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公开(公告)号：US20160350346A1
公开(公告)日：2016-12-01
申请号：US14671614
申请日：2015-03-27
Applicant: RAYTHEON COMPANY
Inventor： Eran Marcus , David U. Fluckiger , Brian F. Boland
CPC classification number: G06F17/30336 , G01S7/486 , G01S17/10 , G06F17/142 , G06F17/15 , G06F17/3053
Abstract: A method for computing a cross-correlation between a first sequence and a second sequence includes: generating a first index vector based on the first sequence, the first index vector including a plurality of first elements, the first index vector excluding indices of zero valued elements of the first sequence; generating a second index vector based on the second sequence, the second index vector including a plurality of second elements, the second index vector excluding indices of zero valued elements of the second sequence; computing, on a processor, a plurality of pairwise differences between each of first elements of the first index vector and each of the second elements of the second index vector; and binning, on the processor, the plurality of pairwise differences to generate the cross-correlation of the first sequence and the second sequence.
Abstract translation: 一种用于计算第一序列和第二序列之间的互相关的方法包括：基于所述第一序列生成第一索引向量，所述第一索引向量包括多个第一元素，所述第一索引向量不包括零值元素的索引 的第一个序列; 基于所述第二序列生成第二索引向量，所述第二索引向量包括多个第二元素，所述第二索引向量不包括所述第二序列的零值元素的索引; 在处理器上计算所述第一索引向量的每个第一元素和所述第二索引向量中的每个第二元素之间的多个成对差异; 以及在所述处理器上合并所述多个成对差异以产生所述第一序列和所述第二序列的互相关。
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公开(公告)号：US20150227022A1
公开(公告)日：2015-08-13
申请号：US14177175
申请日：2014-02-10
Applicant: RAYTHEON COMPANY
Inventor： David U. Fluckiger
IPC: G03B13/36
CPC classification number: G03B13/36 , H04N5/23212
Abstract: An autofocus metric approach for focusing video images, automatically, based on images taken during a focus sweep in which a focus cell is repositioned for each of the images is provided. The approach includes, given an edge detected image from the focus sweep and an associated focus cell position in the focus sweep, an autofocus engine dividing the edge detected image into sub-images. For each sub-image, the autofocus engine calculates a normalized edge detection strength and compares it to a threshold. Based on the comparison, the autofocus engine determines whether an edge is present in the sub-image. Based on the determinations of edges in the sub-images, the autofocus engine calculates an autofocus metric associated with the given focus cell position. The autofocus engine provides the autofocus metric together with autofocus metrics associated with other focus cell positions to focus the video images.
Abstract translation: 提供了一种自动聚焦度量方法，用于根据在聚焦小区中为每个图像重新定位的聚焦扫描期间拍摄的图像自动对焦视频图像。 该方法包括：给定来自聚焦扫描的边缘检测图像和聚焦扫描中相关联的聚焦单元位置的自动聚焦引擎将边缘检测图像划分为子图像。 对于每个子图像，自动对焦引擎计算归一化边缘检测强度并将其与阈值进行比较。 基于比较，自动对焦引擎确定子图像中是否存在边缘。 基于子图像中的边缘的确定，自动聚焦引擎计算与给定聚焦单元位置相关联的自动聚焦度量。 自动对焦引擎提供自动对焦指标以及与其他焦点单元格位置相关联的自动对焦指标，以对视频图像进行对焦。
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公开(公告)号：US20160033642A1
公开(公告)日：2016-02-04
申请号：US14448465
申请日：2014-07-31
Applicant: Raytheon Company
Inventor： David U. Fluckiger
CPC classification number: G01S17/026 , G01S7/4816 , G01S7/486 , G01S17/06 , G01S17/10 , G01S17/89 , G02B26/0833
Abstract: Laser light pulsed to illuminate and reflect from at least one object is received at a digital micro-mirror device including an array of mirrors each of which may be selectively controlled to be oriented to either reflect incident light onto a detector or not. The detector outputs a signal representative of an amount of light sensed. By applying M spatial patterns to the mirrors, each in synchronization with one pulse from the laser, and storing sampled signal values from the detector output at each of K times following a pulse from the laser, the collected information may be used to reconstruct K images each using all M spatial patterns and stored sampled signal values corresponding to a respective one of the K times. Each of the K images corresponds to a different range to the digital micro-mirror device, such that the system may be employed as a range finder.
Abstract translation: 在包括反射镜阵列的数字微镜装置中接收脉冲以从至少一个物体照射和反射的激光，每个反射镜阵列可被选择性地控制以被定向以将入射光反射到检测器上。 检测器输出表示感测光量的信号。 通过将M个空间图案应用于反射镜，每个与来自激光器的一个脉冲同步，并且在来自激光器的脉冲之后的K次中存储来自检测器输出的采样信号值，所收集的信息可用于重建K个图像 每个使用所有M个空间模式和对应于K个相应的一个的存储的采样信号值。 K个图像中的每一个对应于与数字微镜装置不同的范围，使得该系统可以用作测距仪。
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公开(公告)号：US20180130191A1
公开(公告)日：2018-05-10
申请号：US15569757
申请日：2015-04-27
Applicant: RAYTHEON COMPANY
Inventor： David U. Fluckiger , Christopher J. Beardsley , Craig R. Franklin
CPC classification number: G06T5/50 , G06T5/001 , G06T5/003 , G06T2207/10016 , G06T2207/10024 , G06T2207/10032 , G06T2207/20016 , G06T2207/20032 , G06T2207/20056 , G06T2207/20182
Abstract: A system for processing video. The system may include a video camera, a processing unit, and a video display, the video camera being configured to generate a plurality of consecutive luminance frames, including a last frame and a plurality of preceding frames. The processing unit may be configured to: shift the plurality of preceding frames, to register the preceding frames with the last frame to form a plurality of shifted frames, take a Fourier transform of each of the plurality of frames, to form a corresponding plurality of initial Fourier transform frames, iteratively update the plurality of Fourier transform frames by, on the (n+1)th iteration of a plurality of iterations, replacing each Fourier transform frame with a linear combination of the Fourier transform frames of the nth iteration, the Fourier transform frames of the 0th iteration being the initial Fourier transform frames.
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Patent Agency Ranking
公开(公告)号：US09823350B2
公开(公告)日：2017-11-21
申请号：US14448465
申请日：2014-07-31
Applicant: Raytheon Company
Inventor： David U. Fluckiger
CPC classification number: G01S17/026 , G01S7/4816 , G01S7/486 , G01S17/06 , G01S17/10 , G01S17/89 , G02B26/0833
Abstract: Laser light pulsed to illuminate and reflect from at least one object is received at a digital micro-mirror device including an array of mirrors each of which may be selectively controlled to be oriented to either reflect incident light onto a detector or not. The detector outputs a signal representative of an amount of light sensed. By applying M spatial patterns to the mirrors, each in synchronization with one pulse from the laser, and storing sampled signal values from the detector output at each of K times following a pulse from the laser, the collected information may be used to reconstruct K images each using all M spatial patterns and stored sampled signal values corresponding to a respective one of the K times. Each of the K images corresponds to a different range to the digital micro-mirror device, such that the system may be employed as a range finder.
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公开(公告)号：US10719924B2
公开(公告)日：2020-07-21
申请号：US15569757
申请日：2015-04-27
Applicant: RAYTHEON COMPANY
Inventor： David U. Fluckiger , Christopher J. Beardsley , Craig R. Franklin
Abstract: A system for processing video. The system may include a video camera, a processing unit, and a video display, the video camera being configured to generate a plurality of consecutive luminance frames, including a last frame and a plurality of preceding frames. The processing unit may be configured to: shift the plurality of preceding frames, to register the preceding frames with the last frame to form a plurality of shifted frames, take a Fourier transform of each of the plurality of frames, to form a corresponding plurality of initial Fourier transform frames, iteratively update the plurality of Fourier transform frames by, on the (n+1)th iteration of a plurality of iterations, replacing each Fourier transform frame with a linear combination of the Fourier transform frames of the nth iteration, the Fourier transform frames of the 0th iteration being the initial Fourier transform frames.
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公开(公告)号：US10521883B1
公开(公告)日：2019-12-31
申请号：US16046833
申请日：2018-07-26
Applicant: RAYTHEON COMPANY
Abstract: System and method for image turbulence correction includes: receiving a plurality of consecutive image frames; demosaicing previous, current and preceding image frames into a plurality of same size overlapping video tiles; determining a displacement of each of the video tiles; converting the video tiles of the current image frame, the previous image frame, and the plurality of preceding image frames into a frequency domain; iteratively processing the video tiles of the previous image frame, the current image frame and the plurality of preceding image frames for turbulence correction in the frequency domain; converting the turbulence corrected video tiles into a spatial domain, wherein the converted turbulence corrected video tiles form a single video frame tile including turbulence degradation correction; and mosaicing the single video frame tiles including turbulence degradation correction together to generate a full field of view turbulence correct video stream.
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公开(公告)号：US09858304B2
公开(公告)日：2018-01-02
申请号：US14671614
申请日：2015-03-27
Applicant: RAYTHEON COMPANY
Inventor： Eran Marcus , David U. Fluckiger , Brian F Boland
CPC classification number: G06F17/30336 , G01S7/486 , G01S17/10 , G06F17/142 , G06F17/15 , G06F17/3053
Abstract: A method for computing a cross-correlation between a first sequence and a second sequence includes: generating a first index vector based on the first sequence, the first index vector including a plurality of first elements, the first index vector excluding indices of zero valued elements of the first sequence; generating a second index vector based on the second sequence, the second index vector including a plurality of second elements, the second index vector excluding indices of zero valued elements of the second sequence; computing, on a processor, a plurality of pairwise differences between each of first elements of the first index vector and each of the second elements of the second index vector; and binning, on the processor, the plurality of pairwise differences to generate the cross-correlation of the first sequence and the second sequence.
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公开(公告)号：US09354489B2
公开(公告)日：2016-05-31
申请号：US14177175
申请日：2014-02-10
Applicant: RAYTHEON COMPANY
Inventor： David U. Fluckiger
CPC classification number: G03B13/36 , H04N5/23212
Abstract: An autofocus metric approach for focusing video images, automatically, based on images taken during a focus sweep in which a focus cell is repositioned for each of the images is provided. The approach includes, given an edge detected image from the focus sweep and an associated focus cell position in the focus sweep, an autofocus engine dividing the edge detected image into sub-images. For each sub-image, the autofocus engine calculates a normalized edge detection strength and compares it to a threshold. Based on the comparison, the autofocus engine determines whether an edge is present in the sub-image. Based on the determinations of edges in the sub-images, the autofocus engine calculates an autofocus metric associated with the given focus cell position. The autofocus engine provides the autofocus metric together with autofocus metrics associated with other focus cell positions to focus the video images.
Abstract translation: 提供了一种自动聚焦度量方法，用于根据在聚焦小区中为每个图像重新定位的聚焦扫描期间拍摄的图像自动对焦视频图像。 该方法包括：给定来自聚焦扫描的边缘检测图像和聚焦扫描中相关联的聚焦单元位置的自动聚焦引擎将边缘检测图像划分为子图像。 对于每个子图像，自动对焦引擎计算归一化边缘检测强度并将其与阈值进行比较。 基于比较，自动对焦引擎确定子图像中是否存在边缘。 基于子图像中的边缘的确定，自动聚焦引擎计算与给定聚焦单元位置相关联的自动聚焦度量。 自动对焦引擎提供自动对焦指标以及与其他焦点单元格位置相关联的自动对焦指标，以对视频图像进行对焦。
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