Survey on zoom-lens calibration methods and techniques

Shirazi Muhammad Ayaz, Min Young Kim, Jaechan Park

Research output: Contribution to journalArticlepeer-review

18 Scopus citations

Abstract

This paper surveys zoom-lens calibration approaches, such as pattern-based calibration, self-calibration, and hybrid (or semiautomatic) calibration. We describe the characteristics and applications of various calibration methods employed in zoom-lens calibration and offer a novel classification model for zoom-lens calibration approaches in both single and stereo cameras. We elaborate on these calibration techniques to discuss their common characteristics and attributes. Finally, we present a comparative analysis of zoom-lens calibration approaches, highlighting the advantages and disadvantages of each approach. Furthermore, we compare the linear and nonlinear camera models proposed for zoom-lens calibration and enlist the different techniques used to model the camera’s parameters for zoom (or focus) settings.

Original languageEnglish
Pages (from-to)803-818
Number of pages16
JournalMachine Vision and Applications
Volume28
Issue number8
DOIs
StatePublished - 1 Nov 2017

Keywords

  • Active vision
  • Camera calibration
  • Self-calibration
  • Zoom lens
  • Zoom-dependent calibration

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