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    • 1. 发明授权
    • Method and system for determining shutter fluttering sequence
    • 确定快门振动序列的方法和系统
    • US09332191B2
    • 2016-05-03
    • US12421296
    • 2009-04-09
    • Scott McCloskeyJan JelinekKwong Wing Au
    • Scott McCloskeyJan JelinekKwong Wing Au
    • H04N5/235H04N5/232
    • H04N5/2353H04N5/23229
    • 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.
    • 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。
    • 2. 发明授权
    • Alert system based on camera identification
    • 基于相机识别的警报系统
    • US08988219B2
    • 2015-03-24
    • US12257969
    • 2008-10-24
    • Scott McCloskey
    • Scott McCloskey
    • G08B21/00G08B29/04G08B13/196
    • G08B29/046G08B13/196
    • Some embodiments of the application provides methods and systems for receiving image frames from a plurality of repositories, extracting a camera fingerprint for each of the image frames, storing the camera fingerprints in a directory, receiving a new image frame from one of the plurality of repositories and extracting a new camera fingerprint corresponding to the new image frame, comparing the new camera fingerprint to each of the stored camera fingerprint, and generating an alert if a match is determined between the new camera fingerprint and at least one of the stored camera fingerprints in the directory.
    • 应用的一些实施例提供了用于从多个存储库接收图像帧的方法和系统,为每个图像帧提取相机指纹,将相机指纹存储在目录中,从多个存储库之一接收新的图像帧 以及提取与所述新图像帧相对应的新相机指纹,将所述新相机指纹与所存储的相机指纹中的每一个进行比较,以及如果在所述新相机指纹和所存储的相机指纹中的至少一个之间确定匹配,则生成警报 目录。
    • 3. 发明授权
    • Feature-based method and system for blur estimation in eye images
    • 基于特征的眼图模糊估计方法和系统
    • US08873810B2
    • 2014-10-28
    • US12421263
    • 2009-04-09
    • Scott McCloskeyJan JelinekKwong Wing Au
    • Scott McCloskeyJan JelinekKwong Wing Au
    • G06K9/40G06K9/00
    • G06K9/00604
    • 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.
    • 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。
    • 4. 发明授权
    • Rendering-based landmark localization from 3D range images
    • 基于渲染的3D范围图像的地标定位
    • US08682041B2
    • 2014-03-25
    • US13016448
    • 2011-01-28
    • Scott McCloskey
    • Scott McCloskey
    • G06K9/00
    • G06K9/00268
    • A computer implemented method comprising acquiring a three-dimensional (3D) range image containing one or more 3D landmarks; rendering the 3D range image into a rendered visible image containing intensity patterns related to the one or more 3D landmarks; and localizing at least one of the one or more 3D landmarks in the rendered visible image to provide at least one localized 3D landmark. is provided. Such methods, and related systems, and devices, are useful in biometric identification applications.
    • 一种计算机实现的方法,包括获取包含一个或多个3D地标的三维(3D)范围图像; 将所述3D范围图像呈现为包含与所述一个或多个3D地标相关的强度模式的呈现的可见图像; 以及将渲染的可见图像中的一个或多个3D地标中的至少一个定位,以提供至少一个局部3D地标。 被提供。 这些方法以及相关系统和装置在生物识别应用中是有用的。
    • 7. 发明申请
    • METHODS AND SYSTEMS FOR CAPTURING AN IMAGE OF A MOVING OBJECT
    • 用于捕获运动对象图像的方法和系统
    • US20120069225A1
    • 2012-03-22
    • US12886638
    • 2010-09-21
    • Scott McCloskey
    • Scott McCloskey
    • H04N5/217
    • H04N5/23248G06T5/003G06T2207/20201H04N5/23267H04N5/2353
    • Methods and systems for capturing an image of a moving subject employ a camera image sensor that captures a blurred image of a moving subject. In-capture positions of the moving object are also determined using a high frame rate camera or other motion sensing device. The PSF for controlling modulation of the light hitting the camera image is successively updated by selecting, from among a plurality of pre-computed invertible PSFs, a pre-computed invertible PSFs for each estimated motion of the moving object. Light hitting the camera image sensor is modulated in capture phase according to one or more of the updated pre-computed invertible PSFs such that the captured blurred image is invertible. The resulting invertible blurred image can be de-blurred using the selected known PSFs to provide a substantially sharp image.
    • 用于捕获移动物体的图像的方法和系统使用捕获移动物体的模糊图像的照相机图像传感器。 运动物体的捕获位置也使用高帧率照相机或其他运动感测装置来确定。 通过从多个预先计算的可逆PSF中选择用于运动对象的每个估计运动的预先计算的可逆PSF,连续地更新用于控制对相机图像的光的调制的PSF。 照相机图像传感器的光根据一个或多个更新的预先计算的可逆PSF在捕获阶段被调制,使得所捕获的模糊图像是可逆的。 所得到的可逆模糊图像可以使用所选择的已知PSF去模糊,以提供基本上清晰的图像。
    • 9. 发明申请
    • METHOD AND SYSTEM FOR DESIGNING OPTIMAL FLUTTER SHUTTER SEQUENCE
    • 用于设计最佳FLUTTER SHUTTER序列的方法和系统
    • US20110216211A1
    • 2011-09-08
    • US12948015
    • 2010-11-17
    • Jan JelinekScott McCloskey
    • Jan JelinekScott McCloskey
    • H04N5/238H04N5/228
    • H04N5/23277H04N5/23267
    • 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.
    • 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。
    • 10. 发明申请
    • LONG-TERM QUERY REFINEMENT SYSTEM
    • 长期查询精炼系统
    • US20110161340A1
    • 2011-06-30
    • US12651397
    • 2009-12-31
    • Scott McCloskeyBen Miller
    • Scott McCloskeyBen Miller
    • G06F17/30
    • G06F16/2425
    • A system for providing long term query refinement. Low level information may be stored based on user feedback. There may be equivalence classes in an archive or memory which contain items from a query search which are labeled positive or negative by a user. Labels may be stored in class pairs over previously run queries. There may be propagation of labels to other items in the same or other classes. There may be a refinement which aids in changing the query to one that indicates more accurately what the user wants. A result set of items may be formulated from which a user may select a new query.
    • 用于提供长期查询优化的系统。 可以基于用户反馈来存储低级信息。 归档或存储器中可能存在等价类,其中包含来自用户标记为正或负的查询搜索的项目。 标签可能会在先前运行的查询中存储在类对中。 标签可能会在相同或其他类别的其他项目中传播。 可能会有一个细化,这有助于将查询更改为更准确地指出用户想要的内容。 项目的结果集可以由用户选择新的查询来形成。