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.

    METHOD AND SYSTEM FOR CLASSIFYING AN INPUT DATA SET WITHIN A DATA CATEGORY USING MULTIPLE DATA RECOGNITION TOOLS

    公开(公告)号:US20200302169A1

    公开(公告)日:2020-09-24

    申请号:US16791675

    申请日:2020-02-14

    Abstract: A computer-implemented method and system are disclosed for classifying an input data set within a data category using multiple data recognition tools. The method includes identifying at least a first attribute and a second attribute of the data category; classifying the at least first attribute via at least a first data recognition tool and the at least second attribute via at least a second data recognition tool, the classifying including: allocating a confidence factor for each of the at least first and second attributes that indicates a presence of each of the at least first and second attributes in the input data set; and combining outputs of the classifying into a single output confidence score by using a weighted fusion of the allocated confidence factors.

    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.

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