Framework for automated reconstruction of 3D model from multiple 2D aerial images

Dzenan Lapandic, Jasmin Velagic, Haris Balta

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

Abstract

The paper considers a problem of 3D environment model reconstruction from a set of 2D images acquired by the Unmanned Aerial Vehicle (UAV) in near real-time. The designed framework combines the FAST (Features from Accelerated Segment Test) algorithm and optical flow approach for detection of interest image points and adjacent images reconstruction. The robust estimation of camera locations is performed using the image points tracking. The coordinates of 3D points and the projection matrix are computed simultaneously using Structure-from-Motion (SfM) algorithm, from which the 3D model of environment is generated. The designed framework is tested using real image data and video sequences captured with camera mounted on the UAV. The effectiveness and quality of the proposed framework are verified through analyses of accuracy of the 3D model reconstruction and its time execution.

OriginalspracheEnglisch
TitelProceedings of ELMAR 2017 59th International Symposium ELMAR
Redakteure/-innenMario Mustra, Dijana Vitas, Branka Zovko-Cihlar
Herausgeber (Verlag)Croatian Society Electronics in Marine - ELMAR
Seiten173-176
Seitenumfang4
ISBN (elektronisch)9789531842303
DOIs
PublikationsstatusVeröffentlicht - 29 Nov. 2017
Veranstaltung59th International Symposium ELMAR, ELMAR 2017 - Zadar, Kroatien
Dauer: 18 Sept. 201720 Sept. 2017

Publikationsreihe

NameProceedings Elmar - International Symposium Electronics in Marine
Band2017-September
ISSN (Print)1334-2630

Konferenz

Konferenz59th International Symposium ELMAR, ELMAR 2017
Land/GebietKroatien
OrtZadar
Zeitraum18/09/1720/09/17

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