Depth sensor noise
    1.
    发明授权

    公开(公告)号:US10586309B2

    公开(公告)日:2020-03-10

    申请号:US15846328

    申请日:2017-12-19

    Abstract: Described is a computer-implemented method for learning a function configured for reconstructing, for a class of real objects, a 3D modeled object that represents an instance of the class from a depth map of the instance. The method comprises providing a parametric model of the class, creating a database, and learning the function with the database. The method improves the 3D reconstruction of a real object from a depth map.

    Reconstructing A 3D Modeled Object

    公开(公告)号:US20170193699A1

    公开(公告)日:2017-07-06

    申请号:US15391950

    申请日:2016-12-28

    Abstract: The invention notably relates to a computer-implemented method for reconstructing a 3D modeled object that represents a real object, from a 3D mesh and measured data representative of the real object, the method comprising providing a set of deformation modes; determining a composition of the deformation modes which optimizes a program that rewards fit between the 3D mesh as deformed by the composition and the measured data, and that further rewards sparsity of the deformation modes involved in the determined composition; and applying the composition to the 3D mesh. The method improves reconstructing a 3D modeled object that represents a real object.

    Method for segmenting an object in an image

    公开(公告)号:US12190524B2

    公开(公告)日:2025-01-07

    申请号:US17384299

    申请日:2021-07-23

    Abstract: A computer-implemented method for segmenting an object in at least one image acquired by a camera including computing an edge probabilities image based on the image, said edge probabilities image comprising, for each pixel of the image, the probability that said pixel is an edge, computing a segmentation probabilities image based on the image (IM), said segmentation probabilities image comprising, for each pixel of the image (IM), the probability that said pixel belongs to the object (OBJ), and computing a binary mask of the object based on the edge probabilities image and based on the segmentation probabilities image.

    Augmenting a video flux of a real scene

    公开(公告)号:US11631221B2

    公开(公告)日:2023-04-18

    申请号:US17138259

    申请日:2020-12-30

    Abstract: A computer-implemented method of augmented reality includes capturing the video flux with a video camera, extracting, from the video flux, one or more 2D images each representing the real object, and obtaining a 3D model representing the real object. The method also includes determining a pose of the 3D model relative to the video flux, among candidate poses. The determining rewards a mutual information, for at least one 2D image and for each given candidate pose, which represents a mutual dependence between a virtual 2D rendering and the at least one 2D image. The method also includes augmenting the video flux based on the pose. This forms an improved solution of augmented reality for augmenting a video flux of a real scene including a real object.

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