Grid-based Spatial Keypoint Selection for Real Time Visual Odometry

Volker Nannen, Gabriel Oliver

2013

Abstract

Robotic systems can achieve real-time visual odometry by extracting a fixed number of invariant keypoints from the current camera frame, matching them against keypoints from a previous frame, and calculating camera motion from matching pairs. If keypoints are selected by response only they can become concentrated in a small image region. This decreases the chance for keypoints to match between images and increases the chance for a degenerate set of matching keypoints. Here we present and evaluate a simple grid-based method that forces extracted keypoints to follow an even spatial distribution. The benefits of this approach depend on image quality. Real world trials with low quality images show that the method can extend the length of a correctly estimated path by an order of magnitude. In laboratory trials with images of higher quality we observe that the quality of motion estimates can degrade significantly, in particular if the number of extracted keypoints is low. This negative effect can be minimized by using a large number of grid cells.

Paper Citation

in Harvard Style

Nannen V. and Oliver G. (2013). Grid-based Spatial Keypoint Selection for Real Time Visual Odometry . In Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-8565-41-9, pages 586-589. DOI: 10.5220/0004270005860589

in Bibtex Style

@conference{icpram13,
author={Volker Nannen and Gabriel Oliver},
title={Grid-based Spatial Keypoint Selection for Real Time Visual Odometry},
booktitle={Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2013},
pages={586-589},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004270005860589},
isbn={978-989-8565-41-9},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Grid-based Spatial Keypoint Selection for Real Time Visual Odometry
SN - 978-989-8565-41-9
AU - Nannen V.
AU - Oliver G.
PY - 2013
SP - 586
EP - 589
DO - 10.5220/0004270005860589