Pose Space Surface Manipulation

Abstract EN

Example-based mesh deformation techniques produce natural and realistic shapes by learning the space of deformations from examples.

However, skeleton-based methods cannot manipulate a global mesh structure naturally, whereas the mesh-based approaches based on a translational control do not allow the user to edit a local mesh structure intuitively.

This paper presents an example-driven mesh editing framework that achieves both global and local pose manipulations.

The proposed system is built with a surface deformation method based on a two-step linear optimization technique and achieves direct manipulations of a model surface using translational and rotational controls.

With the translational control, the user can create a model in natural poses easily.

The rotational control can adjust the local pose intuitively by bending and twisting.

We encode example deformations with a rotation-invariant mesh representation which handles large rotations in examples.

To incorporate example deformations, we infer a pose from the handle translations/rotations and perform pose space interpolation, thereby avoiding involved nonlinear optimization.

With the two-step linear approach combined with the proposed multiresolution deformation method, we can edit models at interactive rates without losing important deformation effects such as muscle bulging.