3D reconstruction of urban environments using in-vehicle fisheye camera

Jumpei Ishii, Shuji Sakai, Koichi Ito, Takafumi Aoki, Takura Yanagi, Toshiyuki Ando

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

This paper proposes a 3D reconstruction algorithm for urban environments from video sequences taken by an in-vehicle fisheye camera. The proposed algorithm employs (i) fisheye camera calibration to apply the general Structure from Motion to video sequences taken by the fisheye camera and (ii) accurate, dense and robust feature point tracking using phase-based correspondence matching. Experimental evaluation using the video sequence taken by the in-vehicle fisheye camera demonstrates that the proposed algorithm exhibits efficient performance of 3D reconstruction compared with the laser measurement system.

Original languageEnglish
Title of host publication2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings
Pages2145-2148
Number of pages4
DOIs
Publication statusPublished - 2013
Event2013 20th IEEE International Conference on Image Processing, ICIP 2013 - Melbourne, VIC, Australia
Duration: 2013 Sep 152013 Sep 18

Publication series

Name2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings

Other

Other2013 20th IEEE International Conference on Image Processing, ICIP 2013
Country/TerritoryAustralia
CityMelbourne, VIC
Period13/9/1513/9/18

Keywords

  • 3D reconstruction
  • feature point tracking
  • fisheye camera calibration
  • phase-only correlation

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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