LOCATION ESTIMATING APPARATUS AND METHOD, LEARNING APPARATUS AND METHOD, AND COMPUTER PROGRAM PRODUCTS

    公开(公告)号:US20200013188A1

    公开(公告)日:2020-01-09

    申请号:US16291493

    申请日:2019-03-04

    Abstract: A location estimating apparatus according to an embodiment includes a degree-of-similarity calculator, a correspondence calculator, and a location calculator. The degree-of-similarity calculator calculates a degree of similarity between the input image and the reference image by an arithmetic operation that varies, in a non-discrete manner, the degree of similarity in accordance with a non-discrete variation of a first parameter. The correspondence calculator calculates correspondence between a pixel of the input image and a pixel of the reference image by an arithmetic operation that varies, in a non-discrete manner, the correspondence in accordance with a non-discrete variation of a second parameter. The location calculator calculates a first location indicating a position and/or an orientation of the first imaging device when the input image is captured by an arithmetic operation that varies, in a non-discrete manner, the first location in accordance with a non-discrete variation of the correspondence.

    COMPUTATIONAL DEVICE, COMPUTATIONAL METHOD, AND COMPUTER PROGRAM PRODUCT

    公开(公告)号:US20170091613A1

    公开(公告)日:2017-03-30

    申请号:US15260210

    申请日:2016-09-08

    CPC classification number: G06N3/02 G06N5/04

    Abstract: According to an embodiment, a computational device includes a memory and a processor. The processor receives an input of tensor data. The processor locates a first area on the tensor data. The processor maps the coordinates within the first area on the tensor data and to acquire a second area including corresponding coordinates which the coordinates within the first area on the tensor data are mapped to. The processor calculates a higher-order statistic between the first area and the second area. The processor outputs the higher-order statistic.

    INFORMATION PROCESSING APPARATUS, DETECTION SYSTEM, AND INFORMATION PROCESSING METHOD

    公开(公告)号:US20180082129A1

    公开(公告)日:2018-03-22

    申请号:US15445666

    申请日:2017-02-28

    CPC classification number: G06K9/00771 G06T7/60 G06T7/73

    Abstract: According to an embodiment, an information processing apparatus includes a memory and processing circuitry. The processing circuitry configured to acquire a captured image of an object on a first plane. The processing circuitry configured to detect a position and a size of the object in the captured image. The processing circuitry configured to determine, based on the position and the size of the object in the captured image, a mapping relation representing a relation between the position of the object in the captured image and a position of the object in a virtual plane that is the first plane when viewed from a predetermined direction. The processing circuitry configured to convert the position of the object in the captured image into the position of the object on the virtual plane, based on the mapping relation.

    IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, COMPUTER PROGRAM PRODUCT, AND IMAGE PROCESSING SYSTEM
    10.
    发明申请
    IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, COMPUTER PROGRAM PRODUCT, AND IMAGE PROCESSING SYSTEM 审中-公开
    图像处理装置,图像处理方法,计算机程序产品和图像处理系统

    公开(公告)号:US20160284098A1

    公开(公告)日:2016-09-29

    申请号:US15075309

    申请日:2016-03-21

    CPC classification number: H04N5/247 G06T7/292 G06T7/41

    Abstract: According to an embodiment, an image processing device includes an image acquirer, a tracker, an extractor, a feature amount acquirer, and an association controller. The image acquirer is configured to acquire a time series of images from each imaging device. The tracker is configured to track a position of an object in the time series of images. The extractor is configured to extract, from the time series of images, an observed value corresponding to a feature value in each of regions into which the time series of images is divided depending on a distance from the imaging device. The feature amount acquirer is configured to acquire a feature amount based on a deviation value of the observed value in a feature value distribution for the region. The association controller is configured to associate the tracked objects among multiple time series of images acquired from the imaging devices by using the feature amount.

    Abstract translation: 根据实施例,图像处理装置包括图像获取器,跟踪器,提取器,特征量获取器和关联控制器。 图像获取器被配置为从每个成像装置获取时间序列的图像。 跟踪器被配置为在图像的时间序列中跟踪对象的位置。 提取器被配置为从图像的时间序列中提取与根据距离成像装置的距离来分割图像的时间序列的每个区域中的特征值相对应的观察值。 特征量获取器被配置为基于该区域的特征值分布中的观测值的偏差值来获取特征量。 关联控制器被配置为通过使用特征量将从成像装置获取的多个时间序列的图像中的跟踪对象相关联。

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