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High-Accuracy homography estimation for robust pan-Tilt-zoom camera calibration

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

Abstract

A robust and full automatic pan-Tilt-zoom (PTZ) camera calibration of intrinsic parameters is proposed in this paper. This method elegantly combined the estimation of lens distortion coefficient and the homography given an image pair taken by the camera undergoing an arbitrary pan-Tilt rotation in a fixed zoom. Addressing the problem that the feature-based homography estimation approaches loose the optimality in presence of feature location noise which was assumed as isotropic and identical distributed, we propose a better homography and lens distortion estimation by using covariance matrix weighted Ransac under lens distortion called as CWRLD in which the feature location noise is considered as anisotropic non identical distributed noise. The robustness and effectiveness of our method are demonstrated on both synthetic and real data.

Original languageEnglish
Title of host publication3rd IEEE International Conference on "Computational Intelligence and Communication Technology", CICT 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509062188
DOIs
StatePublished - 12 Jul 2017
Event3rd IEEE International Conference on "Computational Intelligence and Communication Technology", CICT 2017 - Ghaziabad, India
Duration: 9 Feb 201710 Feb 2017

Publication series

Name3rd IEEE International Conference on

Conference

Conference3rd IEEE International Conference on "Computational Intelligence and Communication Technology", CICT 2017
Country/TerritoryIndia
CityGhaziabad
Period9/02/1710/02/17

Keywords

  • CWRLD
  • Homography estimation
  • PTZ camera calibration
  • component

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