Hardware platform for region extraction in foveal images

Francisco J. Coslado; Martin Gonzalez; Pelegrin Camacho; Francisco Sandoval

doi:10.1117/12.502254

23 June 2003 Hardware platform for regions extraction in foveal images

Francisco J. Coslado, Martin Gonzalez, Pelegrin Camacho, Francisco Sandoval

Proceedings Volume 5150, Visual Communications and Image Processing 2003; (2003) https://doi.org/10.1117/12.502254
Event: Visual Communications and Image Processing 2003, 2003, Lugano, Switzerland

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.

Citation Download Citation

Francisco J. Coslado, Martin Gonzalez, Pelegrin Camacho, and Francisco Sandoval "Hardware platform for regions extraction in foveal images", Proc. SPIE 5150, Visual Communications and Image Processing 2003, (23 June 2003); https://doi.org/10.1117/12.502254

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