Monocular, real-time surface reconstruction using dynamic level of detail

Jacek Zienkiewicz, Akis Tsiotsios, Andrew Davison, Stefan Leutenegger

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

28 Zitate (Scopus)

Abstract

We present a scalable, real-time capable method for robust surface reconstruction that explicitly handles multiple scales. As a monocular camera browses a scene, our algorithm processes images as they arrive and incrementally builds a detailed surface model.While most of the existing reconstruction approaches rely on volumetric or point-cloud representations of the environment, we perform depth-map and colour fusion directly into a multi-resolution triangular mesh that can be adaptively tessellated using the concept of Dynamic Level of Detail. Our method relies on least-squares optimisation, which enables a probabilistically sound and principled formulation of the fusion algorithm.We demonstrate that our method is capable of obtaining high quality, close-up reconstruction, as well as capturing overall scene geometry, while being memory and computationally efficient.

OriginalspracheEnglisch
TitelProceedings - 2016 4th International Conference on 3D Vision, 3DV 2016
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
Seiten37-46
Seitenumfang10
ISBN (elektronisch)9781509054077
DOIs
PublikationsstatusVeröffentlicht - 15 Dez. 2016
Extern publiziertJa
Veranstaltung4th International Conference on 3D Vision, 3DV 2016 - Stanford, USA/Vereinigte Staaten
Dauer: 25 Okt. 201628 Okt. 2016

Publikationsreihe

NameProceedings - 2016 4th International Conference on 3D Vision, 3DV 2016

Konferenz

Konferenz4th International Conference on 3D Vision, 3DV 2016
Land/GebietUSA/Vereinigte Staaten
OrtStanford
Zeitraum25/10/1628/10/16

Fingerprint

Untersuchen Sie die Forschungsthemen von „Monocular, real-time surface reconstruction using dynamic level of detail“. Zusammen bilden sie einen einzigartigen Fingerprint.

Dieses zitieren