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

Dzenan Lapandic, Jasmin Velagic, Haris Balta

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationProceedings of ELMAR 2017 59th International Symposium ELMAR
EditorsMario Mustra, Dijana Vitas, Branka Zovko-Cihlar
PublisherCroatian Society Electronics in Marine - ELMAR
Pages173-176
Number of pages4
ISBN (Electronic)9789531842303
DOIs
Publication statusPublished - 29 Nov 2017
Event59th International Symposium ELMAR, ELMAR 2017 - Zadar, Croatia
Duration: 18 Sept 201720 Sept 2017

Publication series

NameProceedings Elmar - International Symposium Electronics in Marine
Volume2017-September
ISSN (Print)1334-2630

Conference

Conference59th International Symposium ELMAR, ELMAR 2017
Country/TerritoryCroatia
CityZadar
Period18/09/1720/09/17

Keywords

  • 3D Model reconstruction
  • Aerial images
  • Structure from motion
  • Unmanned aerial vehicle

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