公开(公告)号：US09122926B2

公开(公告)日：2015-09-01

申请号：US13552694

申请日：2012-07-19

Applicant: Sharath Venkatesha ,  Saad J. Bedros ,  Jan Jelinek

Inventor： Sharath Venkatesha ,  Saad J. Bedros ,  Jan Jelinek

IPC: G06K9/00

CPC classification number: G06K9/0061 ,  G06K9/00617

Abstract: A system receives an iris image and segments the iris region. The segmented iris region is mapped to a unit disk and partitioned into local iris regions (or sectors) as a function of the radius and angle The system calculates localized Zernike moments for a plurality of regions of the unit disk. The localized Zernike moment includes a projection of the local iris region into a space of Zernike polynomial orthogonal basis functions. The system generates an iris feature set from the localized Zernike moments for each partitioned region, excluding the regions which are comprised by occlusion. The iris features are weighted based on the conditions of blur, gaze and occlusion of the iris region. A probe iris image is then matched to a plurality of iris images in a database based on the distance of its feature set to the corresponding plurality of iris feature sets.

Abstract translation: 系统接收虹膜图像并分割虹膜区域。 分割的虹膜区域被映射到单位盘并且根据半径和角度被划分为局部光圈区域（或扇区）。系统计算单位盘的多个区域的局部Zernike力矩。 局部Zernike矩包括局部虹膜区域投影到Zernike多项式正交基函数的空间中。 系统从每个分割区域的局部泽尼克力矩生成虹膜特征集，不包括由遮挡包含的区域。 基于虹膜区域的模糊，注视和闭塞的条件对虹膜特征进行加权。 然后，将探测虹膜图像基于其特征集与相应的多个虹膜特征集合的距离与数据库中的多个虹膜图像进行匹配。

公开(公告)号：US08737687B2

公开(公告)日：2014-05-27

申请号：US13341454

申请日：2011-12-30

Applicant: Jan Jelinek

Inventor： Jan Jelinek

IPC: G06K9/00

CPC classification number: H04N5/23267 ,  G06T5/003 ,  G06T2207/20201

Abstract: Image acquisition systems are described herein. One image acquisition system includes an image recording device configured to determine and record a tracking error associated with a raw image of a moving subject, and a computing device configured to deblur the raw image using the tracking error.

Abstract translation: 图像采集系统在此描述。 一种图像采集系统包括：图像记录装置，被配置为确定和记录与移动的对象的原始图像相关联的跟踪误差;以及计算装置，被配置为使用跟踪误差去除原始图像。

公开(公告)号：US08576324B2

公开(公告)日：2013-11-05

申请号：US12699368

申请日：2010-02-03

Applicant: Jan Jelinek

Inventor： Jan Jelinek

IPC: H04N5/225 ,  H04N9/07 ,  H04N5/335

CPC classification number: H04N5/23254 ,  H04N5/144

Abstract: An image acquisition system that includes a first image recording device that records a series of images of a subject. A lateral velocity vector estimator receives the series of images from the first image recording device and estimates the lateral velocity vectors of the subject relative to the image acquisition system. The image acquisition system further includes a second image recording device that includes an orthogonal transfer CCD sensing element which records a target image of the subject. The orthogonal transfer CCD sensing element includes an array of pixels. A control adjusts the array of pixels within the orthogonal transfer CCD sensing element based on the lateral velocity vector estimates provided by the lateral velocity estimator.

Abstract translation: 一种图像采集系统，包括记录被摄体的一系列图像的第一图像记录装置。 侧向速度矢量估计器从第一图像记录装置接收一系列图像，并估计被摄体相对于图像采集系统的横向速度矢量。 图像采集系统还包括第二图像记录装置，其包括记录被摄体的目标图像的正交转印CCD感测元件。 正交传输CCD感测元件包括像素阵列。 控制器基于由横向速度估计器提供的横向速度矢量估计来调整正交传送CCD感测元件内的像素阵列。

公开(公告)号：US08497904B2

公开(公告)日：2013-07-30

申请号：US12549115

申请日：2009-08-27

Applicant: Jan Jelinek ,  Kwong Wing Au

Inventor： Jan Jelinek ,  Kwong Wing Au

IPC: H04N7/18

CPC classification number: G08B17/125

Abstract: A smoke detector includes processing circuitry coupled to a camera. The field of view of the camera contains one or more targets, each having spatial indicia thereon. The processing circuitry collects a sequence of spatial frequency measures, such as contrast indicating parameters. Members of the sequence can be compared to at least one reference spatial frequency measure to establish the presence of smoke between the target and the camera.

Abstract translation: 烟雾探测器包括耦合到相机的处理电路。 相机的视野包含一个或多个目标，每个目标具有其上的空间标记。 处理电路收集空间频率测量序列，例如对比度指示参数。 可以将序列的成员与至少一个参考空间频率测量进行比较，以确定目标和相机之间存在烟雾。

公开(公告)号：US20130170698A1

公开(公告)日：2013-07-04

申请号：US13341454

申请日：2011-12-30

Applicant: Jan Jelinek

Inventor： Jan Jelinek

IPC: G06K9/40

CPC classification number: H04N5/23267 ,  G06T5/003 ,  G06T2207/20201

Abstract: Image acquisition systems are described herein. One image acquisition system includes an image recording device configured to determine and record a tracking error associated with a raw image of a moving subject, and a computing device configured to deblur the raw image using the tracking error.

Abstract translation: 图像采集系统在此描述。 一种图像采集系统包括：图像记录装置，被配置为确定和记录与移动的对象的原始图像相关联的跟踪误差;以及计算装置，被配置为使用跟踪误差去除原始图像。

公开(公告)号：US08120642B2

公开(公告)日：2012-02-21

申请号：US12180396

申请日：2008-07-25

Applicant: Jan Jelinek ,  Lubomir Koudelka ,  Peter Koudelka ,  Ryan Eckman ,  Daniel Blitz

Inventor： Jan Jelinek ,  Lubomir Koudelka ,  Peter Koudelka ,  Ryan Eckman ,  Daniel Blitz

IPC: H04N7/00 ,  G06K9/00

CPC classification number: G06T3/4038 ,  G06K9/00026 ,  G06K9/00033

Abstract: A swept distance between a subject and a plurality of cameras provides a plurality of raw images. Focused portions of the raw images are fused to generate a synthetic image and a distance image. A projection of the synthetic image and the distance image yields a panoramic image.

Abstract translation: 被摄体与多个照相机之间的扫掠距离提供多个原始图像。 原始图像的聚焦部分被融合以产生合成图像和距离图像。 合成图像和距离图像的投影产生全景图像。

公开(公告)号：US20110298912A1

公开(公告)日：2011-12-08

申请号：US12792498

申请日：2010-06-02

Applicant: Jan Jelinek ,  Kendall Lee Belsley

Inventor： Jan Jelinek ,  Kendall Lee Belsley

IPC: H04N7/18 ,  G01B11/02

CPC classification number: A61B5/1171 ,  A61B5/117 ,  G01J9/00 ,  G06K9/00604

Abstract: Devices and approaches for addressing wavefront corruption in biometric applications. A biometric imaging system may have a laser, a wavefront sensor, and an optical system. The laser may be configured to project a laser spot onto a skin portion of a human face, and the optical system may be configured to collect scattered light from the laser spot and relay the light to the wavefront sensor. The biometric imaging system may also have an adaptive optical element and a controller configured to provide actuation commands to the adaptive optical element based at least in part upon a wavefront distortion measurement output from the wavefront sensor. The optical system may further be configured to relay image light to an image camera of the optical system. The image camera may be an iris camera configured for obtaining iris images suitable for biometric identification.

Abstract translation: 解决生物识别应用中波前损坏的设备和方法。 生物测定成像系统可以具有激光，波前传感器和光学系统。 激光器可以被配置为将激光斑点投射到人脸的皮肤部分上，并且光学系统可以被配置为收集来自激光光斑的散射光并将光中继到波前传感器。 生物测定成像系统还可以具有自适应光学元件和控制器，其被配置为至少部分地基于来自波前传感器的波前失真测量输出来向自适应光学元件提供致动命令。 光学系统还可以被配置为将图像光中继到光学系统的图像相机。 图像摄像机可以是配置用于获得适于生物识别的虹膜图像的虹膜照相机。

公开(公告)号：US07580812B2

公开(公告)日：2009-08-25

申请号：US10767034

申请日：2004-01-28

Applicant: Kartik B. Ariyur ,  Jan Jelinek

Inventor： Kartik B. Ariyur ,  Jan Jelinek

IPC: G06F15/00 ,  H04B17/00

CPC classification number: G05B23/0232

Abstract: A trending system and method for trending data in a mechanical system is provided. The trending system includes a sliding window filter. The sliding window filter receives a data set of data points generated by the mechanical system. The sliding window filter partitions the data set into a plurality of data windows, and uses the data windows to calculate upper and lower confidence bounds for the data set. Specifically, the sliding window filter calculates an upper confidence bounds and lower confidence bounds for each data point using each of the multiple data windows that includes the data point. The sliding window filter then selects the upper confidence bounds and the lower confidence bounds that results in the smallest mean prediction confidence interval for that data point. This results in a smoothed estimated trend for the data set that can be used for prognostication and fault detection.

Abstract translation: 提供了一种用于在机械系统中趋势化数据的趋势系统和方法。 趋势系统包括滑动窗口过滤器。 滑动窗口过滤器接收由机械系统生成的数据点的数据集。 滑动窗口过滤器将数据集划分成多个数据窗口，并使用数据窗口来计算数据集的上限和下限置信界限。 具体来说，滑动窗口过滤器使用包括数据点的多个数据窗口中的每一个来计算每个数据点的上置信界限和下置信界限。 然后，滑动窗口过滤器选择导致该数据点的最小平均预测置信区间的较高置信界限和较低置信界限。 这导致可用于预测和故障检测的数据集的平滑估计趋势。

公开(公告)号：US20080075441A1

公开(公告)日：2008-03-27

申请号：US11681505

申请日：2007-03-02

Applicant: Jan Jelinek ,  Thomas Phinney

Inventor： Jan Jelinek ,  Thomas Phinney

IPC: A61B3/14

CPC classification number: G06K9/00604

Abstract: A camera system may be used to capture iris images of targeted people who may be unaware of being targeted and hence their movement may not be constrained in any way. Iris images may be used for identification and/or tracking of people. In one illustrative embodiment, a camera system may include a focus camera and an iris camera, where the focus camera is sensitive to ambient light or some spectrum thereof, and the iris camera is sensitive to infrared or some other wavelength light. The focus camera and the iris camera may share an optical lens, and the focus camera may be used to auto-focus the lens on a focus target. A beam splitter or other optical element may be used to direct light of some wavelengths to the focus camera for auto-focusing the lens, and other wavelengths to the iris camera for image capture of the iris images.

Abstract translation: 相机系统可以用于捕获可能不知道被目标的目标人物的虹膜图像，并且因此它们的移动可能不受任何限制。 虹膜图像可用于识别和/或追踪人。 在一个说明性实施例中，照相机系统可以包括聚焦照相机和虹膜照相机，其中聚焦照相机对环境光或其某些光谱敏感，并且虹膜照相机对红外线或某些其它波长的光敏感。 对焦相机和光圈相机可以共享光学镜头，并且可以使用对焦相机将镜头自动对焦在对焦目标上。 分束器或其他光学元件可以用于将一些波长的光引导到聚焦照相机，用于自动聚焦透镜，以及将其他波长引导到虹膜照相机，用于虹膜图像的图像捕获。

公开(公告)号：US20050165519A1

公开(公告)日：2005-07-28

申请号：US10767034

申请日：2004-01-28

Applicant: Kartik Ariyur ,  Jan Jelinek

Inventor： Kartik Ariyur ,  Jan Jelinek

IPC: G05B23/02 ,  G06F7/00

CPC classification number: G05B23/0232

Abstract: A trending system and method for trending data in a mechanical system is provided. The trending system includes a sliding window filter. The sliding window filter receives a data set of data points generated by the mechanical system. The sliding window filter partitions the data set into a plurality of data windows, and uses the data windows to calculate upper and lower confidence bounds for the data set. Specifically, the sliding window filter calculates an upper confidence bounds and lower confidence bounds for each data point using each of the multiple data windows that includes the data point. The sliding window filter then selects the upper confidence bounds and the lower confidence bounds that results in the smallest mean prediction confidence interval for that data point. This results in a smoothed estimated trend for the data set that can be used for prognostication and fault detection.

Abstract translation: 提供了一种用于在机械系统中趋势化数据的趋势系统和方法。 趋势系统包括滑动窗口过滤器。 滑动窗口过滤器接收由机械系统生成的数据点的数据集。 滑动窗口过滤器将数据集划分成多个数据窗口，并使用数据窗口来计算数据集的上限和下限置信范围。 具体来说，滑动窗口过滤器使用包括数据点的多个数据窗口中的每一个来计算每个数据点的上置信界限和下置信界限。 然后，滑动窗口过滤器选择导致该数据点的最小平均预测置信区间的较高置信界限和较低置信界限。 这导致可用于预测和故障检测的数据集的平滑估计趋势。