Camera calibration based on Snell's law

Psang-Dain Lin, Chi Kuen Sung

Research output: Contribution to journalArticle

11 Citations (Scopus)

Abstract

In this paper we present a camera calibration method using Snell's Law. Traditional camera calibration is based on the pinhole model, which is an approximation algorithm using untrue geometrical assumptions and giving a single lumped result for the various optical elements in the camera system. Using full modeling of lens geometry, the proposed method establishes the geometric relationship between images and objects via Snell's Law. A matrix equation that relates the intrinsic/extrinsic parameters of image the plane and six pose parameters of each element is determined from sensitivity analysis. These parameters can be identified using the least square method by observing points with known coordinates. An illustrative example using a two-camera stereo coordinate measurement system demonstrates that system performance via the proposed method is better than the pinhole model.

Original languageEnglish
Pages (from-to)548-557
Number of pages10
JournalJournal of Dynamic Systems, Measurement and Control, Transactions of the ASME
Volume128
Issue number3
DOIs
Publication statusPublished - 2006 Sep 1

Fingerprint

Cameras
cameras
Calibration
pinholes
Approximation algorithms
sensitivity analysis
least squares method
Optical devices
Sensitivity analysis
Lenses
lenses
Geometry
geometry
approximation

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Instrumentation

Cite this

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Camera calibration based on Snell's law. / Lin, Psang-Dain; Sung, Chi Kuen.

In: Journal of Dynamic Systems, Measurement and Control, Transactions of the ASME, Vol. 128, No. 3, 01.09.2006, p. 548-557.

Research output: Contribution to journalArticle

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