Plane Equation Features in Depth Sensor Tracking

Mika Taskinen, Tero Säntti, Teijo Lehtonen

2017

Abstract

The emergence of depth sensors has made it possible to track not only monocular cues but also the actual depth values of the environment. This is especially useful in augmented reality solutions, where the position and orientation (pose) of the observer need to be accurately determined. Depth sensors have usually been used in augmented reality as mesh builders and in some cases as feature extractors for tracking. These methods are usually extensive and designed to operate by itself or in cooperation with other methods. We propose a systematic light-weight algorithm to supplement other mechanisms and we test it against a random algorithm and ground truth.

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Paper Citation


in Harvard Style

Taskinen M., Säntti T. and Lehtonen T. (2017). Plane Equation Features in Depth Sensor Tracking . In Proceedings of the 14th International Joint Conference on e-Business and Telecommunications - Volume 1: SIGMAP, (ICETE 2017) ISBN 978-989-758-260-8, pages 17-24. DOI: 10.5220/0006425700170024


in Bibtex Style

@conference{sigmap17,
author={Mika Taskinen and Tero Säntti and Teijo Lehtonen},
title={Plane Equation Features in Depth Sensor Tracking},
booktitle={Proceedings of the 14th International Joint Conference on e-Business and Telecommunications - Volume 1: SIGMAP, (ICETE 2017)},
year={2017},
pages={17-24},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006425700170024},
isbn={978-989-758-260-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 14th International Joint Conference on e-Business and Telecommunications - Volume 1: SIGMAP, (ICETE 2017)
TI - Plane Equation Features in Depth Sensor Tracking
SN - 978-989-758-260-8
AU - Taskinen M.
AU - Säntti T.
AU - Lehtonen T.
PY - 2017
SP - 17
EP - 24
DO - 10.5220/0006425700170024