公开(公告)号：US20220036563A1

公开(公告)日：2022-02-03

申请号：US17384299

申请日：2021-07-23

Applicant: DASSAULT SYSTEMES

Inventor： Nicolas BELTRAND ,  Mourad BOUFARGUINE ,  Vincent GUITTENY

IPC: G06T7/13 ,  G06T7/143 ,  G06T7/162 ,  G06T7/80 ,  G06T11/20 ,  G06N3/08

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.

公开(公告)号：US20210201587A1

公开(公告)日：2021-07-01

申请号：US17138259

申请日：2020-12-30

Applicant: DASSAULT SYSTEMES

Inventor： Eloi MEHR ,  Vincent GUITTENY

IPC: G06T19/00 ,  G06T7/73 ,  G06K9/62

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.

公开(公告)号：US20180189957A1

公开(公告)日：2018-07-05

申请号：US15857821

申请日：2017-12-29

Applicant: DASSAULT SYSTEMES

Inventor： Fernando SANCHEZ BERMUDEZ ,  Eloi MEHR ,  David BONNER ,  Vincent GUITTENY ,  Mourad BOUFARGUINE ,  Patrick JOHNSON

IPC: G06T7/143 ,  G06T7/174 ,  G06T7/00

Abstract: A computer-implemented method of computer vision in a scene that includes one or more transparent objects and/or one or more reflecting objects comprises obtaining a plurality of images of the scene, each image corresponding to a respective acquisition of a physical signal, the plurality of images including at least two images corresponding to different physical signals; and generating a segmented image of the scene based on the plurality of images. This improves the field of computer vision.