18369958. SHAPE SPACE GENERATION VIA PROGRESSIVE CORRESPONDENCE ESTIMATION (ADOBE INC.)

SHAPE SPACE GENERATION VIA PROGRESSIVE CORRESPONDENCE ESTIMATION

Organization Name

ADOBE INC.

Inventor(s)

Sanjeev Muralikrishnan of London GB

Chun-Hao Huang of London GB

Duygu Ceylan Aksit of London GB

Niloy J. Mitra of Potters Bar GB

SHAPE SPACE GENERATION VIA PROGRESSIVE CORRESPONDENCE ESTIMATION

This abstract first appeared for US patent application 18369958 titled 'SHAPE SPACE GENERATION VIA PROGRESSIVE CORRESPONDENCE ESTIMATION

Original Abstract Submitted

In some examples, a computing system access a set of registered three-dimensional (3D) digital shapes. The set of registered 3D digital shapes are registered to a shape template. The computing system determines a linear model for an estimate of the shape space using a first subset of the set of registered 3D digital shapes. The computing system then determines a nonlinear deformation model for the shape space using a second subset of the set of registered 3D digital shapes. An unregistered shape can be registered to the shape space using the linear model and the nonlinear deformation model. The registration can be added to the set of registered 3D digital shapes to update the estimate of the shape space if a shape distance between the registration and the unregistered shape is below a threshold value.