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Proceedings Paper

Region-based optical flow estimation technique for collision avoidance
Author(s): Gabriella Convertino
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Paper Abstract

In this paper, a method to refine an initial noisy optical flow map is presented. The method uses geometrical constraints induced by camera motion in order to improve an initial rough optical flow map obtained using the radiometric similarity measure. Under the assumption that the camera motion can be described by a prevalence of translational motion an appropriate cost function is derived, whose minimization is used to improve the initial displacement estimates and to obtain subpixel accuracy. Results are quantitatively compared with other known optical flow estimation techniques. Both synthetic and real image sequence are used in test.

Paper Details

Date Published: 26 September 1997
PDF: 8 pages
Proc. SPIE 3208, Intelligent Robots and Computer Vision XVI: Algorithms, Techniques, Active Vision, and Materials Handling, (26 September 1997); doi: 10.1117/12.290284
Show Author Affiliations
Gabriella Convertino, Istituto Elaborazione Segnali ed Immagini (Italy)


Published in SPIE Proceedings Vol. 3208:
Intelligent Robots and Computer Vision XVI: Algorithms, Techniques, Active Vision, and Materials Handling
David P. Casasent, Editor(s)

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