Adaptive sampling for mesh spectrum editing

INTRODUCTION Free-form surface editing plays an importan part in geometric modeling, such as Free-Form De- formation (FFD), level of detail editing. Users need to be careful to avoid artifacts in the result surface. In this paper, we present a new mesh editing technique based on geometry signal wavelet analysis. It indi- rectly modifies vertex positions in spatial domain by the simple geometry proxy that is simplified from the original mesh, and performs filtering and enhance- ment in f…

Adaptive sampling for mesh spectrum editing

A mesh editing framework is presented in this paper, which integrates Free-Form Deformation (FFD) and geometry signal processing. By using simplified model from original mesh, the editing task can be accomplished with a few operations. We take the deformation of the proxy and the position coordinates of the mesh models as geometry signal. Wavelet analysis is em- ployed to separate local detail information gracefully. The crucial innovation of this paper is a new adaptive regular sampling approach for our signal analysis based editing framework. In our approach, an original mesh is resampled and then refined itera- tively which reflects optimization of our proposed spectrum preserving energy. As an extension of our spectrum editing scheme, the editing principle is applied to geometry details transferring, which brings satisfying results.