Image rectification for stereoscopic visualization without 3d glasses

  • Authors:
  • Jin Zhou;Baoxin Li

  • Affiliations:
  • Department of Computer Science & Engineering, Arizona State University, Tempe, AZ;Department of Computer Science & Engineering, Arizona State University, Tempe, AZ

  • Venue:
  • CIVR'06 Proceedings of the 5th international conference on Image and Video Retrieval
  • Year:
  • 2006

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Abstract

There exist various methods for stereoscopic viewing of images, most requiring that a viewer wears some special glasses. Recent technology developments have resulted in displays that enable 3D viewing without glasses. In this paper, we present results from our proposed approach to automatic rectification of two images of the same scene captured by cameras at general positions, so that the results can be viewed on a 3D display. Both simulated and real data experiments are presented.