Image rectification for stereoscopic visualization

Jin Zhou, Baoxin Li

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

This paper proposes an approach to rectifying two images of the same scene captured by cameras at general positions so that the results form a stereo pair that satisfies the constraints of the stereoscopic visualization platforms. This is unlike conventional image rectification research that primarily focuses on making stereo matching easier but pays little attention to 3D viewing. The novel derivation of the rectification algorithm also has an intuitive physical meaning that is not available from conventional approaches. Practical issues related to wide-baseline rectification and operation range of the proposed method are analyzed. Both simulated and real data experiments are used to assess the performance of the proposed algorithm.

Original languageEnglish (US)
Pages (from-to)2721-2733
Number of pages13
JournalJournal of the Optical Society of America A: Optics and Image Science, and Vision
Volume25
Issue number11
DOIs
StatePublished - Nov 1 2008

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rectification
Visualization
Cameras
derivation
platforms
cameras
Experiments

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Electronic, Optical and Magnetic Materials
  • Computer Vision and Pattern Recognition

Cite this

Image rectification for stereoscopic visualization. / Zhou, Jin; Li, Baoxin.

In: Journal of the Optical Society of America A: Optics and Image Science, and Vision, Vol. 25, No. 11, 01.11.2008, p. 2721-2733.

Research output: Contribution to journalArticle

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