Refereed article in conference proceedings (A4)

Plane equation features in depth sensor tracking




List of Authors: Mika Taskinen, Tero Säntti, Teijo Lehtonen

Conference name: International Joint Conference on e-Business and Telecommunications

Publisher: SciTePress

Place: Madrid, Spain

Publication year: 2017

Book title *: Proceedings of the 14th International Joint Conference on e-Business and Telecommunications (ICETE 2017)

Journal name in source: ICETE 2017 - Proceedings of the 14th International Joint Conference on e-Business and Telecommunications

Volume number: 1

ISBN: 978-989-758-260-8

DOI: http://dx.doi.org/10.5220/0006425700170024

URL: http://www.scitepress.org/DigitalLibrary/PublicationsDetail.aspx?ID=Wu6QPR4SOrk=&t=1

Self-archived copy’s web address: https://research.utu.fi/converis/portal/detail/Publication/28388892


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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Last updated on 2022-07-04 at 16:40