Dassault Systemes

Dassault Systems

Mourad Boufarguine

Vincent Guitteny

Eloi Mehr

Fernando Manuel Sanchez Bermudez

David Leo Bonner

Guillaume Randon

Nicolas Beltrand

Patrick Johnson

David Bonner

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.

Method for segmenting an object in an image

The disclosure notably relates to a computer-implemented method for 3D reconstruction. The method comprises providing a 3D point cloud representing a real object. The method also comprises fitting the 3D point cloud with parametric surfaces. The method also comprises defining a partition of the parametric surfaces into oriented facets which respect intersections between the parametric surfaces. The method also comprises determining, among the oriented facets of the partition, a set of facets that represents a skin of the real object. The determining comprises minimizing an energy. The energy includes a data term and a constraint term. The data term increasingly penalizes discarding facets, as a level of fit between a discarded facet and the 3D point cloud increases. The constraint term penalizes formation of non-skin geometry by kept facets. Such a method provides an improved solution for 3D reconstruction.

Determining a set of facets that represents a skin of a real object

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.

Producing a segmented image of a scene

A method for calibrating a depth camera comprising the steps of:

Method for calibrating a depth camera

The invention notably relates to a computer-implemented method for designing a 3D modeled object representing a real object. The method comprises the steps of providing a 3D representation of the real object, identifying occurrences of a geometric feature at 3D positions of the 3D representation, providing at least one 2D view of the real object, identifying occurrences of a graphic feature at 2D positions of the 2D view, the geometric feature corresponding to the graphic feature, computing camera parameters that minimize a distance between a set of projections of the 3D positions on the 2D view and a set of 2D positions. This provides an improved solution for designing a 3D modeled object representing a real object.

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Velizy Villacoublay, France

Mourad Boufarguine