Abstract: A computer-implemented method of smoothing a transition between two mesh sequences to be rendered successively comprises steps of: (a) providing first and second mesh sequences {1} and {2} formed mesh frames, respectively, to be fused into a fused sequence; (b) selecting mesh frames gn and gm being candidates for fusing therebetween; calculating geometric rigid and/or non-rigid transformations of candidate frames gn and gm belonging to said first and second mesh sequences {1} and {2}; applying calculated geometric rigid and/or non-rigid transformations to candidate frames gn and gm belonging to said first and second mesh sequences {1} and {2}; calculating textural transformations of said candidate frames gn and gm belonging to said first and second mesh sequences {1} and {2}; and applying calculated textural transformation to said candidate frames gn and gm belonging to said first and second mesh sequences {1} and {2}.

Abstract: A method for generating metadata to accompany a volumetric video for texels in an object in a volumetric video. The method comprises steps of: inputting a 2D representation of the object; identifying areas in the representation that have the same one or more properties with respect to light; and generating input material groups, where all texels in each input material group have the same properties with respect to light. There exists a correspondence between at least part of the input representation and at least part of the object in the volumetric video, so that there is a correspondence between texels in the representation and texels in the object so that output material groups can be generated from the input material groups and the properties with respect to light can be stored with the volumetric video as metadata.

Abstract: A method for generating one or more 3D models of at least one living object from at least one 2D image comprising the at least one living object. The one or more 3D models can be modified and enhanced. The resulting one or more 3D models can be transformed into at least one 2D display image; the point of view of the output 2D image(s) can be different from that of the input 2D image(s).

Abstract: A method and system for improving a three-dimensional (3D) representation of objects using semantic data. The method comprises receiving an input data generated in response to captured video in a filming area; setting at least one parameter for each region in the input data; and generating a 3D representation based in part on the at least one parameter and semantic data associated with the input data.

Abstract: A computer-implemented method of generating of a database for training a neural network configured for converting 2d images into 3d models comprising steps of: (a) obtaining 3d models; (b) rendering said 3d models in a 2d format from at least one view point; and (c) collecting pairs further comprising said rendered 2d image frame and said corresponding sampled 3d models each.

Abstract: A computer-implemented method of smoothing a transition between two mesh sequences to be rendered successively comprises steps of: (a) providing first and second mesh sequences {1} and {2} formed mesh frames, respectively, to be fused into a fused sequence; (b) selecting mesh frames gn and gm being candidates for fusing therebetween; calculating geometric rigid and/or non-rigid transformations of candidate frames gn and gm belonging to said first and second mesh sequences {1} and {2}; applying calculated geometric rigid and/or non-rigid transformations to candidate frames gn and gm belonging to said first and second mesh sequences {1} and {2}; calculating textural transformations of said candidate frames gn and gm belonging to said first and second mesh sequences {1} and {2}; and applying calculated textural transformation to said candidate frames gn and gm belonging to said first and second mesh sequences {1} and {2}.

Abstract: A method and system for improving a three-dimensional (3D) representation of objects using semantic data. The method comprises receiving an input data generated in response to captured video in a filming area; setting at least one parameter for each region in the input data; and generating a 3D representation based in part on the at least one parameter and semantic data associated with the input data.