arrow
Return

Diffusion-based non-uniform regularization for variational shape deformation

delete2016-12-01
delete1
delete
OA
AI
朱利丰 (Lifeng Zhu) *
李潍 (Wei Li)
X
Xiaorui Zhang
A
Aiguo Song
DOI:10.1016/j.cad.2016.09.004delete
deleteOriginal
deleteShare
deleteSave
View PDF
Abstract

Abstract

En 中文
Regularization is a typical technique to correct the discontinuity artifacts at the control points in shape deformation. A regularizer with higher weights is required if the deformation is large, which will unfortunately distort the entire shape. In this work, we present a non-uniform regularization technique based on a shape-aware scalar field obtained from diffusion, which allows user to control the magnitude and range of the regularizer around specific control points. Experimental results show that shapes are deformed smoothly and no over-regularized artifact is observed with our non-uniform regularizer. (C) 2016 Elsevier Ltd. All rights reserved.
Keywords:
Regularization
Variational deformation
Diffusion
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

C
Computer-Aided Design
IF:
3.1
Papers:
3.1K
Citations:
6.4K

Organization

S
southeast university - china
Scholars:
5.3W
Papers: 4.9W
Citations: 57