Mapping local image deformations into depth

  • Authors:
  • Stephen Benoit;Frank P. Ferrie

  • Affiliations:
  • Department of Electrical and Computer Engineering, and the Centre for Intelligent Machines, McGill University, Montréal, Canada;Department of Electrical and Computer Engineering, and the Centre for Intelligent Machines, McGill University, Montréal, Canada

  • Venue:
  • ICIAR'05 Proceedings of the Second international conference on Image Analysis and Recognition
  • Year:
  • 2005

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Abstract

The paper presents a 2 frame structure-from-motion algorithm that operates by mapping local changes (image deformations) into estimates of time-to-collision (TTC). For constant velocity motion of the camera in a stationary scene, time-to-collision amounts to coarse depth data – useful for navigation and qualitative scene understanding. The theory is supported by a set of experiments demonstrating accurate TTC recovery from video sequence data acquired by a mobile robot.