IMAGE PROCESSING DEVICE AND MARKERS
    2.
    发明申请
    IMAGE PROCESSING DEVICE AND MARKERS 审中-公开
    图像处理设备和标记

    公开(公告)号:US20160203606A1

    公开(公告)日:2016-07-14

    申请号:US14911002

    申请日:2014-05-19

    Abstract: An image processing device (10) comprises the following: an image acquisition unit (1) for acquiring an image in which markers for calibration are captured; an edge detection unit (2) for detecting the edges of the markers in the image; a polygon generating unit (3) for estimating a plurality of straight lines on the basis of the edges and generating a virtual polygon region that is surrounded by the plurality of straight lines, the generation being carried out in the image in a region thereof including regions other than those where markers are installed; and a camera parameter calculation unit (4) for calculating camera parameters on the basis of the characteristic amount, with respect to the image, of the virtual polygon region and the characteristic amount, with respect to real space, of the virtual polygon region.

    Abstract translation: 图像处理装置(10)包括:图像获取单元(1),用于获取其中捕获用于校准的标记的图像; 边缘检测单元(2),用于检测图像中的标记的边缘; 多边形生成单元,用于基于所述边缘估计多条直线,并生成被所述多条直线围绕的虚拟多边形区域,所述生成在包括区域的区域中的图像中进行 除了安装标记的那些; 以及相机参数计算单元(4),用于根据虚拟多边形区域的虚拟多边形区域的特征量和虚拟多边形区域的实际空间的特征量来计算相机参数。

    ESTIMATION APPARATUS AND ESTIMATION METHOD
    3.
    发明公开

    公开(公告)号:US20230206657A1

    公开(公告)日:2023-06-29

    申请号:US17987210

    申请日:2022-11-15

    CPC classification number: G06V20/597 G06V20/58 G06V40/174 G06V10/776 G06V40/20

    Abstract: An estimation apparatus includes: an image information obtainer that obtains image information of a captured image of a driver; a first detector that detects face information indicating facial behavior of the driver, based on the image information; a first reliability calculator that calculates first reliability; a second detector that detects body information indicating body movement of the driver, based on the image information; a second reliability calculator that calculates second reliability; a weight setter that, when the face information and the body information are detected, sets a first weight corresponding to the face information and a second weight corresponding to the body information based on the first reliability and the second reliability; and an estimator that estimates drowsiness of the driver based on the face information weighted by the first weight and the body information weighted by the second weight.

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