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Proceedings Paper

Hardware platform for region extraction in foveal images
Author(s): Francisco J. Coslado; Martin Gonzalez; Pelegrin Camacho; Francisco Sandoval
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Paper Abstract

Foveal sensors can substantially increase the performance of active vision systems because of their ability to handle wide field of view and simultaneously reducing the data/bandwidth with space variant sensing. In order to process the multiresolution images and associated data structures, a new hierarchical processing has been applied to minimize data communications and retrieval. In the paper we present a hardware platform implementing a level sequential segmentation algorithm in one of these hierarchical structures generated using a Cartesian lattice topology. This platform is designed to work at 33 frame/s using as an input the levels obtained after preprocessing the uniform resolution images from digital cameras.

Paper Details

Date Published: 23 June 2003
PDF: 11 pages
Proc. SPIE 5150, Visual Communications and Image Processing 2003, (23 June 2003); doi: 10.1117/12.502254
Show Author Affiliations
Francisco J. Coslado, Univ. de Malaga (Spain)
Martin Gonzalez, Univ. de Malaga (Spain)
Pelegrin Camacho, Univ. de Malaga (Spain)
Francisco Sandoval, Univ. de Malaga (Spain)

Published in SPIE Proceedings Vol. 5150:
Visual Communications and Image Processing 2003
Touradj Ebrahimi; Thomas Sikora, Editor(s)

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