An improved algorithm for two-image camera self-calibration and Euclidean structure recovery using absolute quadric

Chun Rong Huang, Chu Song Chen, Pau-Choo Chung

Research output: Contribution to journalArticle

11 Citations (Scopus)

Abstract

We present an improved algorithm for two-image camera self-calibration and Euclidean structure recovery, where the effective focal lengths of both cameras are assumed to be the only unknown intrinsic parameters. By using the absolute quadric, it is shown that the effective focal lengths can be computed linearly from two perspective images without imposing scene or motion constraints. Moreover, a quadratic equation derived from the absolute quadric is proposed for solving the parameters of the plane at infinity from two images, which upgrades a projective reconstruction to a Euclidean reconstruction.

Original languageEnglish
Pages (from-to)1713-1722
Number of pages10
JournalPattern Recognition
Volume37
Issue number8
DOIs
Publication statusPublished - 2004 Aug 1

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Cameras
Calibration
Recovery

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence

Cite this

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An improved algorithm for two-image camera self-calibration and Euclidean structure recovery using absolute quadric. / Huang, Chun Rong; Chen, Chu Song; Chung, Pau-Choo.

In: Pattern Recognition, Vol. 37, No. 8, 01.08.2004, p. 1713-1722.

Research output: Contribution to journalArticle

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