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    Image processing apparatus, image processing method and program
    4.
    发明授权
    Image processing apparatus, image processing method and program 有权

    公开(公告)号：EP2793172B1

    公开(公告)日：2018-09-05

    申请号：EP14163293.5

    申请日：2014-04-03

    Applicant: OMRON CORPORATION

    Inventor： Kato, Yutaka ,  Kiuchi, Yutaka

    IPC: G06K9/62 ,  G06T7/33 ,  G06T7/00

    CPC classification number: G06T7/001 ,  G06K9/6206 ,  G06K9/6255 ,  G06K2209/19 ,  G06T7/344 ,  G06T2207/20044 ,  G06T2207/30164

    Abstract: To provide an image processing apparatus capable of permitting local shape deformation of a measuring target in pattern matching using a shape feature of the measuring target. A model is defined by a plurality of first positions on an edge extracted from a model image and a changing direction of the edge in each of the first positions. An image processing apparatus (100) calculates a changing direction of an edge in a second position of an input image corresponding to the first position on the edge of the model image. The image processing apparatus (100) accepts an instruction associated with a permissible value of the changing direction of the edge. The image processing apparatus (100) calculates a similarity degree of the first position and the second position corresponding to the first position based on the accepted instruction, the changing direction of the edge in the first and second position. The image processing apparatus (100) determines whether a specific area in the input image is similar to the model or not based on the calculated similarity degree in the second positions.

    IMAGING SYSTEM FOR FUEL TANK ANALYSIS
    8.
    发明公开
    IMAGING SYSTEM FOR FUEL TANK ANALYSIS 审中-公开
    燃油箱分析成像系统

    公开(公告)号：EP3203200A1

    公开(公告)日：2017-08-09

    申请号：EP17154817.5

    申请日：2017-02-06

    Applicant: Simmonds Precision Products, Inc.

    Inventor： ZAKRZEWSKI, Radoslaw ,  MILLER, Mark Sherwood ,  LYNCH, Michael A.

    IPC: G01F23/292 ,  G01M5/00

    CPC classification number: G06T7/001 ,  G01F23/292 ,  G01F25/0061 ,  G01M5/0016 ,  G01M5/0041 ,  G01M5/0091 ,  G06T7/344 ,  G06T7/62 ,  G06T7/75 ,  G06T2207/30248

    Abstract: A method can include generating image data of an interior of a fuel tank (12) disposed within a wing of an aircraft, and determining (114), by a processing device, an amount of wing bending of the wing of the aircraft based on the generated image data of the interior of the fuel tank. The method can further include producing (116), by the processing device, a fuel measurement value representing an amount of fuel contained in the fuel tank based on the amount of wing bending of the wing of the aircraft, and outputting (118), by the processing device, an indication of the fuel measurement value.

    Abstract translation: 一种方法可以包括：生成设置在飞机的机翼内的燃料箱（12）的内部的图像数据;以及由处理设备基于所述图像数据确定（114）所述飞行器的机翼的机翼弯曲量 生成燃料箱内部的图像数据。 该方法可以进一步包括由处理装置基于飞机机翼的机翼弯曲量产生表示包含在燃料箱中的燃料量的燃料测量值，并且输出（118）： 处理装置，燃油测量值的指示。

    SYSTEM AND METHOD FOR IMAGES DISTORTION CORRECTION
    9.
    发明公开
    SYSTEM AND METHOD FOR IMAGES DISTORTION CORRECTION 审中-公开
    系统VERFAHREN ZUR BILDVERZERRUNGSKORREKTUR

    公开(公告)号：EP3127324A1

    公开(公告)日：2017-02-08

    申请号：EP15773972.3

    申请日：2015-03-29

    Applicant: Israel Aerospace Industries Ltd.

    Inventor： RAICHMAN, Nadav ,  SCHWARTZ, Roni ,  BAR-DAVID, Hadas ,  LITTMAN, Rotem ,  DANINO, Udy ,  ZIEBER, Noga ,  GUROVICH, Yaron

    IPC: H04N5/335 ,  H04N5/21 ,  H04N5/357 ,  G06T5/50

    CPC classification number: G06T5/006 ,  G06T3/0068 ,  G06T3/0093 ,  G06T5/50 ,  G06T7/11 ,  G06T7/174 ,  G06T7/344 ,  H04N5/357

    Abstract: Images are processed to compensate for rolling shutter effects. A pair of images are registered. A set of pixel rows in the first image and a corresponding set of pixel rows in the second image are obtained. A parametric model is generated characterizing a transformation between pixels in the set of pixel rows in the first image with pixels in the corresponding set of pixel rows of the second image. Using the generated parametric model, the set of pixel rows in the second image is warped with respect to the set of pixel rows in the first image, reducing rolling shutter effects.

    Abstract translation: 处理图像以补偿滚动快门效果。 一对图像被注册。 获得第一图像中的一组像素行和第二图像中的相应的像素行集合。 生成参数模型，其特征在于在第一图像中的像素行集合中的像素之间的变换与第二图像的相应的像素行集合中的像素的变换。 使用所生成的参数模型，第二图像中的像素行集合相对于第一图像中的像素行集合变形，从而减少滚动快门效果。

    Image registration of multimodal data using 3D geoarcs
    10.
    发明公开
    Image registration of multimodal data using 3D geoarcs 有权
    Bialregistrierung von multimodalen Daten mit 3D-Geoarcs

    公开(公告)号：EP2660777A3

    公开(公告)日：2016-11-02

    申请号：EP13162342.3

    申请日：2013-04-04

    Applicant: The Boeing Company

    Inventor： Owechko, Yuri

    IPC: G06T7/00 ,  G06T17/05

    CPC classification number: G06T7/344 ,  G06T17/05

    Abstract: An accurate, flexible and scalable technique for multi-modal image registration is described, a technique that does not need to rely on direct feature matching and does not need to rely on precise geometric models. The methods and/or systems described in this disclosure enable the registration (fusion) of multi-modal images of a scene (700) with a three dimensional (3D) representation of the same scene (700) using, among other information, viewpoint data from a sensor (706, 1214, 1306) that generated a target image (402), as well as 3D-GeoArcs. The registration techniques of the present disclosure may be comprised of three main steps, as shown in FIG. 1. The first main step includes forming a 3D reference model of a scene (700). The second main step includes estimating the 3D geospatial viewpoint of a sensor (706, 1214, 1306) that generated a target image (402) using 3D-GeoArcs. The third main step includes projecting the target image's data into a composite 3D scene representation.

    Abstract translation: 描述了一种用于多模态图像配准的精确，灵活和可扩展的技术，这种技术不需要依赖于直接特征匹配，并且不需要依赖于精确的几何模型。 在本公开中描述的方法和/或系统使得能够使用视点数据等将场景（700）的多模态图像与同一场景（700）的三维（3D）表示进行注册（融合） 来自生成目标图像（402）的传感器（706,1214,1306）以及3D-GeoArcs。 本公开的注册技术可以由三个主要步骤组成，如图1所示。 第一主要步骤包括形成场景的3D参考模型（700）。 第二主要步骤包括使用3D-GeoArcs估计产生目标图像（402）的传感器（706,1214,1306）的3D地理空间视点。 第三主要步骤包括将目标图像的数据投影到复合3D场景表示中。

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