Using Specific Displacements to Analyze Motion without Calibration

  • Authors:
  • T. Viéville;D. Lingrand

  • Affiliations:
  • INRIA, Sophia, BP93, 06902 Valbonne, France. vthierry@sophia.inria.fr;INRIA, Sophia, BP93, 06902 Valbonne, France

  • Venue:
  • International Journal of Computer Vision
  • Year:
  • 1999

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Abstract

Considering the field of un-calibrated image sequences andself-calibration, this paper analyzes the use of specificdisplacements (such as fixed axis rotation, pure translations,...) orspecific sets of camera parameters. This allows to induce affine ormetric constraints, which can lead to self-calibration and 3Dreconstruction.A uniformed formalism for such models already developed in the literature plussome novel models are developed here. A hierarchy of special situations isdescribed, in order to tailor the most appropriate camera model to either theactual robotic device supporting the camera, or to tailor the fact we onlyhave a reduced set of data available.This visual motion perception module leads to the estimation of a minimal3D parameterization of the retinal displacement for a monocularvisual system without calibration, and leads to self-calibration and3D dynamic analysis.The implementation of these equations is analyzed and experimented.