公开(公告)号：US20180189957A1

公开(公告)日：2018-07-05

申请号：US15857821

申请日：2017-12-29

申请人： DASSAULT SYSTEMES

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

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

摘要： 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.

公开(公告)号：US20240273255A1

公开(公告)日：2024-08-15

申请号：US18439448

申请日：2024-02-12

申请人： DASSAULT SYSTEMES

发明人： François COCHEVELOU ,  David BONNER ,  Martin-Pierre Hugo SCHMIDT

IPC分类号： G06F30/20 ,  G06F30/17 ,  G06F119/18

CPC分类号： G06F30/20 ,  G06F30/17 ,  G06F2119/18

摘要： A computer-implemented method for designing a 3D robot body model representing a robot body formed in one or more materials. The method comprises obtaining an objective function based on predetermined parameters quantifying a motion metric of the robot. The predetermined parameters include a plurality of voxels forming a gridding of a 3D space, one or more parameters related to the one or more materials, and an actuation function which represents an actuation signal. The design variables include a distribution of density values over the plurality of voxels, and a distribution of actuation coefficients over the plurality voxels. The method further comprises exploring the design variables so as to perform a gradient-based optimization of the objective function, thereby obtaining an optimal continuous value of the design variables, and determining a 3D robot body model based on the optimal continuous value of the design variables.