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    Multi-view image registration with application to mosaicing and lens distortion correction
    12.
    发明授权
    Multi-view image registration with application to mosaicing and lens distortion correction 失效
    多视图图像配准应用于镶嵌和镜头失真校正

    公开(公告)号：US06173087B2

    公开(公告)日：2001-01-09

    申请号：US08966776

    申请日：1997-11-10

    申请人： Rakesh Kumar ,  Harpreet Singh Sawhney ,  James Russell Bergen

    发明人： Rakesh Kumar ,  Harpreet Singh Sawhney ,  James Russell Bergen

    IPC分类号： G06K936

    CPC分类号： G06K9/32 ,  G06K2009/2045 ,  G06T3/0081 ,  G06T3/4038 ,  H04N19/23 ,  H04N19/597

    摘要： An embodiment of the invention is a system and process for true multi-image alignment that does not rely on the measurements of a reference image being distortion free. For instance, lens distortion is a common imaging phenomenon. When lens distortion is present, none of the images can be assumed to be ideal. In an embodiment of the invention, all the images are modeled as intensity measurements represented in their respective coordinate systems, each of which is related to a reference coordinate system through an interior camera transformation and an exterior view transformation. Motion parameters determined in accordance with an embodiment of the invention dictate the position of the input frames within the reference frame. A reference coordinate system is used, but not a reference image. Motion parameters are computed to warp all input images to a virtual image mosaic in the reference coordinate system of the reference frame. Each pixel in the virtual image mosaic may be predicted by intensities at corresponding pixel positions from more than one image. The error measure, which is the sum of the variances of predicted pixel intensities at each pixel location summed over the virtual image mosaic, is minimized. The embodiment of the invention advantageously maximally uses information present in all images.

    摘要翻译： 本发明的实施例是用于真正的多图像对准的系统和过程，其不依赖于无失真的参考图像的测量。 例如，镜头失真是常见的成像现象。 当存在透镜失真时，不能假定图像是理想的。 在本发明的一个实施例中，所有图像被建模为在它们各自的坐标系中表示的强度测量值，每个坐标系统通过内部照相机变换和外部视图变换与参考坐标系相关。 根据本发明的实施例确定的运动参数指示输入框在参考框架内的位置。 使用参考坐标系，而不是参考图像。 计算运动参数以将所有输入图像扭曲成参考框架的参考坐标系中的虚拟图像马赛克。 可以通过来自多于一个图像的相应像素位置处的强度来预测虚拟图像镶嵌中的每个像素。 误差测量值是在虚拟图像镶嵌中相加的每个像素位置处的预测像素强度的方差之和。 本发明的实施例有利地最大限度地利用存在于所有图像中的信息。

    Method of capturing image data for iris code based identification of vertebrates
    13.
    发明授权
    Method of capturing image data for iris code based identification of vertebrates 有权
    捕获脊椎动物识别虹膜代码图像数据的方法

    公开(公告)号：US08854446B2

    公开(公告)日：2014-10-07

    申请号：US13096724

    申请日：2011-04-28

    申请人： James Russell Bergen ,  Oleg Naroditsky

    发明人： James Russell Bergen ,  Oleg Naroditsky

    IPC分类号： H04N9/47 ,  H04N7/18 ,  G06K9/00

    CPC分类号： G06K9/00604

    摘要： A method of capturing image data for iris code based identification of vertebrates, including humans, comprises the steps of: recording a digital image of an eye with a camera equipped with at least two light sources that have a fixed spatial relationship to an object lens of the camera; locating the eye in the digital image by detecting a specularity pattern that is created by reflection of light from said at least two light sources at a cornea of the eye; and calculating information on the position of the camera relative to the eye on the basis of said fixed spatial relationship between the light sources and the object lens and on the basis of said specularity pattern.

    摘要翻译： 一种捕获包括人类在内的脊椎动物识别的基于虹膜代码的图像数据的方法包括以下步骤：用配备有至少两个光源的相机配备眼睛的数字图像，所述至少两个光源与物镜具有固定的空间关系 相机; 通过检测通过在眼睛的角膜处来自所述至少两个光源的光的反射而产生的镜面图案来将眼睛定位在数字图像中; 并且基于所述光源和所述物镜之间的所述固定空间关系，并且基于所述镜面反射图案来计算相机相对于所述眼睛的位置的信息。

    Method of pupil segmentation
    14.
    发明授权
    Method of pupil segmentation 有权
    瞳孔分割方法

    公开(公告)号：US08682073B2

    公开(公告)日：2014-03-25

    申请号：US13096716

    申请日：2011-04-28

    申请人： James Russell Bergen

    发明人： James Russell Bergen

    IPC分类号： G06K9/34

    CPC分类号： G06K9/00597

    摘要： A method of pupil segmentation in a digital image of a vertebrate eye, said image being an intensity image composed of pixels having each a specific intensity value, the method comprising the steps of: deriving a texture image from the intensity image, said texture image being composed of pixels having each a specific contrast value; forming a combined image by point-wise combining the intensity image with the texture image, identifying a set of pixels in the combined image which fulfill a combined low-intensity and low-contrast criterion; and approximating a boundary of said set by a convex curve and taking said convex curve as a boundary of the pupil.

    摘要翻译： 一种在脊椎动物眼睛的数字图像中的瞳孔分割方法，所述图像是由具有特定强度值的像素组成的强度图像，所述方法包括以下步骤：从强度图像导出纹理图像，所述纹理图像为 由具有特定对比度值的像素组成; 通过将强度图像与纹理图像进行逐点组合来形成组合图像，识别组合图像中满足组合的低强度和低对比度标准的一组像素; 并且通过凸曲线逼近所述集合的边界，并将所述凸曲线作为瞳孔的边界。

    Moving target detection in the presence of parallax
    15.
    发明授权
    Moving target detection in the presence of parallax 有权
    在存在视差的情况下移动目标检测

    公开(公告)号：US08340349B2

    公开(公告)日：2012-12-25

    申请号：US11763559

    申请日：2007-06-15

    申请人： Garbis Salgian ,  Supun Samarasekera ,  Jiangjian Xiao ,  James Russell Bergen ,  Rakesh Kumar ,  Feng Han

    发明人： Garbis Salgian ,  Supun Samarasekera ,  Jiangjian Xiao ,  James Russell Bergen ,  Rakesh Kumar ,  Feng Han

    IPC分类号： G06K9/00

    CPC分类号： G06K9/3241 ,  G06K9/209 ,  G06T7/285 ,  G06T2207/10021 ,  G06T2207/30212 ,  G06T2207/30252

    摘要： A method for detecting a moving target is disclosed that receives a plurality of images from at least one camera; receives a measurement of scale from one of a measurement device and a second camera; calculates the pose of the at least one camera over time based on the plurality of images and the measurement of scale; selects a reference image and an inspection image from the plurality of images of the at least one camera; and detects a moving target from the reference image and the inspection image based on the orientation of corresponding portions in the reference image and the inspection image relative to a location of an epipolar direction common to the reference image and the inspection image; and displays any detected moving target on a display. The measurement of scale can derived from a second camera or, for example, a wheel odometer. The method can also detect moving targets by combining the above epipolar method with a method based on changes in depth between the inspection image and the reference image and based on changes in flow between the inspection image and the reference image.

    摘要翻译： 公开了一种用于检测移动目标的方法，其从至少一个相机接收多个图像; 从测量装置和第二相机中的一个接收刻度的测量; 基于多个图像和尺度的测量来计算随时间的至少一个相机的姿态; 从所述至少一个照相机的多个图像中选择参考图像和检查图像; 并且基于所述参考图像和所述检查图像中的对应部分相对于所述参考图像和所述检查图像共同的核极方向的位置的取向，从所述参考图像和所述检查图像中检测移动目标; 并在显示器上显示任何检测到的移动目标。 刻度的测量可以从第二相机或例如车轮里程表得到。 该方法还可以通过将上述对极方法与基于检查图像和参考图像之间的深度变化的方法并基于检查图像与参考图像之间的流动变化组合来检测移动目标。

    Method and apparatus for improving image resolution
    18.
    发明授权
    Method and apparatus for improving image resolution 失效
    改善图像分辨率的方法和装置

    公开(公告)号：US06208765B1

    公开(公告)日：2001-03-27

    申请号：US09100853

    申请日：1998-06-19

    申请人： James Russell Bergen

    发明人： James Russell Bergen

    IPC分类号： G06T500

    CPC分类号： G06T3/4053 ,  G06T3/4007 ,  G06T5/50 ,  H04N1/3876

    摘要： A method and apparatus that improves the quality of digital images. When provided a plurality of digital images, the method and apparatus aligns the digital images to a reference coordinate system, and synthesizes an enhanced image such that the regions of image overlap between any two images have substantially improved quality.

    摘要翻译： 提高数字图像质量的方法和装置。 当提供多个数字图像时，方法和装置将数字图像对准参考坐标系，并且合成增强图像，使得任何两个图像之间的图像重叠区域具有显着改善的质量。