Abstract: A method for generating a moving volumetric image of a moving object from data recorded by a user-held device comprising: acquiring, from the user-held device, video and depth data of the moving object, and pose data; and communicating the acquired data to a computing module. Then, processing the video data to extract images that are segmented to form segmented images; passing the segmented images, depth data and pose data through a processing module to form a sequence of volumetric meshes defining the outer surface of the moving object; rendering the sequence of volumetric meshes with a visual effect at least partly determined from the video data to form a rendered moving volumetric image; and communicating the rendered moving volumetric image to at least one device including the user-held device. Then, displaying, at a display of the at least one device, the rendered moving volumetric image.

Abstract: A method for generating a moving volumetric image of a moving object from data recorded by a user-held device comprising: acquiring, from the user-held device, video and depth data of the moving object, and pose data; and communicating the acquired data to a computing module. Then, processing the video data to extract images that are segmented to form segmented images; passing the segmented images, depth data and pose data through a processing module to form a sequence of volumetric meshes defining the outer surface of the moving object; rendering the sequence of volumetric meshes with a visual effect at least partly determined from the video data to form a rendered moving volumetric image; and communicating the rendered moving volumetric image to at least one device including the user-held device. Then, displaying, at a display of the at least one device, the rendered moving volumetric image.

Abstract: The method comprising providing a plurality of images of a scene captured by a plurality of image capturing devices (101); providing silhouette information of at least one object in the scene (102); generating a point cloud for the scene in 3D space using the plurality of images (103); extracting an object point cloud from the generated point cloud, the object point cloud being a point cloud associated with the at least one object in the scene (104); estimating a 3D shape volume of the at least one object from the silhouette information (105); and combining the object point cloud and the shape volume of the at least one object to generate a three-dimensional model (106). An apparatus for generating a 3D model, and a computer readable medium for generating the 3D model.

Abstract: The method comprising providing a plurality of images of a scene captured by a plurality of image capturing devices (101); providing silhouette information of at least one object in the scene (102); generating a point cloud for the scene in 3D space using the plurality of images (103); extracting an object point cloud from the generated point cloud, the object point cloud being a point cloud associated with the at least one object in the scene (104); estimating a 3D shape volume of the at least one object from the silhouette information (105); and combining the object point cloud and the shape volume of the at least one object to generate a three-dimensional model (106). An apparatus for generating a 3D model, and a computer readable medium for generating the 3D model.

Abstract: A method for generating a realistic 3D reconstruction model for an object or being, comprising: a) capturing a sequence of images of an object or being from a plurality of surrounding cameras; b) generating a mesh of said an object or being from said sequence of images captured; c) creating a texture atlas using the information obtained from said sequence of images captured of said object or being; d) deforming said generated mesh according to higher accuracy meshes of critical areas;and e) rigging said mesh using an articulated skeleton model and assigning bone weights to a plurality of vertices of said skeleton model; the method comprises generating said 3D reconstruction model as an articulation model further using semantic information enabling animation in a fully automatic framework. The system is arranged to implement the method of the invention.