Multi-run 3D streetside reconstruction from a vehicle


by Y Zeng, R Klette
Abstract:
Accurate 3D modellers of real-world scenes are important tools for visualizing or understanding outside environments. The paper considers a camera-based 3D reconstruction system where stereo cameras are mounted on a mobile platform, recording images while moving through the scene. Due to the limited viewing angle of the cameras, resulting reconstructions often result in missing (e.g. while occluded) components of the scene. In this paper, we propose a stereo-based 3D reconstruction framework for merging multiple runs of reconstructions when driving in different directions through a real-world scene. © 2013 Springer-Verlag.
Reference:
Multi-run 3D streetside reconstruction from a vehicle (Y Zeng, R Klette), In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), volume 8047 LNCS, 2013.
Bibtex Entry:
@inproceedings{zeng2013multi-runvehicle,
author = "Zeng, Y and Klette, R",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "580--588",
title = "Multi-run 3D streetside reconstruction from a vehicle",
volume = "8047 LNCS",
year = "2013",
abstract = "Accurate 3D modellers of real-world scenes are important tools for visualizing or understanding outside environments. The paper considers a camera-based 3D reconstruction system where stereo cameras are mounted on a mobile platform, recording images while moving through the scene. Due to the limited viewing angle of the cameras, resulting reconstructions often result in missing (e.g. while occluded) components of the scene. In this paper, we propose a stereo-based 3D reconstruction framework for merging multiple runs of reconstructions when driving in different directions through a real-world scene. © 2013 Springer-Verlag.",
doi = "10.1007/978-3-642-40261-6_70",
isbn = "9783642402609",
issn = "0302-9743",
eissn = "1611-3349",
issue = "PART 1",
language = "eng",
}