Imperial College London
Alternate

ProfessorAndrewDavison

Faculty of Engineering, Department of Computing

Professor of Robot Vision
 
 
 
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Contact

 

+44 (0)20 7594 8316a.davison Website

 
 
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Assistant

 

Ms Lucy Atthis +44 (0)20 7594 8259

 
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Location

 

303William Penney LaboratorySouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inproceedings{Platinsky:2017:10.1109/ICRA.2017.7989599,
author = {Platinsky, L and Davison, AJ and Leutenegger, S},
doi = {10.1109/ICRA.2017.7989599},
pages = {5126--5133},
publisher = {IEEE},
title = {Monocular visual odometry: sparse joint optimisation or dense alternation?},
url = {http://dx.doi.org/10.1109/ICRA.2017.7989599},
year = {2017}
}
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RIS format (EndNote, RefMan)

TY  - CPAPER
AB  - Real-time monocular SLAM is increasingly mature and entering commercial products. However, there is a divide between two techniques providing similar performance. Despite the rise of `dense' and `semi-dense' methods which use large proportions of the pixels in a video stream to estimate motion and structure via alternating estimation, they have not eradicated feature-based methods which use a significantly smaller amount of image information from keypoints and retain a more rigorous joint estimation framework. Dense methods provide more complete scene information, but in this paper we focus on how the amount of information and different optimisation methods affect the accuracy of local motion estimation (monocular visual odometry). This topic becomes particularly relevant after the recent results from a direct sparse system. We propose a new method for fairly comparing the accuracy of SLAM frontends in a common setting. We suggest computational cost models for an overall comparison which indicates that there is relative parity between the approaches at the settings allowed by current serial processors when evaluated under equal conditions.
AU  - Platinsky,L
AU  - Davison,AJ
AU  - Leutenegger,S
DO  - 10.1109/ICRA.2017.7989599
EP  - 5133
PB  - IEEE
PY  - 2017///
SP  - 5126
TI  - Monocular visual odometry: sparse joint optimisation or dense alternation?
UR  - http://dx.doi.org/10.1109/ICRA.2017.7989599
UR  - http://hdl.handle.net/10044/1/46217
ER  -
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