Motion deblurring
    11.
    发明授权
    Motion deblurring 有权
    运动脱模

    公开(公告)号:US09552630B2

    公开(公告)日:2017-01-24

    申请号:US14176984

    申请日:2014-02-10

    CPC classification number: G06T5/003 G06T2200/21 H04N5/23258 H04N5/23267

    Abstract: Motion de-blurring systems and methods are described herein. One motion de-blurring system includes an image sensing element, one or more motion sensors in an imaging device, a lens element that undergoes motion during a capture of an image by the sensing element, and a de-blurring element to de-blur the image captured by the sensing element via de-convolving a Point Spread Function (PSF).

    Abstract translation: 本文描述了运动去模糊系统和方法。 一种运动去模糊系统包括图像感测元件,成像装置中的一个或多个运动传感器,在感测元件捕获图像期间经历运动的透镜元件,以及去模糊元件 由传感元件通过去卷积点扩展函数(PSF)捕获的图像。

    Discriminative classification using index-based ranking of large multimedia archives
    12.
    发明授权
    Discriminative classification using index-based ranking of large multimedia archives 有权
    使用基于索引的大型多媒体档案排序的歧视性分类

    公开(公告)号:US09015201B2

    公开(公告)日:2015-04-21

    申请号:US13776356

    申请日:2013-02-25

    CPC classification number: G06F17/30321 G06K9/6281

    Abstract: Devices, systems, and methods of performing feature detection on a set of multimedia files are disclosed. One method of organization includes identifying a feature from each multimedia file within the set of multimedia files wherein each file has one feature, organizing the features based on their similarities wherein similar features are grouped based upon a proximity in a feature space and a representative feature is identified for each group, receiving a detection model having one or more detection criteria the detection model having previously been trained for detection using the organized features, and using the representative features to apply the detection model in a decreasing order of detection probability in order to detect the files satisfying the detection criteria within the set of multimedia files.

    Abstract translation: 公开了在一组多媒体文件上执行特征检测的装置,系统和方法。 一种组织方法包括从多媒体文件集合内的每个多媒体文件中识别特征,其中每个文件具有一个特征,基于它们的相似性来组织特征,其中基于特征空间中的接近度对相似特征进行分组,并且代表性特征是 为每个组识别,接收具有一个或多个检测准则的检测模型,该检测模型先前已经使用有组织特征进行了检测训练,并且使用代表性特征以检测概率的降序来应用检测模型,以便检测 满足多媒体文件集合内的检测标准的文件。

    CROSS-SENSOR IRIS MATCHING
    13.
    发明申请
    CROSS-SENSOR IRIS MATCHING 有权
    交叉传感器IRIS匹配

    公开(公告)号:US20140313306A1

    公开(公告)日:2014-10-23

    申请号:US13864934

    申请日:2013-04-17

    CPC classification number: G06K9/00617 G06K9/00604 G06K9/0061

    Abstract: Methods, devices, and systems for cross-sensor iris matching are described herein. One method includes capturing a first image of an iris using a first sensor, capturing a second image of an iris using a second sensor, and determining whether the iris in the first image matches the iris in the second image based on characteristics of the first sensor and the second sensor and image quality of the first image and the second image.

    Abstract translation: 本文描述了用于交叉传感器虹膜匹配的方法,装置和系统。 一种方法包括使用第一传感器捕获虹膜的第一图像,使用第二传感器捕获虹膜的第二图像,以及基于第一传感器的特性来确定第一图像中的虹膜是否匹配第二图像中的虹膜 以及第二传感器和第一图像和第二图像的图像质量。

    Removing an occlusion from an image
    16.
    发明授权
    Removing an occlusion from an image 有权
    从图像中删除遮挡

    公开(公告)号:US09373183B2

    公开(公告)日:2016-06-21

    申请号:US14081888

    申请日:2013-11-15

    Inventor: Scott McCloskey

    Abstract: Systems, methods, and devices for reducing an occlusion in an image are described herein. For example, one or more embodiments include a method including providing image information from a first image taken from a light field camera, analyzing image information from multiple sub-aperture images extracted from the image information of the first image to separate foreground and background appearance information, creating a mask of an occlusion based on the separated foreground and background appearance information, and rendering a second, modified image where the mask has been applied to reduce the occlusion in the modified image.

    Abstract translation: 本文描述了用于减少图像中遮挡的系统,方法和装置。 例如,一个或多个实施例包括一种方法,该方法包括从从光场照相机获得的第一图像提供图像信息,分析从第一图像的图像信息提取的多个子孔径图像的图像信息,以分离前景和背景外观信息 基于分离的前景和背景外观信息创建遮挡的掩模,以及渲染其中已经应用了掩码以减少修改图像中的遮挡的第二修改图像。

    Variable depth of field barcode scanner
    17.
    发明授权
    Variable depth of field barcode scanner 有权
    可变景深条码扫描仪

    公开(公告)号:US09342724B2

    公开(公告)日:2016-05-17

    申请号:US14483056

    申请日:2014-09-10

    Abstract: Generally discussed herein are techniques, software, apparatuses, and systems configured for variable depth of field scanners. In one or more embodiments, a method can include exposing a light sensor of a barcode scanner for a specified time, altering a focal point of a variable focus element situated in the light path of the light sensor from a first focal point to a second focal point in the specified time, and processing an image of a barcode produced by the light sensor to deblur the image.

    Abstract translation: 这里通常讨论的是为可变景深扫描仪配置的技术,软件,设备和系统。 在一个或多个实施例中,一种方法可以包括将指定时间的条形码扫描器的光传感器曝光,将位于光传感器的光路中的可变焦点元件的焦点从第一焦点改变为第二焦点 指定时间,并且处理由光传感器产生的条形码的图像以去除图像。

    CROSS-SENSOR IRIS MATCHING
    18.
    发明申请
    CROSS-SENSOR IRIS MATCHING 有权
    交叉传感器IRIS匹配

    公开(公告)号:US20160078294A1

    公开(公告)日:2016-03-17

    申请号:US14947611

    申请日:2015-11-20

    CPC classification number: G06K9/00617 G06K9/00604 G06K9/0061

    Abstract: Methods, devices, and systems for cross-sensor iris matching are described herein. One method includes capturing a first image of an iris using a first sensor, capturing a second image of an iris using a second sensor, and determining whether the iris in the first image matches the iris in the second image based on characteristics of the first sensor and the second sensor and image quality of the first image and the second image.

    Abstract translation: 本文描述了用于交叉传感器虹膜匹配的方法,装置和系统。 一种方法包括使用第一传感器捕获虹膜的第一图像,使用第二传感器捕获虹膜的第二图像,以及基于第一传感器的特性来确定第一图像中的虹膜是否匹配第二图像中的虹膜 以及第二传感器和第一图像和第二图像的图像质量。

    BARCODE IMAGING
    19.
    发明申请

    公开(公告)号:US20150161427A1

    公开(公告)日:2015-06-11

    申请号:US14566464

    申请日:2014-12-10

    Abstract: Methods, devices, and systems for barcode imaging are described herein. One method includes capturing image data that is used to form an image with a light field imager, wherein the image includes a barcode, locating the barcode within the image, measuring a variance of at least a portion of the barcode region of the image, and refocusing at least a portion of the image based on the measured variance.

    Abstract translation: 本文描述了用于条形码成像的方法,装置和系统。 一种方法包括捕获用于用光场成像器形成图像的图像数据,其中图像包括条形码,将条形码定位在图像内,测量图像的条形码区域的至少一部分的方差,以及 基于测量的方差重新聚焦图像的至少一部分。

    DISCRIMINATIVE CLASSIFICATION USING INDEX-BASED RANKING OF LARGE MULTIMEDIA ARCHIVES
    20.
    发明申请
    DISCRIMINATIVE CLASSIFICATION USING INDEX-BASED RANKING OF LARGE MULTIMEDIA ARCHIVES 有权
    使用基于索引的大型多媒体存档排序的分类分类

    公开(公告)号:US20130282721A1

    公开(公告)日:2013-10-24

    申请号:US13776356

    申请日:2013-02-25

    CPC classification number: G06F17/30321 G06K9/6281

    Abstract: Devices, systems, and methods of performing feature detection on a set of multimedia files are disclosed. One method of organization includes identifying a feature from each multimedia file within the set of multimedia files wherein each file has one feature, organizing the features based on their similarities wherein similar features are grouped based upon a proximity in a feature space and a representative feature is identified for each group, receiving a detection model having one or more detection criteria the detection model having previously been trained for detection using the organized features, and using the representative features to apply the detection model in a decreasing order of detection probability in order to detect the files satisfying the detection criteria within the set of multimedia files.

    Abstract translation: 公开了在一组多媒体文件上执行特征检测的装置,系统和方法。 一种组织方法包括从多媒体文件集合内的每个多媒体文件中识别特征,其中每个文件具有一个特征,基于它们的相似性来组织特征,其中基于特征空间中的接近度对相似特征进行分组,并且代表性特征是 为每个组识别,接收具有一个或多个检测准则的检测模型,该检测模型先前已经使用有组织特征进行了检测训练,并且使用代表性特征以检测概率的降序来应用检测模型,以便检测 满足多媒体文件集合内的检测标准的文件。

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