A stereo self-adjustment methodology for camera parameter restoration in outdoor environments

Nakagawa Masafumi, Kawai Yoshihiro, Tomita Fumiaki

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

Abstract

We propose a stereo camera self-adjustment methodology based on a correlation algorithm. We focus on stereo cameras in vision systems for vehicles and Unmanned Aerial Vehicles. We therefore focus on changes of vergence angle. Our approach uses the following methodology: (1) feature detection using an edge density image, (2) stereo matching to find the lost camera parameters, and (3) a self-adjustment procedure. We have confirmed that a combination of these procedures recovers the camera parameters by using the textured features typical of outdoor environments, even if parameters are lost because of a change of vergence angle.

Original languageEnglish
Title of host publicationProceedings - Digital Image Computing
Subtitle of host publicationTechniques and Applications, DICTA 2008
Pages428-435
Number of pages8
DOIs
Publication statusPublished - 2008 Dec 1
Externally publishedYes
EventDigital Image Computing: Techniques and Applications, DICTA 2008 - Canberra, ACT, Australia
Duration: 2008 Dec 12008 Dec 3

Publication series

NameProceedings - Digital Image Computing: Techniques and Applications, DICTA 2008

Conference

ConferenceDigital Image Computing: Techniques and Applications, DICTA 2008
CountryAustralia
CityCanberra, ACT
Period08/12/108/12/3

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Science Applications

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    Masafumi, N., Yoshihiro, K., & Fumiaki, T. (2008). A stereo self-adjustment methodology for camera parameter restoration in outdoor environments. In Proceedings - Digital Image Computing: Techniques and Applications, DICTA 2008 (pp. 428-435). [4700053] (Proceedings - Digital Image Computing: Techniques and Applications, DICTA 2008). https://doi.org/10.1109/DICTA.2008.103