Skip to Main content Skip to Navigation
Conference papers

A Unification of Autocalibration Methods

Long Quan 1 Bill Triggs 1
1 MOVI - Modeling, localization, recognition and interpretation in computer vision
GRAVIR - IMAG - Laboratoire d'informatique GRAphique, VIsion et Robotique de Grenoble, Inria Grenoble - Rhône-Alpes, CNRS - Centre National de la Recherche Scientifique : FR71
Abstract : This paper describes a unified theory for autocalibration of a moving camera. The camera models can be 2D projective, 2D affine camera and 1D projective projections. The scenes can be either non-planar scenes or planar scenes and the camera may also undergoes a pure rotation. All these cases are unified into the same framework based on the direction bases. Each formulation on the direction bases is also paralleled with that on projective geometry concepts, essentially encoded by the various forms of the absolute conic. This unification provides not only a common theoretical framework, but also suggests unified parameterisation schema for estimation procedures.
Document type :
Conference papers
Complete list of metadata

Cited literature [31 references]  Display  Hide  Download

https://hal.inria.fr/inria-00548291
Contributor : Thoth Team Connect in order to contact the contributor
Submitted on : Monday, December 20, 2010 - 8:42:54 AM
Last modification on : Monday, December 28, 2020 - 3:44:02 PM
Long-term archiving on: : Monday, March 21, 2011 - 2:51:50 AM

Files

Quan-accv00.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : inria-00548291, version 1

Collections

IMAG | CNRS | INRIA | UGA

Citation

Long Quan, Bill Triggs. A Unification of Autocalibration Methods. Asian Conference on Computer Vision (ACCV '00), Jan 2000, Taipei, Taiwan. pp.917--922. ⟨inria-00548291⟩

Share

Metrics

Record views

183

Files downloads

152