Shape space generation via progressive correspondence estimation

A system, comprising:

• a memory component;
• a processing device coupled to the memory component, the processing device to perform operations comprising:
• generating a linear model representing an estimate of a shape space using a first set of registered three-dimensional (3D) digital shapes registered to a shape template;
• determining a nonlinear deformation model for the shape space using a second set of registered 3D digital shapes registered to the shape template;
• creating an initial registration to the shape space for an unregistered shape using the linear model;
• predicting an updated registration based on the initial registration using the nonlinear deformation model;
• and
• in response to determining a shape distance between the updated registration and the unregistered shape being below a threshold value, adding the updated registration to the first set of registered 3D digital shapes to obtain an updated first set of registered 3D digital shapes.

A non-transitory computer-readable medium, storing executable instructions, which when executed by a processing device, cause the processing device to perform operations comprising:

• generating a linear model representing an estimate of a shape space using a first set of registered three-dimensional (3D) digital shapes registered to a shape template;
• determining a nonlinear deformation model for the shape space using a second set of registered 3D digital shapes registered to the shape template;
• creating an initial registration to the shape space for an unregistered shape using the linear model;
• predicting an updated registration based on the initial registration using the nonlinear deformation model;
• and
• in response to determining a shape distance between the updated registration and the unregistered shape being below a threshold value, adding the updated registration to the first set of registered 3D digital shapes to obtain an updated first set of registered 3D digital shapes.