18369958. SHAPE SPACE GENERATION VIA PROGRESSIVE CORRESPONDENCE ESTIMATION (ADOBE INC.)
Contents
SHAPE SPACE GENERATION VIA PROGRESSIVE CORRESPONDENCE ESTIMATION
Organization Name
Inventor(s)
Sanjeev Muralikrishnan 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.
