Method for generating a three-dimensional working surface of a human body, system
AssigneeSquaremind
InventorsTanguy Serrat, Ali Khachlouf
Life of this patent
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Abstract
A method for generating a three-dimensional working surface of a human body, includes receiving input data corresponding to geometric data; generating a first point cloud from the input data; generating partial views of parameterised body models corresponding to a parametric body model parameterised with different parameterisation configurations, wherein the parametric body model models the human body in which a set of articulations are predefined; calculating a set of geometric parameters, and determining another parameterised model from the set of geometric parameters to generate the human body model of the human body including a first meshing.
Claims16
A method for generating a three-dimensional working surface of a human body, the method comprising:
- receiving input data corresponding to geometric data;
- generating a first point cloud of points from the input data, each point being associated with a three-dimensional spatial coordinate;
- generating partial views of parameterised body models corresponding to a parametric body model parameterised with different parameterisation configurations, each one of the parameterised body models being represented by a point cloud so that the parameterised body models are represented by point clouds;
- wherein the parametric body model models the human body in which a set of articulations are predefined, each parameterisation configuration of the different parameterisation configurations being defined by a set of modelling parameters comprising at least one first angle of rotation of each articulation of the set of articulations and at least one first shape coefficient;
- calculating a set of geometric parameters comprising at least one rotation at at least one point of the first point cloud or at at least one articulation of a human body model and at least one shape coefficient by a regression, said regression being carried out from the first point cloud and from a series of matrix operations performed according to different layers of a neural network trained from the partial views, wherein entry parameters of the neural network comprise three dimensional spatial coordinates, and
- determining another parameterised model from the set of geometric parameters to generate a body model of the human body comprising a first meshing,
- wherein each partial view of the plurality of partial views is generated from a subset of points of one of the point clouds.
Dependencies are inferred from the claim text.