Wide-area real-time method for detecting foreign fluids on water surfaces

    公开(公告)号:AU2015311971B2

    公开(公告)日:2021-01-21

    申请号:AU2015311971

    申请日:2015-09-02

    Inventor: CHENAULT DAVID B

    Abstract: A method using Infrared Imaging Polarimetry for detecting the presence of foreign fluids on water comprises estimating an expected polarization response for a foreign fluid desired to be detected. Oil from an oil spill is one such foreign fluid. An optimal position of a polarimeter to take images of the water's surface is determined from the expected polarization response. The polarimeter is positioned at the optimal position and records raw image data of the water's surface to obtain polarized images of the area. The polarized images are corrected, and IR and polarization data products are computed. The IR and polarization data products are converted to multi-dimensional data set to form multi-dimensional imagery. Contrast algorithms are applied to the multi-dimensional imagery to form enhanced contrast images, from which foreign fluids can be automatically detected.

    WIDE-AREA REAL-TIME METHOD FOR DETECTING FOREIGN FLUIDS ON WATER SURFACES

    公开(公告)号:SG11201701676YA

    公开(公告)日:2017-04-27

    申请号:SG11201701676Y

    申请日:2015-09-02

    Inventor: CHENAULT DAVID B

    Abstract: A method for detecting the presence of foreign fluids on surface comprises estimating an expected polarization response for a foreign fluid desired to be detected. Oil from an oil spill is one such foreign fluid. A polarimeter records raw image data of a surface (e.g., the surface of water) to obtain polarized images of the surface. IR and polarization data products are computed from the polarized images. The IR and polarization data products are converted to multi-dimensional data set to form multi-dimensional imagery. Contrast algorithms are applied to the multi-dimensional imagery to form enhanced contrast images, from which foreign fluids can be automatically detected.

    Polarization-based mapping and perception method and system

    公开(公告)号:AU2015347259A1

    公开(公告)日:2017-03-30

    申请号:AU2015347259

    申请日:2015-08-26

    Abstract: A method using Long Wave Infrared Imaging Polarimetry for improved mapping and perception of a roadway or path and for perceiving or detecting obstacles comprises recording raw image data using a polarimeter to obtain polarized images of the roadway or area. The images are then corrected for non-uniformity, optical distortion, and registration. IR and polarization data products are computed, and the resultant data products are converted to a multi-dimensional data set for exploitation. Contrast enhancement algorithms are applied to the multi-dimensional imagery to form enhanced object images. The enhanced object images may then be displayed to a user, and/or an annunciator may announce the presence of an object. Further, the vehicle may take evasive action based upon the presence of an object in the roadway.

    POLARIZATION-BASED MAPPING AND PERCEPTION METHOD AND SYSTEM
    4.
    发明申请
    POLARIZATION-BASED MAPPING AND PERCEPTION METHOD AND SYSTEM 审中-公开
    基于极化的映射与感知方法与系统

    公开(公告)号:WO2016076936A3

    公开(公告)日:2016-06-16

    申请号:PCT/US2015047008

    申请日:2015-08-26

    Abstract: A method using Long Wave Infrared Imaging Polarimetry for improved mapping and perception of a roadway or path and for perceiving or detecting obstacles comprises recording raw image data using a polarimeter to obtain polarized images of the roadway or area. The images are then corrected for non-uniformity, optical distortion, and registration. IR and polarization data products are computed, and the resultant data products are converted to a multi-dimensional data set for exploitation. Contrast enhancement algorithms are applied to the multi-dimensional imagery to form enhanced object images. The enhanced object images may then be displayed to a user, and/or an annunciator may announce the presence of an object. Further, the vehicle may take evasive action based upon the presence of an object in the roadway.

    Abstract translation: 一种使用长波红外成像旋光仪以改进道路或路径的映射和感知以及用于感知或检测障碍物的方法包括使用旋光仪记录原始图像数据以获得道路或区域的偏振图像。 然后校正图像以获得不均匀性,光学失真和配准。 计算IR和偏振数据产品,并将所得到的数据产品转换成多维数据集用于开发。 对比增强算法被应用于多维图像以形成增强的对象图像。 然后可以将增强的对象图像显示给用户,和/或信号器可以宣布对象的存在。 此外,基于道路中物体的存在,车辆可以采取回避行动。

    POLARIZATION IMAGING FOR FACIAL RECOGNITION ENHANCEMENT SYSTEM AND METHOD
    5.
    发明申请
    POLARIZATION IMAGING FOR FACIAL RECOGNITION ENHANCEMENT SYSTEM AND METHOD 审中-公开
    用于面部识别增强系统和方法的极化成像

    公开(公告)号:WO2015152984A2

    公开(公告)日:2015-10-08

    申请号:PCT/US2015012446

    申请日:2015-01-22

    Abstract: A method for enhancing an image for facial recognition comprises capturing an image of the face with a polarizer and correcting the polarized image for non-uniformity. Stokes Parameters S0, S1, S2 are obtained by weighted subtraction of the polarized image to form Stokes images. DoLP is computed from the Stokes images, and facial recognition algorithms are applied to the DoLP image. A system for enhancing images for facial recognition comprises a polarimeter configured to record polarized image data of a subject's face, a signal processing unit and logic configured to receive and store in memory the image data from the polarimeter, calculate Stokes parameters from the image data, and compute a DoLP image from the Stokes parameters.

    Abstract translation: 用于增强用于面部识别的图像的方法包括用偏振器捕获脸部的图像并校正偏振图像以使其不均匀。 斯托克斯参数S0,S1,S2是通过加权减去偏振图像获得的,以形成斯托克斯图像。 DoLP是从斯托克斯图像计算的,面部识别算法应用于DoLP图像。 一种用于增强用于面部识别的图像的系统,包括被配置为记录被摄体的面部的偏振图像数据的偏振计,信号处理单元和被配置为在存储器中存储来自偏振计的图像数据的逻辑,从图像数据计算斯托克斯参数, 并从Stokes参数计算DoLP图像。

    Wide-area real-time method for detecting foreign fluids on water surfaces

    公开(公告)号:AU2015311971A1

    公开(公告)日:2017-03-30

    申请号:AU2015311971

    申请日:2015-09-02

    Inventor: CHENAULT DAVID B

    Abstract: A method using Infrared Imaging Polarimetry for detecting the presence of foreign fluids on water comprises estimating an expected polarization response for a foreign fluid desired to be detected. Oil from an oil spill is one such foreign fluid. An optimal position of a polarimeter to take images of the water's surface is determined from the expected polarization response. The polarimeter is positioned at the optimal position and records raw image data of the water's surface to obtain polarized images of the area. The polarized images are corrected, and IR and polarization data products are computed. The IR and polarization data products are converted to multi-dimensional data set to form multi-dimensional imagery. Contrast algorithms are applied to the multi-dimensional imagery to form enhanced contrast images, from which foreign fluids can be automatically detected.

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