Triangulation in random refractive distortions

Marina Alterman, Yoav Y. Schechner, Yohay Swirski

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Random refraction occurs in turbulence and through a wavy water-air interface. It creates distortion that changes in space, time and with viewpoint. Localizing objects in three dimensions (3D) despite this random distortion is important to some predators and also to submariners avoiding the salient use of periscopes. We take a multiview approach to this task. Refracted distortion statistics induce a probabilistic relation between any pixel location and a line of sight in space. Measurements of an object's random projection from multiple views and times lead to a likelihood function of the object's 3D location. The likelihood leads to estimates of the 3D location and its uncertainty. Furthermore, multiview images acquired simultaneously in a wide stereo baseline have uncorrelated distortions. This helps reduce the acquisition time needed for localization. The method is demonstrated in stereoscopic video sequences, both in a lab and a swimming pool.

Original languageEnglish
Title of host publication2013 IEEE International Conference on Computational Photography, ICCP 2013
DOIs
StatePublished - 2013
Event2013 5th IEEE International Conference on Computational Photography, ICCP 2013 - Cambridge, MA, United States
Duration: 19 Apr 201321 Apr 2013

Publication series

Name2013 IEEE International Conference on Computational Photography, ICCP 2013

Conference

Conference2013 5th IEEE International Conference on Computational Photography, ICCP 2013
Country/TerritoryUnited States
CityCambridge, MA
Period19/04/1321/04/13

All Science Journal Classification (ASJC) codes

  • Computer Science (miscellaneous)
  • Computer Vision and Pattern Recognition

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