TY - GEN
T1 - A Balanced Surface Parameterization Method and Its Application to Spline Fitting
AU - Zheng, Xiaopeng
AU - Lei, Na
AU - Yu, Xiaokang
AU - Chen, Wei
AU - Song, Mengci
AU - Gu, Xianfeng
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2017/9/15
Y1 - 2017/9/15
N2 - Surface parameterization refers to the process of mapping a surface into a canonical domain. The goal of parameterization is to minimize geometric distortions, which can be classified as angle and area distortions. Unfortunately, in general it is impossible to achieve both angle-preserving and area-preserving parameterization. This work proposes a novel balanced parameterization method which could produce results with good balancing between the two distortions. This method is rigorous in theory and moderate in computation. Surface parameterization is a fundamental step of spline fitting. This work in further studies the spline fitting results which are respectively based on angle-preserving, area-preserving and different balanced parameterization. The experiment shows that by using balanced parameterization one could improve the spline fitting quality, and demonstrates the efficiency and efficacy of the proposed method.
AB - Surface parameterization refers to the process of mapping a surface into a canonical domain. The goal of parameterization is to minimize geometric distortions, which can be classified as angle and area distortions. Unfortunately, in general it is impossible to achieve both angle-preserving and area-preserving parameterization. This work proposes a novel balanced parameterization method which could produce results with good balancing between the two distortions. This method is rigorous in theory and moderate in computation. Surface parameterization is a fundamental step of spline fitting. This work in further studies the spline fitting results which are respectively based on angle-preserving, area-preserving and different balanced parameterization. The experiment shows that by using balanced parameterization one could improve the spline fitting quality, and demonstrates the efficiency and efficacy of the proposed method.
UR - https://www.scopus.com/pages/publications/85032368506
U2 - 10.1109/ICDH.2016.062
DO - 10.1109/ICDH.2016.062
M3 - Conference contribution
AN - SCOPUS:85032368506
T3 - Proceedings - 2016 International Conference on Digital Home, ICDH 2016
SP - 272
EP - 277
BT - Proceedings - 2016 International Conference on Digital Home, ICDH 2016
A2 - Luo, Zhong-Xuan
A2 - Yin, Baocai
A2 - Wang, Ruomei
A2 - Tan, Jie-Qing
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th International Conference on Digital Home, ICDH 2016
Y2 - 2 December 2016 through 4 December 2016
ER -