TY - GEN
T1 - A graph matching based key point correspondence method for lunar surface images
AU - Zhang, Yuren
AU - Yang, Xu
AU - Qiao, Hong
AU - Liu, Zhiyong
AU - Liu, Chuankai
AU - Wang, Baofeng
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/9/27
Y1 - 2016/9/27
N2 - Key point correspondence plays an important role in lunar surface image processing. Since lunar surface images often contain obvious illumination changes, noisy points and repetitive patterns, traditional appearance based algorithms may fail when local appearance descriptors become less distinctive. In this paper, we introduce a graph matching based algorithm to tackle this problem. First, by incorporating structural information, key point sets in lunar surface images are represented by graphs. Then key point correspondence is formulated as a specific graph matching problem which aims to find a specified number of best assignments, and effectively approximately solved. Finally, an outlier assignment elimination method is proposed based on the affine invariance assumption. Simulations on both benchmark datasets and lunar surface images witness the effectiveness of the proposed method.
AB - Key point correspondence plays an important role in lunar surface image processing. Since lunar surface images often contain obvious illumination changes, noisy points and repetitive patterns, traditional appearance based algorithms may fail when local appearance descriptors become less distinctive. In this paper, we introduce a graph matching based algorithm to tackle this problem. First, by incorporating structural information, key point sets in lunar surface images are represented by graphs. Then key point correspondence is formulated as a specific graph matching problem which aims to find a specified number of best assignments, and effectively approximately solved. Finally, an outlier assignment elimination method is proposed based on the affine invariance assumption. Simulations on both benchmark datasets and lunar surface images witness the effectiveness of the proposed method.
UR - https://www.scopus.com/pages/publications/84991607769
U2 - 10.1109/WCICA.2016.7578355
DO - 10.1109/WCICA.2016.7578355
M3 - 会议稿件
AN - SCOPUS:84991607769
T3 - Proceedings of the World Congress on Intelligent Control and Automation (WCICA)
SP - 1825
EP - 1830
BT - Proceedings of the 2016 12th World Congress on Intelligent Control and Automation, WCICA 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 12th World Congress on Intelligent Control and Automation, WCICA 2016
Y2 - 12 June 2016 through 15 June 2016
ER -