We present an efficient method to process different scale geometric features on a 3D mesh based on a novel rolling-guidance normal filter. Our method empirically smooths small-scale geometric features while preserving large-scale features. Its effectiveness and superiority are demonstrated on a series of geometry processing tasks.

Pengshuai Wang, Tsinghua University
Xiaoming Fu, University of Science and Technology of China
Yang Liu, Microsoft Research Asia
Xin Tong, Microsoft Research Asia
Shilin Liu, University of Science and Technology of China
Baining Guo, Microsoft Research Asia