King's College London

Research portal

Huber- L1 -based non-isometric surface registration

Research output: Contribution to journalArticle

Tao Jiang, Xiaosong Yang, Jianjun Zhang, Feng Tian, Shuang Liu, Nan Xiang, Kun Qian

Original languageEnglish
Pages (from-to)935-948
Number of pages14
JournalVISUAL COMPUTER
Volume35
Issue number6-8
DOIs
Publication statusPublished - 1 Jun 2019

King's Authors

Abstract

Non-isometric surface registration is an important task in computer graphics and computer vision. It, however, remains challenging to deal with noise from scanned data and distortion from transformation. In this paper, we propose a Huber-L 1-based non-isometric surface registration and solve it by the alternating direction method of multipliers. With a Huber-L 1-regularized model constrained on the transformation variation and position difference, our method is robust to noise and produces piecewise smooth results while still preserving fine details on the target. The introduced as-similar-as-possible energy is able to handle different size of shapes with little stretching distortion. Extensive experimental results have demonstrated that our method is more accurate and robust to noise in comparison with the state-of-the-arts.

View graph of relations

© 2018 King's College London | Strand | London WC2R 2LS | England | United Kingdom | Tel +44 (0)20 7836 5454