METHODS AND SYSTEMS FOR BIOMETRIC IDENTIFICATION
    1.
    发明申请
    METHODS AND SYSTEMS FOR BIOMETRIC IDENTIFICATION 审中-公开
    用于生物识别的方法和系统

    公开(公告)号:WO2007025258A3

    公开(公告)日:2008-11-20

    申请号:PCT/US2006033580

    申请日:2006-08-25

    CPC classification number: G06K9/00617 G06K9/6255

    Abstract: A method for identifying an iris image can include obtaining an iris image (24) of an eye, segmenting the iris image, generating, from the segmented iris image, a normalized iris image, and generating, from the normalized iris image, an iris template (28). The method can also include generating a modified iris template by extracting a portion of the iris template, comparing the modified iris template with a plurality of previously stored other modified iris templates and matching the modified iris template with one of the plurality of previously stored other modified iris templates The method can also include generating a modified iris template by extracting a portion of the iris template, comparing the modified iris template with a plurality of previously stored other modified iris templates, and matching the modified ins template with one of the plurality of previously stored other modified iris templates (30).

    Abstract translation: 用于识别虹膜图像的方法可以包括获得眼睛的虹膜图像(24),分割虹膜图像,从分割的虹膜图像生成归一化的虹膜图像,以及从归一化的虹膜图像生成虹膜模板 (28)。 该方法还可以包括通过提取虹膜模板的一部分来生成修改的虹膜模板,将修改的虹膜模板与多个先前存储的其他修改的虹膜模板进行比较,并将修改的虹膜模板与多个先前存储的其他修改的虹膜模板中的一个进行匹配 虹膜模板该方法还可以包括通过提取虹膜模板的一部分来生成修改的虹膜模板,将修改的虹膜模板与多个先前存储的其他修改的虹膜模板进行比较,以及将修改的模板与之前的多个之一匹配 存储其他修改的虹膜模板(30)。

    METHOD AND APPARATUS FOR DETERMINING CAMERA POSE FROM POINT CORRESPONDENCES
    2.
    发明申请
    METHOD AND APPARATUS FOR DETERMINING CAMERA POSE FROM POINT CORRESPONDENCES 审中-公开
    从点相关决定摄像机的方法和装置

    公开(公告)号:WO2004081868A3

    公开(公告)日:2008-10-16

    申请号:PCT/US2004007420

    申请日:2004-03-11

    Inventor: NISTER DAVID

    CPC classification number: G06K9/209 G06K9/32 G06T7/70 G06T2207/30244

    Abstract: A method and apparatus for determining camera pose from point correspondences. Specifically, an efficient solution to the classical five-point relative pose problem is presented. The problem is to find the possible solutions for relative camera motion between two calibrated views given five corresponding points. The method consists of computing the coefficients of a tenth degree polynomial and subsequently finding its roots. The method is well suited for numerical implementation that also corresponds to the inherent complexity of the problem. The method is used in a robust hypothesize-and-test framework to estimate structure and motion in real-time.

    Abstract translation: 一种用于从点对应确定相机姿态的方法和装置。 具体来说,提出了经典五点相对姿势问题的有效解决方案。 问题是找到两个校准视图之间相对相机运动的可能解决方案,给出五个对应点。 该方法包括计算十次多项式的系数,并随后找到其根。 该方法非常适合数值实现,这也符合问题的固有复杂性。 该方法用于强大的假设和测试框架,以实时估计结构和运动。

    SYSTEM AND METHOD FOR HIGH PERFORMANCE IMAGE PROCESSING
    3.
    发明申请
    SYSTEM AND METHOD FOR HIGH PERFORMANCE IMAGE PROCESSING 审中-公开
    用于高性能图像处理的系统和方法

    公开(公告)号:WO2008031089A3

    公开(公告)日:2008-09-25

    申请号:PCT/US2007077997

    申请日:2007-09-10

    Abstract: The present invention provides a method and a system for high performance image signal processing of continuous images in real time. The system comprising a focal plane array for generating continuous source image frames in real time. The focal plane array divided logically into blocks of sub-frames. The system also comprising an analog to digital converter (ADC) layer having an array of ADC elements for converting the source image frames into a digital data. The system further comprising a digital processor layer having an array of processing elements for processing the digital data and an interconnecting layer for connecting each one of the ADC elements and the digital processing elements substantially vertically to the focal plane and substantially parallel to one another. The processing comprising reducing image motion blur, increasing image dynamic range, increasing image depth of field and obtaining features of the images.

    Abstract translation: 本发明提供了一种用于实时连续图像的高性能图像信号处理的方法和系统。 该系统包括用于实时生成连续源图像帧的焦平面阵列。 焦平面阵列在逻辑上划分为子帧块。 该系统还包括具有用于将源图像帧转换成数字数据的ADC元件阵列的模数转换器(ADC)层。 该系统还包括数字处理器层,该数字处理器层具有用于处理数字数据的处理元件阵列和互连层,用于将ADC元件和数字处理元件中的每一个基本上垂直于焦平面并基本上彼此平行地连接。 该处理包括减少图像运动模糊,增加图像动态范围,增加图像景深和获得图像的特征。

    FLEXIBLE LAYER TRACKING WITH WEAK ONLINE APPEARANCE MODEL
    4.
    发明申请
    FLEXIBLE LAYER TRACKING WITH WEAK ONLINE APPEARANCE MODEL 审中-公开
    柔性层跟踪与弱线性外观模型

    公开(公告)号:WO2007013885A3

    公开(公告)日:2008-09-04

    申请号:PCT/US2005036585

    申请日:2005-10-13

    Abstract: Method for tracking an object recorded within a selected frame of a sequence of frames of video data, using a plurality of layers, where at least one object layer of the plurality of layers represents the object includes initializing layer ownership probabilities for pixels of the selected frame using a non-parametric motion model, estimating a set of motion parameters of the plurality of layers for the selected frame using a parametric maximization algorithm and tracking the object. The non-parametric motion model is optical flow and includes warping the mixing probabilities, the appearances of the plurality of layers, and the observed pixel data from the pixels of the preceding frame to the pixels of the selected frame to initialize the layer ownership probabilities for the pixels of the selected frame.

    Abstract translation: 用于使用多个层来跟踪记录在视频数据帧序列的所选帧内的对象的方法,其中多个层中的至少一个对象层表示对象包括初始化所选帧的像素的层所有权概率 使用非参数运动模型,使用参数最大化算法估计所选择的帧的所述多个层的运动参数的集合并跟踪所述对象。 非参数运动模型是光流,包括混合概率,多层的出现以及从前一帧的像素到所选帧的像素的观察像素数据的变形,以初始化层所有权概率 所选帧的像素。

    MACRO-BLOCK BASED MIXED RESOLUTION VIDEO COMPRESSION SYSTEM
    5.
    发明申请
    MACRO-BLOCK BASED MIXED RESOLUTION VIDEO COMPRESSION SYSTEM 审中-公开
    基于宏块的混合分辨率视频压缩系统

    公开(公告)号:WO2006110890A3

    公开(公告)日:2007-11-15

    申请号:PCT/US2006013983

    申请日:2006-04-10

    Abstract: A system and method of compressing a video signal can include the steps of: receiving a video signal, the video signal including frames; analyzing, for each frame, the video signal on a macroblock-by-macroblock level; determining whether to downsample a macroblock residual for each of the macroblocks; selectively downsampling a macroblock residual for some of the macroblocks; and coding the macroblocks. A system and method of decompressing a video signal can include the steps of receiving a compressed video signal, the video signal including frames; analyzing, for each frame, the video signal on a macroblock-by-macroblock level; determining whether to upsample a macroblock residual for each of the macroblocks; selectively upsampling a macroblock residual for some of the macroblocks; and decoding the macroblocks.

    Abstract translation: 压缩视频信号的系统和方法可以包括以下步骤:接收视频信号,视频信号包括帧; 对于每个帧分析以宏块为单位的视频信号; 确定是否对每个所述宏块的宏块残差进行下采样; 选择性地对一些宏块的宏块残差进行下采样; 并对宏块进行编码。 解压缩视频信号的系统和方法可以包括以下步骤:接收压缩视频信号,视频信号包括帧; 对于每个帧分析以宏块为单位的视频信号; 确定是否对每个宏块的宏块残差进行上采样; 选择性地对一些宏块的宏块残差进行采样; 并解码宏块。

    METHOD FOR SENSING AN ELECTRIC FIELD
    7.
    发明申请
    METHOD FOR SENSING AN ELECTRIC FIELD 审中-公开
    感应电场的方法

    公开(公告)号:WO2006071571A3

    公开(公告)日:2006-12-07

    申请号:PCT/US2005045637

    申请日:2005-12-19

    CPC classification number: G01R29/0814 G01R23/16 G01R29/085

    Abstract: A method (220) for sensing an electric field includes processing (220) digitized electric field signals, e.g., from an electric field sensing probe (110), (110'). The processing (220) may include performing a Fast Fourier Transform (224) of the digitized electric field signals to provide an indication of the magnitude of the electric field, and may include processing (400) the digitized electric field signals at a rate that is related to the speed at which a movable sensing probe (110), (110') is moving. The method may include performing unweighted and/or weighted averaging (228), (231) in relation to processing electric field data, setting a comparison threshold, providing a human perceivable indication, or a combination of the foregoing.

    Abstract translation: 用于感测电场的方法(220)包括例如从电场感测探针(110),(110')处理(220)数字化的电场信号。 处理(220)可以包括执行数字化电场信号的快速傅立叶变换(224)以提供电场幅度的指示,并且可以包括处理(400)数字化电场信号,速率为 与移动感测探头(110),(110')移动的速度相关。 该方法可以包括关于处理电场数据,设置比较阈值,提供人可感知指示或前述的组合来执行未加权和/或加权平均(228),(231)。

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