公开(公告)号：US09105128B2

公开(公告)日：2015-08-11

申请号：US13219461

申请日：2011-08-26

Applicant: M. Dirk Robinson ,  Mark Robertson ,  Hadar Isaac ,  Oliver Guinan ,  Thomas Joseph Melendez ,  Daniel Berkenstock ,  Julian Mann

Inventor： M. Dirk Robinson ,  Mark Robertson ,  Hadar Isaac ,  Oliver Guinan ,  Thomas Joseph Melendez ,  Daniel Berkenstock ,  Julian Mann

IPC: G06Q30/02 ,  G06K9/00 ,  G06F17/30 ,  G06T17/05

CPC classification number: G06T17/05 ,  G06F17/30256 ,  G06Q30/02

Abstract: Described are systems, methods, computer programs, and user interfaces for image location, acquisition, analysis, and data correlation that uses human-in-the-loop processing, Human Intelligence Tasks (HIT), and/or or automated image processing. Results obtained using image analysis are correlated to non-spatial information useful for commerce and trade. For example, images of regions of interest of the earth are used to count items (e.g., cars in a store parking lot to predict store revenues), detect events (e.g., unloading of a container ship, or evaluating the completion of a construction project), or quantify items (e.g., the water level in a reservoir, the area of a farming plot).

Abstract translation: 描述了使用人在环处理，人类智能任务（HIT）和/或自动图像处理的图像定位，获取，分析和数据相关的系统，方法，计算机程序和用户界面。 使用图像分析获得的结果与对商业和贸易有用的非空间信息相关。 例如，地球感兴趣区域的图像用于计数项目（例如，商店停车场中的汽车来预测商店收入），检测事件（例如，卸载集装箱船或评估建筑项目的完成情况 ）或量化项目（例如，水库的水位，农业地区的面积）。

公开(公告)号：US08897595B2

公开(公告)日：2014-11-25

申请号：US12079555

申请日：2008-03-26

Applicant: M. Dirk Robinson ,  Junlan Yang ,  David G. Stork

Inventor： M. Dirk Robinson ,  Junlan Yang ,  David G. Stork

IPC: G06K9/36 ,  H04N5/235 ,  H04N5/232 ,  G06T5/50

CPC classification number: H04N5/2355 ,  G06T1/0007 ,  G06T5/50 ,  G06T7/571 ,  G06T7/97 ,  G06T2207/10004 ,  G06T2207/20208 ,  H04N5/23212 ,  H04N5/235 ,  H04N5/2352 ,  H04N5/2356

Abstract: Multiframe reconstruction combines a set of acquired images into a reconstructed image. Here, which images to acquire are selected based at least in part on the content of previously acquired images. In one approach, a set of at least three images of an object are acquired at different acquisition settings. For at least one of the images in the set, the acquisition setting for the image is determined based at least in part on the content of previously acquired images. Multiframe image reconstruction is applied to the set of acquired images to synthesize a reconstructed image of the object.

Abstract translation: 多帧重建将一组获取的图像组合成重建的图像。 这里，至少部分地基于先前获取的图像的内容来选择要获取的图像。 在一种方法中，在不同的获取设置下获取对象的至少三个图像的集合。 对于集合中的至少一个图像，至少部分地基于先前获取的图像的内容来确定图像的获取设置。 将多帧图像重建应用于所获取的图像集合以合成对象的重建图像。

公开(公告)号：US20130051621A1

公开(公告)日：2013-02-28

申请号：US13614050

申请日：2012-09-13

Applicant: M. Dirk Robinson ,  Mark Robertson ,  Hadar Isaac ,  Oliver Guinan ,  Thomas Joseph Melendez ,  Daniel Berkenstock ,  Julian Mann

Inventor： M. Dirk Robinson ,  Mark Robertson ,  Hadar Isaac ,  Oliver Guinan ,  Thomas Joseph Melendez ,  Daniel Berkenstock ,  Julian Mann

IPC: G06K9/80

CPC classification number: G06K9/0063 ,  G06K9/6254

Abstract: Described are systems, methods, computer programs, and user interfaces for image location, acquisition, analysis, and data correlation that uses human-in-the-loop processing, Human Intelligence Tasks (HIT), and/or or automated image processing. Results obtained using image analysis are correlated to non-spatial information useful for commerce and trade. For example, images of regions of interest of the earth are used to count items (e.g., cars in a store parking lot to predict store revenues), detect events (e.g., unloading of a container ship, or evaluating the completion of a construction project), or quantify items (e.g., the water level in a reservoir, the area of a farming plot).

Abstract translation: 描述了使用人在环处理，人类智能任务（HIT）和/或自动图像处理的图像定位，获取，分析和数据相关的系统，方法，计算机程序和用户界面。 使用图像分析获得的结果与对商业和贸易有用的非空间信息相关。 例如，地球感兴趣区域的图像用于计数项目（例如，商店停车场中的汽车来预测商店收入），检测事件（例如，卸载集装箱船或评估建筑项目的完成情况 ）或量化项目（例如，水库的水位，农业地区的面积）。

公开(公告)号：US20120293669A1

公开(公告)日：2012-11-22

申请号：US13454756

申请日：2012-04-24

Applicant: Julian M. Mann ,  Daniel Berkenstock ,  M. Dirk Robinson

Inventor： Julian M. Mann ,  Daniel Berkenstock ,  M. Dirk Robinson

IPC: H04N5/225

CPC classification number: G01J3/2823 ,  G01C11/02 ,  G01C11/025 ,  G01J3/36 ,  G01J3/462 ,  G01J3/513 ,  G01J2003/2826 ,  H01L31/02162 ,  H04N5/372

Abstract: Examples of an imaging sensor include a two-dimensional staring sensor with spectral filter strips for multispectral overhead imaging. The sensor may also include a panchromatic sensor with block or strip filters. The sensor may be used to collect multispectral color image data at a sampling resolution from overhead imaging platforms such as airplanes or satellites. The sensor can be used to provide video images. If a panchromatic sensor is included, the sensor may be used to collect panchromatic image data. Examples of methods for processing the image date include using the panchromatic image data to perform multi-frame enhancement or panchromatic sharpening on spectral images to improve their quality and resolution.

Abstract translation: 成像传感器的示例包括具有用于多光谱开销成像的光谱滤光片条的二维凝视传感器。 传感器还可以包括具有块状或带状过滤器的全色传感器。 该传感器可以用于从诸如飞机或卫星的开销成像平台以采样分辨率收集多光谱彩色图像数据。 该传感器可用于提供视频图像。 如果包括全色传感器，传感器可用于收集全色图像数据。 用于处理图像日期的方法的示例包括使用全色图像数据对光谱图像执行多帧增强或全色锐化以提高其质量和分辨率。

公开(公告)号：US08149319B2

公开(公告)日：2012-04-03

申请号：US11999101

申请日：2007-12-03

Applicant: M. Dirk Robinson

Inventor： M. Dirk Robinson

IPC: G02B13/16 ,  G02B27/10 ,  G02B3/00 ,  H04N5/225 ,  H04N5/228 ,  H04N5/235 ,  H04N9/07

CPC classification number: H04N17/002 ,  G02B9/02 ,  G02B9/10 ,  G02B9/16 ,  G02B13/001 ,  G02B13/0025 ,  G02B13/003 ,  G06T5/003 ,  G06T5/50 ,  G06T2207/10024 ,  H04N9/045

Abstract: An electro-optic color imaging system includes an optical subsystem, a detector subsystem and a digital image processing subsystem. The system is used to image a color-correlated object. In the optical subsystem, the image surfaces for different color channels of the object are substantially separated. Thus, one color channel may be in focus while others are out of focus. The detector subsystem is located at a fixed image distance from the optical subsystem and captures the different color channel images of the object. The image processing subsystem estimates the image of the object by combining the captured color channel images based at least in part on an a priori estimate of the correlation between the color channels.

Abstract translation: 电光彩色成像系统包括光学子系统，检测器子系统和数字图像处理子系统。 该系统用于对颜色相关对象进行成像。 在光学子系统中，物体的不同颜色通道的图像表面基本分离。 因此，一个颜色通道可以是焦点，而另一个颜色通道不在焦点。 检测器子系统位于与光学子系统固定的图像距离处，并捕获对象的不同颜色通道图像。 图像处理子系统至少部分地基于颜色通道之间的相关性的先验估计来组合捕获的彩色通道图像来估计对象的图像。

公开(公告)号：US07924341B2

公开(公告)日：2011-04-12

申请号：US11447369

申请日：2006-06-05

Applicant: M. Dirk Robinson

Inventor： M. Dirk Robinson

IPC: G02B13/16 ,  G02F1/03

CPC classification number: G02B27/0068 ,  H04N5/232

Abstract: An optical subsystem (e.g., a lens assembly) provides descriptors of the image quality produced by the optics. The descriptors can be communicated to the electrical back-end (e.g., detector plus image processing), which can then automatically adjust the image processing accordingly.

Abstract translation: 光学子系统（例如，透镜组件）提供由光学器件产生的图像质量的描述符。 描述符可以传送到电后端（例如，检测器加图像处理），然后可以相应地自动调整图像处理。

公开(公告)号：US20090322928A1

公开(公告)日：2009-12-31

申请号：US12215742

申请日：2008-06-27

Applicant: M. Dirk Robinson ,  David G. Stork

Inventor： M. Dirk Robinson ,  David G. Stork

IPC: H04N5/225

CPC classification number: G02B27/0025 ,  G06T5/006 ,  H04N5/335 ,  H04N5/3572

Abstract: An electro-optic imaging system includes an aberrated triplet lens, a detector subsystem and a digital image processing subsystem. The triplet lens is not fully corrected for all aberrations (typically suffering from significant spherical aberration), with the digital image processing subsystem compensating for deficiencies in the triplet lens. In this way, an increased depth of field can be realized.

Abstract translation: 电光成像系统包括像差三重透镜，检测器子系统和数字图像处理子系统。 数字图像处理子系统补偿三重透镜中的缺陷，对于所有像差（通常都会产生显着的球面像差），三重透镜未完全校正。 以这种方式，可以实现增加的景深。

公开(公告)号：US08379913B1

公开(公告)日：2013-02-19

申请号：US13614050

申请日：2012-09-13

Applicant: M. Dirk Robinson ,  Mark Robertson ,  Hadar Isaac ,  Oliver Guinan ,  Thomas Joseph Melendez ,  Daniel Berkenstock ,  Julian Mann

Inventor： M. Dirk Robinson ,  Mark Robertson ,  Hadar Isaac ,  Oliver Guinan ,  Thomas Joseph Melendez ,  Daniel Berkenstock ,  Julian Mann

IPC: G06K9/00

CPC classification number: G06K9/0063 ,  G06K9/6254

Abstract: Described are systems, methods, computer programs, and user interfaces for image location, acquisition, analysis, and data correlation that uses human-in-the-loop processing, Human Intelligence Tasks (HIT), and/or or automated image processing. Results obtained using image analysis are correlated to non-spatial information useful for commerce and trade. For example, images of regions of interest of the earth are used to count items (e.g., cars in a store parking lot to predict store revenues), detect events (e.g., unloading of a container ship, or evaluating the completion of a construction project), or quantify items (e.g., the water level in a reservoir, the area of a farming plot).

公开(公告)号：US08248684B2

公开(公告)日：2012-08-21

申请号：US12198765

申请日：2008-08-26

Applicant: M. Dirk Robinson ,  David G. Stork

Inventor： M. Dirk Robinson ,  David G. Stork

IPC: G02B26/00 ,  G02B26/08

CPC classification number: G02B26/06

Abstract: Adaptive optics (AO) elements in imaging system allow dynamic and precise control over the optical wavefront to reduce uncontrolled wavefront errors in imaging systems. Traditional control of such devices is based on inverting the wavefront function to minimize the RMS wavefront error. However, this approach is not always optimal, particularly when the wavefront error is near or exceeds the limit of the AO element's correction capability. In the current approach, the AO element is instead controlled based on a performance metric that takes into account image processing, and not just RMS wavefront error.

Abstract translation: 成像系统中的自适应光学（AO）元件允许对光学波前进行动态和精确的控制，以减少成像系统中不受控制的波前误差。 这种设备的传统控制是基于反转波前函数来最小化RMS波前误差。 然而，这种方法并不总是最佳的，特别是当波前误差接近或超过AO元件校正能力的极限时。 在当前的方法中，AO元素是根据考虑到图像处理的性能指标来控制的，而不仅仅是RMS波前误差。

公开(公告)号：US08116587B2

公开(公告)日：2012-02-14

申请号：US12706648

申请日：2010-02-16

Applicant: Mohammed Shoaib ,  Guotong Feng ,  M. Dirk Robinson

Inventor： Mohammed Shoaib ,  Guotong Feng ,  M. Dirk Robinson

IPC: G06K9/36

CPC classification number: G06T3/0018

Abstract: A method and system for high-speed and low-complexity geometric transformation of signals are described. In one embodiment, the system comprises an input patch consisting of a window of pixels from an input image. The system may further comprise a transformation selector to generate control data to control a geometric transformation mapping based on the location of a current pixel being processed. In one embodiment, the system may also comprise a hardware geometric transform engine to perform a geometric transformation mapping by switching on one path through the geometric transform engine from an input window to an output pixel using the control data. In one embodiment, the system may further comprise an interpolator to generate interpolated geometric transformation mappings using the control data and multiple outputs from the geometric transform engine by switching on multiple paths from an input window.

Abstract translation: 描述了用于信号的高速和低复杂度几何变换的方法和系统。 在一个实施例中，系统包括由输入图像的像素窗组成的输入贴片。 系统还可以包括变换选择器，以生成控制数据，以基于正在处理的当前像素的位置来控制几何变换映射。 在一个实施例中，系统还可以包括硬件几何变换引擎，以通过使用控制数据从输入窗口切换到通过几何变换引擎的一个路径到输出像素来执行几何变换映射。 在一个实施例中，系统还可以包括内插器，以通过从输入窗口接通多个路径，使用控制数据和来自几何变换引擎的多个输出来生成内插几何变换映射。