From ordinal to euclidean reconstruction with partial scene calibration

Daphna Weinshall, P. Anandan, Michal Irani

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

5 Scopus citations


Since uncalibrated images permit only projective reconstruction, metric information requires either camera or scene calibration. We propose a stratified approach to projective reconstruction, in which gradual increase in domain information for scene calibration leads to gradual increase in 3D information. Our scheme includes the following steps: (1) Register the images with respect to a reference plane; this can be done using limited scene information, e.g., the knowledge that two pairs of lines on the plane are parallel. We show that this calibration is suficient for ordinal reconstruction - sorting the points by their height over the reference plane. (2) If available, use the relative height of two additional out-of-plane points to compute the height of the remaining points up to constant scaling. Our scheme is based on the dual epipolar geometry in the reference frame, which we develop below. We show good results with five sequences of real images, using mostly scene calibration that can be inferred directly from the images themselves.

Original languageAmerican English
Title of host publication3D Structure from Multiple Images of Large-Scale Environments - European Workshop, SMILE 1998, Proceedings
EditorsReinhard Koch, Luc Van Gool
PublisherSpringer Verlag
Number of pages16
ISBN (Print)3540653104, 9783540653103
StatePublished - 1998
EventWorkshop on 3D Structure from Multiple Images of Large-Scale Environments, SMILE 1998 - Freiburg, Germany
Duration: 6 Jun 19987 Jun 1998

Publication series

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


ConferenceWorkshop on 3D Structure from Multiple Images of Large-Scale Environments, SMILE 1998

Bibliographical note

Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 1998.


Dive into the research topics of 'From ordinal to euclidean reconstruction with partial scene calibration'. Together they form a unique fingerprint.

Cite this