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    • 7. 发明授权
    • System and method for range and velocity estimation in video data as a function of anthropometric measures
    • 视频数据中范围和速度估计的系统和方法作为人体测量的一个功能
    • US08520895B2
    • 2013-08-27
    • US12980898
    • 2010-12-29
    • Kwong Wing AuSaad J. Bedros
    • Kwong Wing AuSaad J. Bedros
    • G06K9/00
    • G01P3/38F41G3/06G01S11/12G06T7/269G06T7/50G06T2207/10016G06T2207/30196G06T2207/30212
    • A system and method calculate a range and velocity of an object in image data. The range calculation includes detecting a contour of the object from the image data, forming a template from the image data based on the contour; and calculating a range to the object using pixel resolution and dimension statistics of the object. A three-dimensional velocity of the object is determined by calculating a radial component and an angular component of the velocity. The radial velocity component is calculated by determining the range of the object in two or more image frames, determining a time differential between the two or more image frames, and calculating the radial velocity as a function of the range of the object in the two or more image frames and the time differential between the two or more image frames. The angular component is calculated using spatial-temporal derivatives as a function of a motion constraint equation.
    • 系统和方法计算图像数据中对象的范围和速度。 范围计算包括从图像数据检测对象的轮廓,基于轮廓从图像数据形成模板; 并使用对象的像素分辨率和维度统计来计算对象的范围。 通过计算速度的径向分量和角分量来确定对象的三维速度。 通过确定两个或多个图像帧中的对象的范围,确定两个或更多个图像帧之间的时间差,并且计算作为两个或更多个图像帧中的对象的范围的函数的径向速度来计算径向速度分量 更多的图像帧和两个或更多个图像帧之间的时间差。 使用空间 - 时间导数作为运动约束方程的函数来计算角分量。
    • 8. 发明授权
    • Three-dimensional multilayer skin texture recognition system and method
    • 三维多层皮肤纹理识别系统及方法
    • US08634596B2
    • 2014-01-21
    • US12972829
    • 2010-12-20
    • Saad J. BedrosKwong Wing Au
    • Saad J. BedrosKwong Wing Au
    • G06K9/00G06K9/46G06K9/66G06K9/52
    • G06K9/00201G06K9/00268G06K2009/4657
    • A three-dimensional multilayer skin texture recognition system and method based on hyperspectral imaging. Three-dimensional facial model associated with an object may be acquired from a three-dimensional image capturing device. A face reconstruction approach may be implemented to reconstruct and rewarp the three-dimensional facial model to a frontal face image. A hyperspectral imager may be employed to extract a micro structure skin signature associated with the skin surface. The micro structure skin signature may be characterized utilizing a weighted subtraction of reflectance at different wavelengths that captures different layers under the skin surface via a multilayer skin texture recognition module. The volumetric skin data associated with the face skin can be classified via a volumetric pattern.
    • 基于高光谱成像的三维多层皮肤纹理识别系统及方法。 可以从三维图像捕获装置获取与对象相关联的三维面部模型。 可以实现面部重建方法以将三维面部模型重新构建并重新平面到正面面部图像。 可以使用高光谱成像器来提取与皮肤表面相关联的微结构皮肤特征。 可以通过经由多层皮肤纹理识别模块在皮肤表面捕获不同层的不同波长的反射率的加权减法来表征微结构皮肤特征。 与脸部皮肤相关的体积皮肤数据可以通过体积图案进行分类。