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:
• accessing a set of registered three-dimensional (3D) digital shapes, wherein the set of registered 3D digital shapes are registered to a shape template;
• determining a linear model for an estimate of a shape space using a first subset of the set of registered 3D digital shapes;
• determining a nonlinear deformation model for the shape space using a second subset of the set of registered 3D digital shapes;
• projecting an unregistered shape to the shape space by using the linear model to create an initial registration for the unregistered shape;
• predicting an updated registration based on the initial registration using the nonlinear deformation model;
• and
• adding the updated registration to the first subset of the set of registered 3D digital shapes based on a shape distance between the updated registration and the unregistered shape being below a threshold value to create an updated first subset of the set of registered 3D digital shapes for updating the estimate of the shape space to create an updated estimate of the shape space, wherein the updated estimate of the shape space is usable for editing a 3D digital shape in the shape space.

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

• accessing a set of registered three-dimensional (3D) digital shapes, wherein the set of registered 3D digital shapes are registered to a shape template;
• a step for determining a linear model for an estimate of a shape space using a first subset of the set of registered 3D digital shapes;
• a step for obtaining a nonlinear deformation model for the shape space using a second subset of the set of registered 3D digital shapes;
• projecting an unregistered shape to the shape space by using the linear model to create an initial registration for the unregistered shape;
• predicting an updated registration based on the initial registration using the nonlinear deformation model;
• and
• adding the updated registration to the set of registered 3D digital shapes based on a shape distance between the updated registration and the unregistered shape being below a threshold value for updating the estimate of the shape space to create an updated estimate of the shape space, wherein the updated estimate of the shape space is usable for editing a 3D digital shape.