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    • 2. 发明授权
    • Managed object replication and delivery
    • 托管对象复制和传递
    • US09167036B2
    • 2015-10-20
    • US10073938
    • 2002-02-14
    • Steven L. SeedKevin HobbsShane M. GlynnIsaac W. ForakerPeter J. JonesHomer H. ChenWilliam Patrick Greer
    • Steven L. SeedKevin HobbsShane M. GlynnIsaac W. ForakerPeter J. JonesHomer H. ChenWilliam Patrick Greer
    • H04L29/08
    • H04L67/1095H04L67/1002H04L67/2814H04L67/2842H04L67/2852H04L67/2885
    • A method, system and computer program product for managed object replication and delivery redirects, directly or indirectly, a client's request for an object that is not available at a best or optimal handling edge server of a network to a parent server that has the requested object. So, where the requested object is not available at the handling edge server, the client's request is redirected directly to the parent server that can provide the requested object to the client or indirectly via one or more parent servers to a parent server that can provide the requested object to the client. The method, system and computer program product further intelligently replicates the object to the edge server if the object is popular enough. Likewise, an object is removed from an edge server when it is no longer popular. All redirection and replication operations are preferably transparent to the end-user and do not degrade the quality of service.
    • 用于托管对象复制和传递的方法,系统和计算机程序产品直接或间接重定向客户端对网络的最佳或最优处理边缘服务器不可用的对象的请求,该对象具有请求对象的父服务器 。 因此,在请求的对象在处理边缘服务器处不可用的情况下,客户端的请求被直接重定向到可以向客户端提供所请求的对象的父服务器,或者通过一个或多个父服务器间接地传递到父服务器,父服务器可以提供 请求客户的对象。 如果对象流行得足够,方法,系统和计算机程序产品将智能地将对象复制到边缘服务器。 同样,当边缘服务器不再受欢迎时,对象将从边缘服务器中删除。 所有重定向和复制操作对于最终用户来说最好是透明的,并且不会降低服务质量。
    • 4. 发明授权
    • 3D positioning apparatus and method
    • 3D定位装置及方法
    • US08866888B2
    • 2014-10-21
    • US12649029
    • 2009-12-29
    • Homer H. ChenPing-Cheng Chi
    • Homer H. ChenPing-Cheng Chi
    • H04N13/02G06T7/00
    • G06T7/0018G06T7/80
    • A 3D positioning apparatus is used for an object that includes feature points and a reference point. The object undergoes movement from a first to a second position. The 3D positioning apparatus includes: an image sensor for capturing images of the object; and a processor for calculating, based on the captured images, initial coordinates of each feature point when the object is in the first position, initial coordinates of the reference point, final coordinates of the reference point when the object is in the second position, and final coordinates of each feature point. The processor calculates 3D translational information of the feature points using the initial and final coordinates of the reference point, and 3D rotational information of the feature points using the initial and final coordinates of each feature point. A 3D positioning method is also disclosed.
    • 3D定位装置用于包括特征点和参考点的对象。 物体从第一位置移动到第二位置。 3D定位装置包括:用于拍摄对象的图像的图像传感器; 以及处理器,用于基于所捕获的图像计算当所述对象处于所述第一位置时所述每个特征点的初始坐标,所述参考点的初始坐标,所述对象处于所述第二位置时所述参考点的最终坐标;以及 每个特征点的最终坐标。 处理器使用参考点的初始和最终坐标以及使用每个特征点的初始和最终坐标的特征点的3D旋转信息来计算特征点的3D平移信息。 还公开了3D定位方法。
    • 6. 发明授权
    • Autofocus method
    • 自动对焦方式
    • US08254774B2
    • 2012-08-28
    • US12780490
    • 2010-05-14
    • Dong-Chen TsaiHomer H. Chen
    • Dong-Chen TsaiHomer H. Chen
    • G03B3/00G03B13/00
    • G03B13/00
    • An autofocus method for obtaining clear images characterized by: adjusting the lens position with an initial dataset of focus values to obtain a estimated lens position; moving the lens to the estimated lens position and acquiring the corresponding focus value; determining whether the estimated lens position is sufficiently proximate to the prior estimated lens position, wherein, if it is, the autofocus process stops, and, if not, repeating the above-described steps until a lens position having an optimal focus value is obtained, thereby obtaining the clearest image with increased focusing speed and reduced time of lens movement and without the need of empirical parameters.
    • 一种用于获得清晰图像的自动对焦方法,其特征在于:利用聚焦值的初始数据集来调整透镜位置以获得估计的透镜位置; 将透镜移动到估计的透镜位置并获取相应的聚焦值; 确定估计的透镜位置是否足够靠近先前估计的透镜位置,其中如果是,则自动聚焦处理停止,如果不是,则重复上述步骤,直到获得具有最佳聚焦值的透镜位置, 从而以更高的聚焦速度获得最清晰的图像,减少镜头运动的时间,而不需要经验参数。
    • 10. 发明授权
    • Data compression for animated three dimensional objects
    • 动画三维物体的数据压缩
    • US5818463A
    • 1998-10-06
    • US799818
    • 1997-02-13
    • Hai TaoThomas S. HuangHomer H. ChenTsae-Pyng Janice Shen
    • Hai TaoThomas S. HuangHomer H. ChenTsae-Pyng Janice Shen
    • H04N7/32G06T9/00G06T13/00H03M7/30H04N7/26H04N7/50
    • G06T9/001G06T13/00H04N19/27H04N19/30H04N19/61H04N19/619A63F2300/6607
    • Data which represents an animation sequence of a three dimensional object at a series of discrete time frames is compressed by identifying characteristic features of the object; generating a quadrangular mesh representation of the object, whereby the object is mathematically defined by dividing it into one or more regions and hierarchically representing each region by a mesh, each mesh including three coordinate matrices which define the positions of nodes within the mesh; selecting from the mesh representation of the features a set of animation parameters which are capable of specifying changes in the mesh corresponding to the animation of the object; compressing each region mesh by applying pyramid progressive coding to the coordinate matrices for the mesh; storing the initial values for the animation parameters at the beginning of the animation sequence; and, at each time frame after the beginning of the animation sequence, estimating the current values of the parameters and compressing each parameter by estimating the change in the value of the parameter by subtracting its stored value for the previous time frame from its current value, quantizing the estimated difference, applying entropy coding to the quantized difference and updating the stored value with the decoded value.
    • 通过识别对象的特征特征来压缩表示一系列离散时间帧上的三维物体的动画序列的数据; 生成对象的四边形网格表示,由此通过将对象数学地划分成一个或多个区域并且通过网格分层地表示每个区域来对对象进行数学定义,每个网格包括三个坐标矩阵,其定义网格内的节点的位置; 从特征的网格表示中选择能够指定对应于对象的动画的网格中的变化的一组动画参数; 通过对网格的坐标矩阵应用金字塔逐行编码来压缩每个区域网格; 在动画序列的开始处存储动画参数的初始值; 并且在动画序列开始之后的每个时间帧,通过从其当前值减去其前一时间帧的存储值来估计参数值的变化来估计参数的当前值并压缩每个参数, 量化估计的差值,将熵编码应用于量化差值,并用解码的值更新存储的值。