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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.
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  • HAL Id : inria-00548291, version 1



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⟩



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