Method, imaging system (5), data processing device (60) and system (10) for determination of a 3D information (90), especially of a point cloud (80) or of a 3D surface reconstruction (81) or of a 3D object (82), of an inner part (55) of a metallurgical vessel (50) or of a modification, the method comprising the steps of providing (100) a metallurgical vessel (50); capturing (110) a first optical image (21) of at least one first inner part (51) of the metallurgical vessel (50), from a first imaging device position (22) outside of the metallurgical vessel (50), with a first optical axis (23), by a first imaging device (20); capturing (120) a second optical image (31) of at least one second inner part (52) of the metallurgical vessel (50), from a second imaging device position (32) outside of the metallurgical vessel (50), with a second optical axis (33), by a second imaging device (30); calculating (130) a 3D information (90), such as a point cloud (80) or a 3D surface reconstruction (81) or a 3D object (82), of at least one inner part (55) of the metallurgical vessel (50) from at least the first optical image (21) and the second optical image (31), whereas the first optical image (21) is captured from a first fixed imaging device position (22) with a first fixed optical axis (23) and whereas the second optical image (31) is captured from a second fixed imaging device position (32) with a second fixed optical axis (33).

Method, imaging system (5), data processing device (60) and system (10) for determination of a 3D information (90), especially of a point cloud (80) or of a 3D surface reconstruction (81) or of a 3D object (82), of an inner part (55) of a metallurgical vessel (50) or of a modification, the method comprising the steps of providing (100) a metallurgical vessel (50); capturing (110) a first optical image (21) of at least one first inner part (51) of the metallurgical vessel (50), from a first imaging device position (22) outside of the metallurgical vessel (50), with a first optical axis (23), by a first imaging device (20); capturing (120) a second optical image (31) of at least one second inner part (52) of the metallurgical vessel (50), from a second imaging device position (32) outside of the metallurgical vessel (50), with a second optical axis (33), by a second imaging device (30); calculating (130) a 3D information (90), such as a point cloud (80) or a 3D surface reconstruction (81) or a 3D object (82), of at least one inner part (55) of the metallurgical vessel (50) from at least the first optical image (21) and the second optical image (31), whereas the first optical image (21) is captured from a first fixed imaging device position (22) with a first fixed optical axis (23) and whereas the second optical image (31) is captured from a second fixed imaging device position (32) with a second fixed optical axis (33).

A method and system for mapping boundary detecting features of at least one source triangulated mesh of known topology to a target triangulated mesh of arbitrary topology. A region of interest in a volumetric image associated with each triangle of the target triangulated mesh is provided to a feature mapping network. The feature mapping network assigns a feature selection vector to each triangle of the target triangulated mesh. The associated region of interest and assigned feature selection vector for each triangle of the target triangulated mesh are provided to a boundary detection network. A predicted boundary based on features of the associated region of interest selected by the assigned feature selection vector is obtained from the boundary detection network.

This application relates to a method for controlling a virtual character performed by a computer device, the method including: displaying at least a portion of a target virtual character in a virtual scene, the target virtual character being bound with basic bones and deformed bones; triggering the character action of the target virtual character in the virtual scene; when the character action comprises a character movement, controlling the target virtual character to implement the character movement in the virtual scene through a movement of a basic bone associated with the character movement; and when the character action comprises a local character deformation, controlling the target virtual character to implement the local character deformation in the virtual scene through a deformation of a deformed bone associated with the local character deformation.

This application relates to a method for controlling a virtual character performed by a computer device, the method including: displaying at least a portion of a target virtual character in a virtual scene, the target virtual character being bound with basic bones and deformed bones; triggering the character action of the target virtual character in the virtual scene; when the character action comprises a character movement, controlling the target virtual character to implement the character movement in the virtual scene through a movement of a basic bone associated with the character movement; and when the character action comprises a local character deformation, controlling the target virtual character to implement the local character deformation in the virtual scene through a deformation of a deformed bone associated with the local character deformation.

Methods of and systems for characterization of a 3D point cloud are disclosed. The method comprises accessing a 3D point cloud, the 3D point cloud being a set of data points representative of the object, determining, based on the 3D point cloud, a 3D reconstructed object, determining, based on the 3D reconstructed object, a digital framework of the 3D point cloud, the digital framework being a ramified 3D tree structure, the digital framework being representative of a base structure of the object, morphing a 3D reference model of the object onto the 3D reconstructed object, the morphing being based on the digital framework; and determining, based on the morphed 3D reference model and the 3D reconstructed object, characteristics of the object.

Methods of and systems for characterization of a 3D point cloud are disclosed. The method comprises accessing a 3D point cloud, the 3D point cloud being a set of data points representative of the object, determining, based on the 3D point cloud, a 3D reconstructed object, determining, based on the 3D reconstructed object, a digital framework of the 3D point cloud, the digital framework being a ramified 3D tree structure, the digital framework being representative of a base structure of the object, morphing a 3D reference model of the object onto the 3D reconstructed object, the morphing being based on the digital framework; and determining, based on the morphed 3D reference model and the 3D reconstructed object, characteristics of the object.

A method comprising: providing a 3D representation of at least one object as an input for an encoder (500); projecting the 3D representation onto at least one 2D patch (502); generating at least a geometry image and a texture image from the 2D patch (504); generating, based on the geometry image, a mesh comprising a number of vertices (506); mapping the number of vertices to two- dimensional (2D) coordinates of the texture image (508); and signalling said 2D coordinates of the texture image to be applied to the number of vertices of the mesh in or along a bitstream (510).

A method comprising: providing a 3D representation of at least one object as an input for an encoder (500); projecting the 3D representation onto at least one 2D patch (502); generating at least a geometry image and a texture image from the 2D patch (504); generating, based on the geometry image, a mesh comprising a number of vertices (506); mapping the number of vertices to two- dimensional (2D) coordinates of the texture image (508); and signalling said 2D coordinates of the texture image to be applied to the number of vertices of the mesh in or along a bitstream (510).

Examples of methods for determining displacement maps are described herein. In some examples of the methods, a method includes determining a displacement map for a three-dimensional (3D) object model based on a compensated point cloud. In some examples, the method includes assembling the displacement map on the 3D object model for 3D manufacturing.