Title :
A novel line matching method based on intersection context
Author :
Kim, Hyunwoo ; Lee, Sukhan
Author_Institution :
Dept. of New Media, Korean German Inst. of Technol., Seoul, South Korea
Abstract :
This paper presents a novel line matching method based on the intersection context of coplanar line pairs especially working in poorly textured indoor scenes. To overcome the matching ambiguity of single line segments, intersecting line pairs in 2D images are utilized for line matching. Coplanarity of the intersecting line pairs and their corresponding intersection context discriminate true intersecting line pairs from false intersecting ones in 3D world. Compared to previous approaches, the proposed method can match line segments and estimate camera geometry simultaneously not knowing camera geometry in advance or not considering topological relations of all line segments. Comparison studies and experimental results prove the accuracy and speed of the proposed method in real world situations.
Keywords :
image matching; camera geometry; coplanar line context; intersection context; line matching method; single line segments; topological relations; Cameras; Educational technology; Geometry; Image segmentation; Intelligent robots; Layout; Pattern matching; Photometry; Robotics and automation; USA Councils;
Conference_Titel :
Robotics and Automation (ICRA), 2010 IEEE International Conference on
Conference_Location :
Anchorage, AK
Print_ISBN :
978-1-4244-5038-1
Electronic_ISBN :
1050-4729
DOI :
10.1109/ROBOT.2010.5509472