Variational methods for geometry processing

Inspired by the success of variational techniques in various applications such as image processing and recent advance in sparse norm minimization, this research explores a class of variational methods with sparse norm for digital geometry processing which has to deal with noisy data...

Full description

Bibliographic Details
Main Author: Wu, Xiaoqun
Other Authors: Zheng Jianmin
Format: Thesis
Language:English
Published: 2014
Subjects:
Online Access:https://hdl.handle.net/10356/61854