A critical configuration for reconstruction from rectilinear motion

Richard Hartley*, Fredrik Kahl

*Corresponding author for this work

    Research output: Contribution to journalConference articlepeer-review

    3 Citations (Scopus)

    Abstract

    This paper investigates critical configurations for projective reconstruction from multiple images taken by a camera moving in a straight line. Projective reconstruction refers to a determination of the 3D geometrical configuration of a set of 3D points and cameras, given only correspondences between points in the images. A configuration of points and cameras is critical if it can not be determined uniquely (up to a projective transform) from the image coordinates of the points. It is shown that a configuration consisting of any number of cameras lying on a straight line, and any number of points lying on a twisted cubic constitutes a critical configuration. An alternative configuration consisting of a set of points and cameras all lying on a rational quartic curve exists.

    Original languageEnglish
    Pages (from-to)I/511-I/517
    JournalProceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
    Volume1
    Publication statusPublished - 2003
    Event2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Madison, WI, United States
    Duration: 18 Jun 200320 Jun 2003

    Fingerprint

    Dive into the research topics of 'A critical configuration for reconstruction from rectilinear motion'. Together they form a unique fingerprint.

    Cite this