METHOD AND SYSTEM FOR DETERMINING SHUTTER FLUTTERING SEQUENCE
    1.
    发明申请
    METHOD AND SYSTEM FOR DETERMINING SHUTTER FLUTTERING SEQUENCE 有权
    用于确定切换器FLUTTERING序列的方法和系统

    公开(公告)号:US20100220896A1

    公开(公告)日:2010-09-02

    申请号:US12421296

    申请日:2009-04-09

    CPC classification number: H04N5/2353 H04N5/23229

    Abstract: A method, system and computer-usable medium for determining shutter fluttering sequence. The disclosed approach is based on the use of shutter flutter technology, which means that an image can be acquired in such a manner as to encode all information about the moving subject. The disclosed approach involves determining a shutter's fluttering pattern that optimally encodes information at all frequencies. The disclosed approach involves an optimization method for finding a shutter fluttering pattern that has several desired properties. These properties can be expressed in the context of a fitness function: given a fluttering pattern and the target subject's velocity, it produces the equivalent Modulation Transfer Function (MTF), measures three attributes, and produces a fitness score. These attributes are the minimum contrast, the variance in contrast across spatial frequencies, and the mean contrast. The objective of the disclosed approach is to determine the fluttering pattern that maximizes the fitness score.

    Abstract translation: 一种用于确定快门飘飘序列的方法,系统和计算机可用介质。 所公开的方法基于快门颤动技术的使用,这意味着可以以对编码关于移动被摄体的所有信息的方式来获取图像。 所公开的方法涉及确定在所有频率处对信息进行最佳编码的快门飘动模式。 所公开的方法涉及用于找到具有若干期望特性的快门飘动图案的优化方法。 这些属性可以在适应度函数的上下文中表达:给出一个飘动的模式和目标对象的速度,它产生等效的调制传递函数(MTF),测量三个属性,并产生适合度。 这些属性是最小对比度,空间频率对比度的差异以及平均对比度。 所公开的方法的目的是确定使适应度得分最大化的飘动模式。

    Method and system for designing optimal flutter shutter sequence
    2.
    发明授权
    Method and system for designing optimal flutter shutter sequence 有权
    设计最佳颤振快门序列的方法和系统

    公开(公告)号:US08537272B2

    公开(公告)日:2013-09-17

    申请号:US12948015

    申请日:2010-11-17

    CPC classification number: H04N5/23277 H04N5/23267

    Abstract: A method, system and computer-usable medium for determining an optimal shutter fluttering sequence. The disclosed approach is based on the use of shutter flutter technology, which means that an image can be acquired in such a manner as to encode all information about the moving subject. The disclosed approach involves determining a shutter's fluttering pattern that optimally encodes information at all frequencies. The disclosed approach involves an optimization method for finding a shutter fluttering pattern that maximizes the minimum value of a function defining the plurality of flutter shutter sequences over a frequency domain. The disclosed approach involves eliminating all flutter shutter sequences that contain lost frequencies. The objective of the disclosed approach is to select an optimal flutter shutter sequence for implementation with a flutter shutter camera.

    Abstract translation: 一种用于确定最佳快门飘动序列的方法,系统和计算机可用介质。 所公开的方法基于快门颤动技术的使用,这意味着可以以对编码关于移动被摄体的所有信息的方式来获取图像。 所公开的方法涉及确定在所有频率处对信息进行最佳编码的快门飘动模式。 所公开的方法涉及一种用于找到使频率域上定义多个颤振快门序列的函数的最小值最大化的快门颤动模式的优化方法。 所公开的方法包括消除包含丢失频率的所有颤动快门序列。 所公开的方法的目的是选择用于快速快门摄像机实现的最佳颤动快门序列。

    Method and system for determining shutter fluttering sequence
    3.
    发明授权
    Method and system for determining shutter fluttering sequence 有权
    确定快门振动序列的方法和系统

    公开(公告)号:US09332191B2

    公开(公告)日:2016-05-03

    申请号:US12421296

    申请日:2009-04-09

    CPC classification number: H04N5/2353 H04N5/23229

    Abstract: A method, system and computer-usable medium for determining shutter fluttering sequence. The disclosed approach is based on the use of shutter flutter technology, which means that an image can be acquired in such a manner as to encode all information about the moving subject. The disclosed approach involves determining a shutter's fluttering pattern that optimally encodes information at all frequencies. The disclosed approach involves an optimization method for finding a shutter fluttering pattern that has several desired properties. These properties can be expressed in the context of a fitness function: given a fluttering pattern and the target subject's velocity, it produces the equivalent Modulation Transfer Function (MTF), measures three attributes, and produces a fitness score. These attributes are the minimum contrast, the variance in contrast across spatial frequencies, and the mean contrast. The objective of the disclosed approach is to determine the fluttering pattern that maximizes the fitness score.

    Abstract translation: 一种用于确定快门飘飘序列的方法,系统和计算机可用介质。 所公开的方法是基于快门颤动技术的使用,这意味着可以以对编码关于移动被摄体的所有信息的方式来获取图像。 所公开的方法涉及确定在所有频率处对信息进行最佳编码的快门飘动模式。 所公开的方法涉及用于找到具有若干期望特性的快门飘动图案的优化方法。 这些属性可以在适应度函数的上下文中表达:给出一个飘动的模式和目标对象的速度,它产生等效的调制传递函数(MTF),测量三个属性,并产生适合度。 这些属性是最小对比度,空间频率对比度的差异以及平均对比度。 所公开的方法的目的是确定使适应度得分最大化的飘动模式。

    Feature-based method and system for blur estimation in eye images
    4.
    发明授权
    Feature-based method and system for blur estimation in eye images 有权
    基于特征的眼图模糊估计方法和系统

    公开(公告)号:US08873810B2

    公开(公告)日:2014-10-28

    申请号:US12421263

    申请日:2009-04-09

    CPC classification number: G06K9/00604

    Abstract: A feature-based method and system for blur estimation in eye images. A blur estimation can be performed from eye/iris images in order to produce de-blurred images that are more useful for biometric identification. The eye/iris region, in particular the edge between the iris and pupil regions, can be utilized. The pattern of shutter motion or a characterization of the optical system can be utilized. By capturing a burst of images, or a video stream, one can use eye position in the images before and after a given capture to predict the motion of the eye within that capture. Because the before/after image frames need only contain the information necessary to locate the eye, and need not contain sufficient information to perform matching, the capture of these images can be accomplished with a wider range of settings.

    Abstract translation: 一种基于特征的眼图模糊估计方法和系统。 可以从眼睛/虹膜图像执行模糊估计,以产生对生物识别更有用的去模糊图像。 可以利用眼/虹膜区域,特别是虹膜和瞳孔区域之间的边缘。 可以利用快门运动的模式或光学系统的表征。 通过捕获图像的突发或视频流,可以在给定捕获之前和之后的图像中使用眼睛位置来预测该捕获内的眼睛的运动。 因为前/后图像帧仅需要包含定位眼睛所需的信息,并且不需要包含足够的信息来执行匹配,所以可以利用较宽的设置范围来捕获这些图像。

    METHOD AND SYSTEM FOR DESIGNING OPTIMAL FLUTTER SHUTTER SEQUENCE
    5.
    发明申请
    METHOD AND SYSTEM FOR DESIGNING OPTIMAL FLUTTER SHUTTER SEQUENCE 有权
    用于设计最佳FLUTTER SHUTTER序列的方法和系统

    公开(公告)号:US20110216211A1

    公开(公告)日:2011-09-08

    申请号:US12948015

    申请日:2010-11-17

    CPC classification number: H04N5/23277 H04N5/23267

    Abstract: A method, system and computer-usable medium for determining an optimal shutter fluttering sequence. The disclosed approach is based on the use of shutter flutter technology, which means that an image can be acquired in such a manner as to encode all information about the moving subject. The disclosed approach involves determining a shutter's fluttering pattern that optimally encodes information at all frequencies. The disclosed approach involves an optimization method for finding a shutter fluttering pattern that maximizes the minimum value of a function defining the plurality of flutter shutter sequences over a frequency domain. The disclosed approach involves eliminating all flutter shutter sequences that contain lost frequencies. The objective of the disclosed approach is to select an optimal flutter shutter sequence for implementation with a flutter shutter camera.

    Abstract translation: 一种用于确定最佳快门飘动序列的方法,系统和计算机可用介质。 所公开的方法基于快门颤动技术的使用,这意味着可以以对编码关于移动被摄体的所有信息的方式来获取图像。 所公开的方法涉及确定在所有频率处对信息进行最佳编码的快门飘动模式。 所公开的方法涉及一种用于找到使在频域上定义多个颤振快门序列的函数的最小值最大化的快门颤动模式的优化方法。 所公开的方法包括消除包含丢失频率的所有颤动快门序列。 所公开的方法的目的是选择用于快速快门摄像机实现的最佳颤动快门序列。

    FEATURE-BASED METHOD AND SYSTEM FOR BLUR ESTIMATION IN EYE IMAGES
    6.
    发明申请
    FEATURE-BASED METHOD AND SYSTEM FOR BLUR ESTIMATION IN EYE IMAGES 有权
    基于特征的眼睛图像估计方法和系统

    公开(公告)号:US20100220898A1

    公开(公告)日:2010-09-02

    申请号:US12421263

    申请日:2009-04-09

    CPC classification number: G06K9/00604

    Abstract: A feature-based method and system for blur estimation in eye images. A blur estimation can be performed from eye/iris images in order to produce de-blurred images that are more useful for biometric identification. The eye/iris region, in particular the edge between the iris and pupil regions, can be utilized. The pattern of shutter motion or a characterization of the optical system can be utilized. By capturing a burst of images, or a video stream, one can use eye position in the images before and after a given capture to predict the motion of the eye within that capture. Because the before/after image frames need only contain the information necessary to locate the eye, and need not contain sufficient information to perform matching, the capture of these images can be accomplished with a wider range of settings.

    Abstract translation: 一种基于特征的眼图模糊估计方法和系统。 可以从眼睛/虹膜图像执行模糊估计,以产生对生物识别更有用的去模糊图像。 可以利用眼/虹膜区域,特别是虹膜和瞳孔区域之间的边缘。 可以利用快门运动的模式或光学系统的表征。 通过捕获图像的突发或视频流,可以在给定捕获之前和之后的图像中使用眼睛位置来预测该捕获内的眼睛的运动。 因为前/后图像帧仅需要包含定位眼睛所需的信息,并且不需要包含足够的信息来执行匹配,所以可以通过更广泛的设置实现这些图像的捕获。

    IMAGE ACQUISITION SYSTEM
    7.
    发明申请
    IMAGE ACQUISITION SYSTEM 有权
    图像采集系统

    公开(公告)号:US20100033677A1

    公开(公告)日:2010-02-11

    申请号:US12188561

    申请日:2008-08-08

    Applicant: Jan Jelinek

    Inventor: Jan Jelinek

    CPC classification number: H04N5/23212 G06K9/00604 H04N5/23219

    Abstract: A system having a sensor and variable focus lens for iris image standoff acquisition. The sensor may capture a sequence of images at a high frame rate of a person for getting an eye or an iris in a window within the images. Even if the eye moves around in the image, the window may stay on the eye. During this capture, the focus of the lens may be changed, with a best focus situated somewhere in between the end focus positions of the lens. The sensor may be an infrared (IR) sensor and an IR illuminator or flash may provide light for the capture of images. An intensity variance indicator may be incorporated to select an in-focus image of the sequence. Processing of the images may be subsequent to the capture of images, thus not hindering the frame rate of the system.

    Abstract translation: 具有用于虹膜图像间隔采集的传感器和可变焦距透镜的系统。 传感器可以在人的高帧速率下拍摄图像序列以获得图像内的窗口中的眼睛或虹膜。 即使眼睛在图像中移动,窗户也可能留在眼睛上。 在拍摄过程中,可能会改变镜头的焦点,最佳对焦位于镜头的末端对焦位置之间。 传感器可以是红外(IR)传感器,红外照明器或闪光灯可以提供用于捕获图像的光。 可以并入强度方差指示符以选择序列的对焦图像。 图像的处理可以在捕获图像之后,因此不会妨碍系统的帧速率。

    Laser source detection system and method
    8.
    发明申请
    Laser source detection system and method 审中-公开
    激光源检测系统及方法

    公开(公告)号:US20080121826A1

    公开(公告)日:2008-05-29

    申请号:US11272527

    申请日:2005-11-11

    Abstract: A system and method for laser source detection. An exemplary embodiment of the system includes a first array of lenses, a second array of opto devices (including light sources and light detectors), and at least one processor. Energy from the light source may be detected at the array of opto devices having lenses at known positions, to allow the approximate location of the laser source to be determined. Upon determining the source, responsive action may be taken. If the incoming laser is from a friendly party, a friendly-party notification may be provided. If the incoming laser is from an enemy, reciprocal targeting or false reflections may be employed.

    Abstract translation: 一种用于激光源检测的系统和方法。 该系统的示例性实施例包括第一透镜阵列,第二光学器件阵列(包括光源和光检测器)以及至少一个处理器。 可以在具有在已知位置处的透镜的光学器件的阵列处检测来自光源的能量,以允许确定激光源的大致位置。 在确定来源时,可以采取响应式的动作。 如果进来的激光来自友好方,可能会提供友好方通知。 如果进来的激光来自敌人,则可以采用相互对准或假反射。

    CAMERA WITH AUTO FOCUS CAPABILITY
    9.
    发明申请
    CAMERA WITH AUTO FOCUS CAPABILITY 有权
    具有自动聚焦能力的相机

    公开(公告)号:US20080075445A1

    公开(公告)日:2008-03-27

    申请号:US11681251

    申请日:2007-03-02

    CPC classification number: G02B7/28 G02B7/36 H04N5/23212 H04N5/23245

    Abstract: A method and apparatus for automatically focusing a camera that may rely upon ambient light for auto focusing and flash illumination for image capture. A correction factor may be determined that is based at least in part on a range between the camera and a desired subject. The camera focus may be adjusted in accordance with the correction factor prior to capturing a capture image using flash illumination.

    Abstract translation: 用于自动聚焦可能依赖于环境光的自动聚焦和闪光照明以进行图像捕获的相机的方法和装置。 可以至少部分地基于相机和期望对象之间的范围来确定校正因子。 在使用闪光照明拍摄拍摄图像之前,可以根据校正因子来调整照相机对焦。

    Laser source detection system and method
    10.
    发明申请
    Laser source detection system and method 失效
    激光源检测系统及方法

    公开(公告)号:US20050012031A1

    公开(公告)日:2005-01-20

    申请号:US10622819

    申请日:2003-07-18

    Abstract: A system and method for laser source detection. An exemplary embodiment of the system includes a first array of lenses, a second array of opto devices (including light sources and light detectors), and at least one processor. By positioning the array of lenses to determine the lens position at which energy from an incoming laser is greatest on the light detectors, the approximate location of the laser source may be determined. Upon determining the source, responsive action may be taken. If the incoming laser is from a friendly party, a friendly-party notification may be provided. If the incoming laser is from an enemy, reciprocal targeting or false reflections may be employed.

    Abstract translation: 一种用于激光源检测的系统和方法。 该系统的示例性实施例包括第一透镜阵列,第二光学器件阵列(包括光源和光检测器)以及至少一个处理器。 通过定位透镜阵列来确定光检测器上来自入射激光器的能量最大的透镜位置,可以确定激光源的大致位置。 在确定来源时,可以采取响应式的动作。 如果进来的激光来自友好方,可能会提供友好方通知。 如果进来的激光来自敌人,则可以采用相互对准或假反射。

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