Feature refinement strategy for extended marching cubes: Handling on dynamic nature of real-time sculpting application

Digital sculpting is a new trend for creating 3D models, but its application in the manipulation of volumetric data raises several issues that need to be addressed. With the extended marching cubes algorithm (EMC), sharp features of 3D models are well preserved. Additionally, the dynamic nature of modifying models in real time needs to be dealt with in sculpting applications: since the sampling of sharp features is implicit, direct modification on cell data will cause problems. A feature refinement strategy is proposed to preserve the dynamically modified model correct, and efficiently. Overall, the proposed methods provide an adaptive resolution and feature-preserved sculpting system that handles dynamic behavior in real-time performance.