Translation estimation from omnidirectional images

Jae Hak Kim*, Richard Hartley

*Corresponding author for this work

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

    5 Citations (Scopus)

    Abstract

    We present a translation estimation method from omnidirectional images with missing data. Given omnidirectional images, it is possible to estimate the rotations of each camera using a fundamental matrix. We can thus get the translations of each camera using a plane-based projective reconstruction method. However, the plane-based translation estimation method does not give a robust result when there are measurement errors in the data. The method proposed in this paper solves this problem and shows more reliable results than the previous method.

    Original languageEnglish
    Title of host publicationProceedings of the Digital Imaging Computing
    Subtitle of host publicationTechniques and Applications, DICTA 2005
    Pages148-153
    Number of pages6
    DOIs
    Publication statusPublished - 2005
    EventDigital Imaging Computing: Techniques and Applications, DICTA 2005 - Cairns, Australia
    Duration: 6 Dec 20058 Dec 2005

    Publication series

    NameProceedings of the Digital Imaging Computing: Techniques and Applications, DICTA 2005
    Volume2005

    Conference

    ConferenceDigital Imaging Computing: Techniques and Applications, DICTA 2005
    Country/TerritoryAustralia
    CityCairns
    Period6/12/058/12/05

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