BOOK-CHAPTER

Novel Coplanar Line-Points Invariants for Robust Line Matching Across Views

Qi JiaXinkai GaoXin FanZhongxuan LuoHaojie LiZiyao Chen

Year: 2016 Lecture notes in computer science Pages: 599-611   Publisher: Springer Science+Business Media
Keywords:
Invariant (physics) Computer science Artificial intelligence Robustness (evolution) Computer vision Rendering (computer graphics) Homography Scale-invariant feature transform Matching (statistics) Pattern recognition (psychology) Algorithm Projective test Mathematics Feature extraction Projective space Pure mathematics

Metrics

45
Cited By
2.27
FWCI (Field Weighted Citation Impact)
18
Refs
0.94
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Image and Video Retrieval Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Robotics and Sensor-Based Localization
Physical Sciences →  Engineering →  Aerospace Engineering
Advanced Vision and Imaging
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

Related Documents

JOURNAL ARTICLE

Robust line matching through line–point invariants

Bin FanFuchao WuZhanyi Hu

Journal:   Pattern Recognition Year: 2011 Vol: 45 (2)Pages: 794-805
JOURNAL ARTICLE

Robust line segment matching across views via ranking the line-point graph

Wei DongYongjun ZhangXinyi LiuChang LiZhuofan Li

Journal:   ISPRS Journal of Photogrammetry and Remote Sensing Year: 2020 Vol: 171 Pages: 49-62
JOURNAL ARTICLE

Automatic line matching across views

C. SchmidAndrew Zisserman

Year: 2002 Pages: 666-671
© 2026 ScienceGate Book Chapters — All rights reserved.