METHODS AND SYSTEMS FOR TRANSLATING FIDUCIAL POINTS IN MULTISPECTRAL IMAGERY

    公开(公告)号:US20210383147A1

    公开(公告)日:2021-12-09

    申请号:US16895846

    申请日:2020-06-08

    Abstract: A method and system for translating fiducial points in multispectral imagery includes capturing a first image of an object by a first imaging device in a first spectral domain, the first spectral domain being the visible spectrum; capturing a second image of the object by a second imaging device in the first spectral domain; capturing a third image of the object by a third imaging device in a second spectral domain, the second spectral domain being outside the visible spectrum; determining three-dimensional location information of one or more fiducial points of the object based on the first and second visible spectrum images; projecting the one or more fiducial points from the three-dimensional image of the object onto an two-dimensional image plane of the third image; and translating the location of the one or more fiducial points of the object from first and second visible spectrum images to the third image.

    METHOD AND SYSTEM FOR CLASSIFYING AN INPUT DATA SET USING MULTIPLE DATA REPRESENTATION SOURCE MODES

    公开(公告)号:US20200302157A1

    公开(公告)日:2020-09-24

    申请号:US16791740

    申请日:2020-02-14

    Abstract: A computer-implemented method for classifying an input data set within a data category using multiple data representation modes. The method includes identifying at least a first data representation source mode and a second data representation source mode; classifying the at least first data representation source mode via at least a first data recognition tool and the at least second data representation source mode via at least a second data recognition tool, the classifying including allocating a confidence factor for each data representation source mode in the data category; and combining outputs of the classifying into a single output confidence score by using a weighted fusion of the allocated confidence factors.

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