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    • 1. 发明申请
    • COMPONENT FUSION FOR FACE DETECTION
    • 用于面部检测的组件熔断器
    • WO2004102467A3
    • 2008-01-03
    • PCT/EP2004050796
    • 2004-05-13
    • SIEMENS CORP RES INCCOMANICIU DORINRAMESH VISVANATHANSIMON MARKUSXIE BINGLONG
    • COMANICIU DORINRAMESH VISVANATHANSIMON MARKUSXIE BINGLONG
    • G06K9/00
    • G06K9/00281
    • A system (100) and method for object detection are provided where the system includes a component detection unit (170) for detecting components in an image, a component fusion unit (180) in signal communication with the component detection unit for fusing the components into an object, and a CPU (102) in signal communication with the detection and fusion units for comparing the fused components with a statistical model; and the method includes receiving observation data for a plurality of training images, forming at least one statistical model from the plurality of training images, receiving an input image having a plurality of pixels, detecting a plurality of components in the input image, determining a fusion of the detected components, comparing the fusion with the statistical model, and detecting an object in accordance with the comparison.
    • 提供了一种用于物体检测的系统(100)和方法,其中系统包括用于检测图像中的分量的分量检测单元(170),与分量检测单元进行信号通信的分量融合单元(180) 与所述检测和融合单元进行信号通信的CPU(102),用于将所述融合分量与统计模型进行比较; 并且该方法包括接收多个训练图像的观测数据,从多个训练图像中形成至少一个统计模型,接收具有多个像素的输入图像,检测输入图像中的多个分量,确定融合 的检测组件,将融合与统计模型进行比较,并根据比较来检测对象。
    • 6. 发明申请
    • SYSTEM AND METHOD FOR LOCAL DEFORMABLE MOTION ANALYSIS
    • 用于局部可变形运动分析的系统和方法
    • WO2005034039A3
    • 2005-07-21
    • PCT/US2004032724
    • 2004-10-04
    • SIEMENS CORP RES INCGEORGESCU BOGDANZHOU XIANG SEANCOMANICIU DORINKRISHNAN SRIRAM
    • GEORGESCU BOGDANZHOU XIANG SEANCOMANICIU DORINKRISHNAN SRIRAM
    • G06K9/00G06T7/20
    • G06T7/20G06T7/0016G06T7/251G06T2207/10132G06T2207/30048
    • [0061] A system and method for local deformable motion analysis and for accurately tracking motion of an object isolating local motion of an object from global motion of an object is disclosed. The object is viewed in an image sequence and image regions are sampled to identify object image regions and background image regions. The motion of at least one of the identified background image regions is estimated to identify those background image regions affected by global motion. Motion from multiple background image regions are combined to measure the global motion in that image frame. The measured global motion in the object image regions are compensated to measure local motion of the object and the local motion of the object is tracked. A system and method for accurately measuring the local deformable motion of an object as the relative motion between two control point sets is disclosed. The point sets are defined as the inner contour and the outer contour of an object. The motion of the control point sets is estimated and the relative motion is used to characterize the local deformation and local motion of the object
    • 公开了一种用于局部可变形运动分析和准确跟踪物体的运动的系统和方法,该物体隔离物体的局部运动与物体的全局运动。 该对象在图像序列中被查看并且图像区域被采样以识别对象图像区域和背景图像区域。 估计所识别的背景图像区域中的至少一个的运动以识别受全局运动影响的那些背景图像区域。 来自多个背景图像区域的运动被组合以测量该图像帧中的全局运动。 对物体图像区域中的测量的全局运动进行补偿以测量物体的局部运动,并跟踪物体的局部运动。 公开了一种用于精确测量物体的局部可变形运动的系统和方法,作为两个控制点集之间的相对运动。 点集被定义为对象的内部轮廓和外部轮廓。 估计控制点集的运动,并使用相对运动来表征物体的局部变形和局部运动
    • 9. 发明申请
    • SYSTEMS AND METHODS FOR AUTOMATED DIAGNOSIS AND DECISION SUPPORT FOR HEART RELATED DISEASES AND CONDITIONS
    • 自动诊断和心理支持的系统与方法相关疾病和病症
    • WO2005081168A3
    • 2005-12-01
    • PCT/US2004040757
    • 2004-12-06
    • SIEMENS MEDICAL SOLUTIONSSIEMENS CORP RES INCKRISHNAN SRIRAMGUPTA ALOKRAO R BHARATCOMANICIU DORINZHOU XIANG SEAN
    • KRISHNAN SRIRAMGUPTA ALOKRAO R BHARATCOMANICIU DORINZHOU XIANG SEAN
    • A61B5/05G06F17/00G06F19/00
    • G16H50/20
    • CAD (computer-aided diagnosis) systems and applications for cardiac imaging are provided, which implement methods to automatically extract and analyze features from a collection of patient information (including image data and/or non-image data) of a subject patient, to provide decision support for various aspects of physician workflow including, for example, automated assessment of regional myocardial function through wall motion analysis, automated diagnosis of heart diseases and conditions such as cardiomyopathy, coronary artery disease and other heart-related medical conditions, and other automated decision support functions. The CAD systems implement machine-learning techniques that use a set of training data obtained (learned) from a database of labeled patient cases in one or more relevant clinical domains and/or expert interpretations of such data to enable the CAD systems to "learn" to analyze patient data and make proper diagnostic assessments and decisions for assisting physician workflow.
    • 提供了用于心脏成像的CAD(计算机辅助诊断)系统和应用,其实现了从受试患者的患者信息(包括图像数据和/或非图像数据)的集合中自动提取和分析特征的方法,以提供 对医师工作流程的各个方面的决策支持,包括例如通过壁运动分析自动评估区域心肌功能,心脏疾病的自动诊断和诸如心肌病,冠状动脉疾病和其他与心脏相关的医疗状况等条件,以及其他自动化决策 支持功能。 CAD系统实施机器学习技术,其使用从一个或多个相关临床领域的标记的患者病例的数据库获得(学习)的一组训练数据和/或对这些数据的专家解释,使得CAD系统能够“学习” 分析患者数据,进行适当的诊断评估和决策,以协助医师的工作流程。