Color recognition through learned color clusters

    公开(公告)号:US10423855B2

    公开(公告)日:2019-09-24

    申请号:US15454913

    申请日:2017-03-09

    Abstract: In some examples, a system includes a color cluster learning engine and a color recognition engine. The color cluster learning engine may be configured to obtain a set of training images, process the training images to obtain clusters of pixel colors for the training images, identify learned color clusters from the clusters of pixel colors obtained from the training images, and label the learned color clusters with color indicators. The color recognition engine may be configured to receive an input image for color identification, process the input image to obtain a particular cluster of pixel colors that covers the highest number of pixels in the input image, match the particular cluster to a particular learned color cluster labeled with a particular color indicator, and identify a color of the input image as specified by the particular color indicator.

    COLOR RECOGNITION THROUGH LEARNED COLOR CLUSTERS

    公开(公告)号:US20180260974A1

    公开(公告)日:2018-09-13

    申请号:US15454913

    申请日:2017-03-09

    Abstract: In some examples, a system includes a color cluster learning engine and a color recognition engine. The color cluster learning engine may be configured to obtain a set of training images, process the training images to obtain clusters of pixel colors for the training images, identify learned color clusters from the clusters of pixel colors obtained from the training images, and label the learned color clusters with color indicators. The color recognition engine may be configured to receive an input image for color identification, process the input image to obtain a particular cluster of pixel colors that covers the highest number of pixels in the input image, match the particular cluster to a particular learned color cluster labeled with a particular color indicator, and identify a color of the input image as specified by the particular color indicator.

    Detecting changes in 3D scenes
    3.
    发明授权

    公开(公告)号:US10235572B2

    公开(公告)日:2019-03-19

    申请号:US15270180

    申请日:2016-09-20

    Abstract: Examples disclosed herein relate to detecting change in a 3-dimensional (3D) view. The examples enable determining a first set of sparse local features from a first set of frames of an initial 3D scene; determining whether the initial 3D scene is different from a current 3D scene based on the first set of sparse local features; and providing information about any determined differences between the initial 3D scene and the current 3D scene.

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