Critical curves and surfaces for euclidean reconstruction

Fredrik Kahl, Richard Hartley

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

    9 Citations (Scopus)

    Abstract

    The problem of recovering scene structure and camera motion from images has a number of inherent ambiguities. In this paper, configurations of points and cameras are analyzed for which the image points alone are insufficient to recover the scene geometry uniquely. Such configurations are said to be critical. For two views, it is well-known that a configuration is critical only if the two camera centres and all points lie on a ruled quadric. However, this is only a necessary condition. We give a complete characterization of the critical surfaces for two calibrated cameras and any number of points. Both algebraic and geometric characterizations of such surfaces are given. The existence of critical sets for n-view projective reconstruction has recently been reported in the literature. We show that there are critical sets for n-view Euclidean reconstruction as well. For example, it is shown that for any placement of three calibrated cameras, there always exists a critical set consisting of any number of points on a fourth-degree curve.

    Original languageEnglish
    Title of host publicationComputer Vision - 7th European Conference on Computer Vision, ECCV 2002, Proceedings
    EditorsAnders Heyden, Gunnar Sparr, Mads Nielsen, Peter Johansen
    PublisherSpringer Verlag
    Pages447-462
    Number of pages16
    ISBN (Print)9783540437444
    DOIs
    Publication statusPublished - 2002
    Event7th European Conference on Computer Vision, ECCV 2002 - Copenhagen, Denmark
    Duration: 28 May 200231 May 2002

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume2351
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Conference

    Conference7th European Conference on Computer Vision, ECCV 2002
    Country/TerritoryDenmark
    CityCopenhagen
    Period28/05/0231/05/02

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