Abstract: A computer-implemented method (100) for generating a 3-dimensional wireframe model (13) of an object (2) comprising a plurality of parts, comprising: Scanning (10) the object (2), preferably with a computer tomography method (10a), so as to generate a voxel map; —Computing (12) a 3 dimensional wireframe model (13) of the object; —Segmenting (14) into a plurality of 3 dimensional wireframe part models (15), each 3 dimensional part model corresponding to one part of the object; Using a self-learning machine for classifying (16) said parts into part classes (17); —Adapting (18) the quality of the 3 dimensional wireframe part models depending on at least one quality parameter selected by the user (70) independently for at least one/one or more class (c1, c2, . . . cn). A texture may be applied to the model by photogrammetry and/or PBR.

Abstract: A computer-implemented method (100) for generating a 3-dimensional wireframe model (13) of an object (2) comprising a plurality of parts, comprising: Scanning (10) the object (2), preferably with a computer tomography method (10a), so as to generate a voxel map; Computing (12) a 3 dimensional wireframe model (13) of the object; Segmenting (14) into a plurality of 3 dimensional wireframe part models (15), each 3 dimensional part model corresponding to one part of the object; Using a self-learning machine for classifying (16) said parts into part classes (17); Adapting (18) the quality of the 3 dimensional wireframe part models depending on at least one quality parameter selected by the user (70) independently for at least one/one or more class (c1, c2, . . . cn). A texture may be applied to the model by photogrammetry and/or PBR.