DocumentCode
605644
Title
Triangulation in random refractive distortions
Author
Alterman, M. ; Schechner, Y.Y. ; Swirski, Y.
Author_Institution
Dept. of Electr. Eng., Technion - Israel Inst. of Technol., Haifa, Israel
fYear
2013
fDate
19-21 April 2013
Firstpage
1
Lastpage
10
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.
Keywords
distortion; image sequences; mesh generation; object detection; probability; random processes; refraction; statistics; stereo image processing; turbulence; video signal processing; 3D location estimation; 3D object localisation; likelihood function; line of sight; multiview approach; multiview image; object random projection measurement; predator; probabilistic relation; random refractive distortion; statistics; stereo baseline; stereoscopic video sequence; submariners; swimming pool; triangulation; turbulence; uncorrelated distortion; wavy water-air interface; Cameras; Correlation; Distortion measurement; Maximum likelihood estimation; Three-dimensional displays; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Photography (ICCP), 2013 IEEE International Conference on
Conference_Location
Cambridge, MA
Print_ISBN
978-1-4673-6463-8
Type
conf
DOI
10.1109/ICCPhot.2013.6528314
Filename
6528314
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