Calibration of omnidirectional cameras in practice: A comparison of methods

  • Authors:

  • Luis Puig;J. Bermúdez;Peter Sturm;J. J. Guerrero

  • Affiliations:

  • Instituto de Investigación en Ingeniería de Aragón (I3A), Departamento de Informática e Ingeniería de Sistemas, Universidad de Zaragoza, Spain;Grupo de Investigación Aplicada (GIA-MDPI), Instituto Tecnológico de Aragón, Zaragoza, Spain;INRIA Rhône-Alpes and Laboratoire Jean Kuntzmann, Grenoble, France;Instituto de Investigación en Ingeniería de Aragón (I3A), Departamento de Informática e Ingeniería de Sistemas, Universidad de Zaragoza, Spain

  • Venue:
  • Computer Vision and Image Understanding
  • Year:
  • 2012

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Abstract

Omnidirectional cameras are becoming increasingly popular in computer vision and robotics. Camera calibration is a step before performing any task involving metric scene measurement, required in nearly all robotics tasks. In recent years many different methods to calibrate central omnidirectional cameras have been developed, based on different camera models and often limited to a specific mirror shape. In this paper we review the existing methods designed to calibrate any central omnivision system and analyze their advantages and drawbacks doing a deep comparison using simulated and real data. We choose methods available as OpenSource and which do not require a complex pattern or scene. The evaluation protocol of calibration accuracy also considers 3D metric reconstruction combining omnidirectional images. Comparative results are shown and discussed in detail.