Patent ID: 11922573
Assignee: DASSAULT SYSTEMES
Field: nan (nan)
Classification: CPC nan | IPC G

Claim 10:
11. A computer-implemented method of applying a data structure representing a neural network learnable according to a computer-implemented process for training a neural network, the method comprising:
obtaining a dataset including freehand drawings each representing a respective 3D shape;
training the neural network based on the dataset;
obtaining a freehand drawing representing a 3D shape;
applying the neural network to the freehand drawing; and
inferring a solid CAD feature representing the 3D shape based on a result of the applying,
wherein the neural network is configured for inference, from an input freehand drawing representing a given 3D shape, of a solid CAD feature representing the given 3D shape, the solid CAD feature including a respective sequence of curves and a sweep operation, and
wherein the input freehand drawing is an unparameterized 2D image data structure which comprises one or more strokes representing the given 3D shape from a respective view point, the neural network being configured to take as input a freehand drawing obtained by a user sketching strokes by activating a series of pixels, the freehand drawing being directly input to the neural network without transformation.