EPI analysis of fish-eye images

Kenji Terabayashi*, Toru Morita, Hiroya Okamoto, Takaaki Oiwa, Kazunori Umeda

*Corresponding author for this work

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

Abstract

This paper proposes a method to get depth information from image sequences obtained from a moving fish-eye camera. The motion is assumed to be along the optical axis of the fish-eye camera. In this case, a point on a fish-eye image moves to radial direction. This is one of the epipolar constraints that are very effective to find corresponding points in an image sequences. Epipolar-plane image (EPI) is an image having epipolar constraint in a volume of accumulating an image sequence. The gradient of a curve on EPI has depth information of the corresponding measuring point. Measurement accuracy of the proposed method is examined over a wide-angle range.

Original languageEnglish
Title of host publicationIntelligent Autonomous Systems 12 - Proceedings of the 12th International Conference, IAS 2012
PublisherSpringer Verlag
Pages365-373
Number of pages9
EditionVOL. 1
ISBN (Print)9783642339257
DOIs
StatePublished - 2013
Event12th International Conference on Intelligent Autonomous Systems, IAS 2012 - Jeju Island, Korea, Republic of
Duration: 2012/06/262012/06/29

Publication series

NameAdvances in Intelligent Systems and Computing
NumberVOL. 1
Volume193 AISC
ISSN (Print)2194-5357

Conference

Conference12th International Conference on Intelligent Autonomous Systems, IAS 2012
Country/TerritoryKorea, Republic of
CityJeju Island
Period2012/06/262012/06/29

ASJC Scopus subject areas

  • Control and Systems Engineering
  • General Computer Science

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