Skip to main navigation Skip to search Skip to main content

3D reconstruction of dynamic scenes from two asynchronous video-streams

  • Technical University of Munich

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

1 Scopus citations

Abstract

We present an algorithm for reconstruction of dynamic scenes from a video input of an asynchronous stereopair. Our method presumes that the timestamps of the frame acquisitions and the intrinsic parameters of the stereo cameras are known, as well as, that the extrinsic parameters can be estimated from static regions of the scene. It computes the 3D trajectory of each individual point by modeling its motion parameters. Our algorithm requires in addition to the two asynchronous images from the camera pair, two additional images from one of the cameras for its processing. Since dynamic scene elements cause wrong reconstructions, here we introduce a two stage process in which the directions of the possible motion components are estimated prior to the 3D pose estimation of the corresponding point.

Original languageEnglish
Title of host publicationVISAPP 2014 - Proceedings of the 9th International Conference on Computer Vision Theory and Applications
PublisherSciTePress
Pages498-506
Number of pages9
ISBN (Print)9789897580093
StatePublished - 2014
Event9th International Conference on Computer Vision Theory and Applications, VISAPP 2014 - Lisbon, Portugal
Duration: 5 Jan 20148 Jan 2014

Publication series

NameVISAPP 2014 - Proceedings of the 9th International Conference on Computer Vision Theory and Applications
Volume3

Conference

Conference9th International Conference on Computer Vision Theory and Applications, VISAPP 2014
Country/TerritoryPortugal
CityLisbon
Period5/01/148/01/14

Keywords

  • Distributed sensing
  • Reconstruction of dynamic scenes
  • Sensor synchronization

Fingerprint

Dive into the research topics of '3D reconstruction of dynamic scenes from two asynchronous video-streams'. Together they form a unique fingerprint.

Cite this