A4 Vertaisarvioitu artikkeli konferenssijulkaisussa
Plane equation features in depth sensor tracking
Tekijät: Mika Taskinen, Tero Säntti, Teijo Lehtonen
Toimittaja: Sebastiano Battiato, Mohammad S. Obaidat, Enrique Cabello
Konferenssin vakiintunut nimi: International Joint Conference on e-Business and Telecommunications
Kustantaja: SciTePress
Kustannuspaikka: Madrid, Spain
Julkaisuvuosi: 2017
Kokoomateoksen nimi: Proceedings of the 14th International Joint Conference on e-Business and Telecommunications (ICETE 2017)
Tietokannassa oleva lehden nimi: ICETE 2017 - Proceedings of the 14th International Joint Conference on e-Business and Telecommunications
Vuosikerta: 1
Aloitussivu: 17
Lopetussivu: 24
ISBN: 978-989-758-260-8
DOI: https://doi.org/10.5220/0006425700170024
Verkko-osoite: http://www.scitepress.org/DigitalLibrary/PublicationsDetail.aspx?ID=Wu6QPR4SOrk=&t=1
Rinnakkaistallenteen osoite: https://research.utu.fi/converis/portal/detail/Publication/28388892
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.
Ladattava julkaisu This is an electronic reprint of the original article. |  |
