类号： G06K9/00308 , G06K9/00221 , G06K9/00248 , G06K9/00281 , G06K9/00302 , G06K9/00315 , G06K9/6217 , G06T2207/20116 , G06T2207/30201
摘要： Techniques are disclosed that involve the detection of smiles from images. Such techniques may employ local-binary pattern (LBP) features and/or multi-layer perceptrons (MLP) based classifiers. Such techniques can be extensively used on various devices, including (but not limited to) camera phones, digital cameras, gaming devices, personal computing platforms, and other embedded camera devices.
摘要翻译：公开了涉及从图像中检测微笑的技术。这样的技术可以采用局部二进制模式（LBP）特征和/或基于多层感知器（MLP）的分类器。这些技术可以广泛地用于各种设备，包括（但不限于）相机电话，数码相机，游戏设备，个人计算平台和其他嵌入式相机设备。

23. 发明授权

US09262827B2 Lung, lobe, and fissure imaging systems and methods 有权
标题翻译：肺，叶和裂缝成像系统和方法
公开(公告)号：US09262827B2
公开(公告)日：2016-02-16
申请号：US14643935
申请日：2015-03-10
申请人： THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
发明人： Matthew S. Brown , Pechin Lo , Eva Marjolein Van Rikxoort , Jonathan Gerald Goldin
IPC分类号： G06K9/00 , G06T7/00 , G06T7/60 , G06T15/08 , A61B6/03
CPC分类号： G06T7/0012 , A61B6/032 , G06T7/11 , G06T7/12 , G06T7/136 , G06T7/187 , G06T15/08 , G06T2200/04 , G06T2207/10081 , G06T2207/20044 , G06T2207/20076 , G06T2207/20101 , G06T2207/20116 , G06T2207/20156 , G06T2207/30061
摘要： An automated or semi-automated system and methods are disclosed that provide a rapid and repeatable method for identifying lung, lobe, and fissure voxels in CT images, and allowing for quantitative lung assessment and fissure integrity analysis. An automated or semi-automated segmentation and editing system and methods are also disclosed for lung segmentation and identification of lung fissures.
摘要翻译：公开了一种自动化或半自动化系统和方法，其提供用于在CT图像中识别肺，叶和裂缝体素的快速且可重复的方法，并且允许定量肺评估和裂缝完整性分析。还公开了一种自动化或半自动化的分割和编辑系统和方法，用于肺分裂和识别肺裂。

24. 发明授权

US09235887B2 Classification of biological tissue by multi-mode data registration, segmentation and characterization 有权
标题翻译：通过多模式数据注册，分割和表征分类生物组织
公开(公告)号：US09235887B2
公开(公告)日：2016-01-12
申请号：US13732674
申请日：2013-01-02
申请人： vascuVis Inc. , Rutgers, The state University of New Jersey , Trustees of Boston University , The Trustees Of The University of Pennsylvania
发明人： Andrew Buckler , Anant Madabhushi , James Hamilton , Shannon Agner , Mark Rosen
IPC分类号： G06K9/00 , G06T7/00
CPC分类号： G06T7/0012 , G06T7/12 , G06T7/143 , G06T7/149 , G06T2207/10096 , G06T2207/20116 , G06T2207/30068
摘要： A method and apparatus for classifying possibly vulnerable plaques from sets of DCE-MRI images includes receiving a set of MRI slice images obtained at respectively different times, where each slice image includes voxels representative of at least one region of interest (ROI). The images are processed to determine the boundaries of the ROIs and the voxels within the identified boundaries in corresponding regions of the images from each time period are processed to extract kinetic texture features. The kinetic texture features are then used in a classification process which classifies the ROIs as vulnerable or stable.
摘要翻译：从DCE-MRI图像集合分类可能易受伤害的斑块的方法和装置包括接收在不同时间获得的一组MRI切片图像，其中每个切片图像包括代表至少一个感兴趣区域（ROI）的体素。处理图像以确定ROI的边界，并且处理来自每个时间段的图像的相应区域中所识别的边界内的体素以提取动力学纹理特征。然后将动力学纹理特征用于将ROI分类为易受攻击或稳定的分类过程。

25. 发明申请

US20150331643A1 IMAGE PROCESSING METHOD AND IMAGE PROCESSING APPARATUS 有权
标题翻译：图像处理方法和图像处理装置
公开(公告)号：US20150331643A1
公开(公告)日：2015-11-19
申请号：US14710854
申请日：2015-05-13
申请人： CANON KABUSHIKI KAISHA
发明人： Naoyuki Nishikawa
IPC分类号： G06F3/12 , G06T1/20 , G06T7/00
CPC分类号： G06F3/12 , G06F3/1215 , G06F3/124 , G06F3/1248 , G06F3/1298 , G06T1/20 , G06T7/12 , G06T7/13 , G06T2207/20116 , H04N2201/0094
摘要： A page containing a large number of graphics and therefore having a high process load can be processed in parallel and quickly by dividing an edge extraction process into a plurality of threads. In this case, if the number of cores is eight, the edge extraction process is performed by allocating four cores to one of regions obtained by dividing a page and the remaining four cores to the other region.
摘要翻译：通过将边缘提取处理划分为多个线程，可以并行地并行地处理包含大量图形并因此具有高处理负载的页面。在这种情况下，如果核数为8，则通过将四个核分配到通过将页划分并且剩余的四个核与另一个区域获得的区域之一来分配四个核来执行边缘提取处理。

26. 发明申请

US20150317790A1 SYSTEMS AND METHODS FOR SEMI-AUTOMATED SEGMENTATION OF MEDICAL IMAGES 有权
标题翻译：医学图像半自动分割的系统与方法
公开(公告)号：US20150317790A1
公开(公告)日：2015-11-05
申请号：US14269598
申请日：2014-05-05
申请人： Kwang Won Choi , Chihwa Song , Richard Kijowski , Darryl Gerard Thelen
发明人： Kwang Won Choi , Chihwa Song , Richard Kijowski , Darryl Gerard Thelen
IPC分类号： G06T7/00 , G06K9/46 , G06K9/52 , G06K9/48
CPC分类号： G06T7/0012 , G06K9/468 , G06K9/48 , G06K9/52 , G06K2009/4666 , G06T7/12 , G06T2207/10088 , G06T2207/20116 , G06T2207/30008
摘要： Systems and methods for segmenting a medical image are provided. In some embodiments, the method includes receiving an image acquired from at least a portion of a subject's anatomy, selecting a first point within a target structure identified on the image, and determining a second and a third point associated with extents of a target biological tissue, the first, second and third points defining a sector described by the first point, a central angle and a subtended arc. The method also includes determining a plurality of arc points along the subtended arc, and extending a plurality of linear segments along directions determined by the first point and the plurality of arc points. The method further includes determining an intensity profile along each linear segment to identify boundaries of the target biological tissue, and generating a contour of the target biological tissue using the identified boundaries.
摘要翻译：提供了用于分割医学图像的系统和方法。在一些实施例中，该方法包括接收从对象的解剖结构的至少一部分获取的图像，选择在图像上标识的目标结构内的第一点，以及确定与目标生物组织的范围相关联的第二和第三点，第一，第二和第三点定义由第一点，中心角和对准的弧描述的扇区。该方法还包括确定沿着对准弧线的多个圆弧点，并且沿着由第一点和多个圆弧点确定的方向延伸多个线性分段。该方法还包括确定沿着每个线性段的强度分布以识别目标生物组织的边界，以及使用所识别的边界产生目标生物组织的轮廓。

27. 发明申请

US20150302601A1 SEGMENTATION OF MAGNETIC RESONANCE IMAGING DATA 有权
标题翻译：磁共振成像数据分段
公开(公告)号：US20150302601A1
公开(公告)日：2015-10-22
申请号：US14399796
申请日：2013-05-09
申请人： LABORATOIRES BODYCAD INC.
发明人： Geoffroy RIVET-SABOURIN
IPC分类号： G06T7/00 , G06T17/20 , G06T19/20
CPC分类号： G06T7/77 , G01R33/5608 , G06T7/12 , G06T7/136 , G06T7/149 , G06T7/155 , G06T17/20 , G06T19/20 , G06T2207/10028 , G06T2207/10088 , G06T2207/20116 , G06T2207/30008
摘要： There is described herein an image segmentation technique using an iterative process. A contour, which begins with a single point that expands into a hollow shape, is iteratively deformed into a defined structure. As the contour is deformed, various constraints are applied to points along the contour to dictate its rate of change and direction of change are modified dynamically. The constraints may be modified after one or more iterations, at each point along the contour, in accordance with newly measured or determined data.
摘要翻译：这里描述了使用迭代过程的图像分割技术。从扩展成中空形状的单个点开始的轮廓被迭代地变形为限定的结构。当轮廓变形时，沿着轮廓的点应用各种约束来规定其变化速率和变化方向被动态地修改。可以根据新测量或确定的数据在沿轮廓的每个点进行一次或多次迭代之后修改约束。

28. 发明授权

US09147258B2 Methods and systems for segmentation in echocardiography 有权
标题翻译：超声心动图分割方法与系统
公开(公告)号：US09147258B2
公开(公告)日：2015-09-29
申请号：US13777981
申请日：2013-02-26
申请人： General Electric Company
发明人： Sheshadri Thiruvenkadam , Navneeth Subamanian , Mithun Das Gupta
IPC分类号： G06K9/00 , G06T7/00
CPC分类号： G06T7/0097 , G06T7/0012 , G06T7/12 , G06T7/149 , G06T7/174 , G06T2207/10016 , G06T2207/10132 , G06T2207/20116 , G06T2207/30048
摘要： Methods and systems for segmentation in echocardiography are provided. One method includes obtaining echocardiographic images and defining a search space within the echocardiographic images using a pair of one-dimensional (1D) profiles. The method also includes using an energy based function constrained by non-local temporal priors within the defined search space to automatically segment a contour of a cardiac structure with the 1D profiles.
摘要翻译：提供超声心动图分割的方法和系统。一种方法包括获得超声心动图像并使用一对一维（1D）轮廓在超声心动图中定义搜索空间。该方法还包括使用由限定的搜索空间内的非局部时间先验约束的基于能量的功能，以利用1D轮廓自动分割心脏结构的轮廓。

29. 发明授权

US09076223B1 Fast stopping criterion for active contour algorithms 有权
标题翻译：主动轮廓算法的快速停止标准
公开(公告)号：US09076223B1
公开(公告)日：2015-07-07
申请号：US13777695
申请日：2013-02-26
申请人： THE MATHWORKS, INC.
发明人： Spandan Tiwari , Steven L. Eddins
IPC分类号： G06T7/00
CPC分类号： G06T7/0089 , G06T7/12 , G06T7/149 , G06T2207/20116
摘要： A device is configured to determine a contour vector that delineates an object in an image from a remaining portion of the image, and to generate a hash value by applying a hash function to the contour vector. The device is configured to compare the hash value to a previous hash value generated by applying the hash function to a previous contour vector, where the previous contour vector is determined prior to determining the contour vector. The device is configured to determine that the hash value matches the previous hash value and, based on determining that the hash value matches the previous hash value, segment the image using the contour vector.
摘要翻译：设备被配置为确定从图像的剩余部分描绘图像中的对象的轮廓矢量，并且通过对轮廓矢量应用散列函数来生成哈希值。该设备被配置为将散列值与通过将散列函数应用于先前轮廓矢量而生成的先前散列值进行比较，其中先前的轮廓矢量在确定轮廓矢量之前被确定。该设备被配置为确定散列值与先前的散列值相匹配，并且基于确定散列值与先前的散列值相匹配，使用轮廓向量来分割图像。

30. 发明授权

US08983203B2 Face-tracking method with high accuracy 有权
标题翻译：高精度的脸部跟踪方法
公开(公告)号：US08983203B2
公开(公告)日：2015-03-17
申请号：US13649170
申请日：2012-10-11
申请人： ULSee Inc.
发明人： Zhou Ye , Ying-Ko Lu , Sheng-Wen Jeng
IPC分类号： G06K9/48 , G06K9/00 , G06K9/46 , G06K9/62 , G06T7/00 , G06T7/20
CPC分类号： G06K9/6209 , G06K9/00248 , G06T7/12 , G06T7/248 , G06T2207/20116 , G06T2207/30201
摘要： A face-tracking method with high accuracy is provided. The face-tracking method includes generating an initial face shape according to the detected face region of an input image and a learned data base, wherein the initial face shape comprises an initial inner shape and an initial outer shape; generating a refined inner shape by refining the initial inner shape according to the input image and the learned data base; and generating a refined outer shape by searching an edge of the refined outer shape from the initial outer shape toward the limit of outer shape.
摘要翻译：提供了一种高精度的面部跟踪方法。面部追踪方法包括根据检测到的输入图像的面部区域和学习数据库生成初始面部形状，其中初始面部形状包括初始内部形状和初始外部形状; 通过根据输入图像和学习数据库精炼初始内部形状来产生精细的内部形状; 并且通过从初始外形向外形极限搜索精细外形的边缘来产生精细的外形。

你已经成功收藏专利！

检索式保存成功!

IPRDB

热门服务

关于我们

友情链接

联系方式