Concurrent radar image shape-from-shading on high-performance computers

Author

Goller, Alois

Author_Institution

Inst. of Comput. Graphics, Tech. Univ. of Graz, Austria

Volume

4

fYear

1996

fDate

25-29 Aug 1996

Firstpage

589

Abstract

A given serial version of the shape-from-shading algorithm was parallelized and improved to handle large images. Applied parallelization techniques, as well as the implemented load balancing and controlling methods are described. The concurrent (i.e. non-optimal parallel) version was ported to Meiko CS-2 and Intel PARAGON supercomputers as well as to a cluster of Indy workstations from SGI. Important results concerning the performance of the concurrent shape-from-shading implementation on those architectures are presented and compared to each other

Keywords

feature extraction; image reconstruction; parallel processing; performance evaluation; radar imaging; remote sensing; Intel PARAGON supercomputer; Meiko CS-2 supercomputer; SGI Indy workstations; concurrent radar images; digital elevation model; feature extraction; parallel processing; shape-from-shading algorithm; Algorithm design and analysis; Concurrent computing; Data mining; Image processing; Image sensors; Radar imaging; Rough surfaces; Shape; Surface roughness; Surface topography;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 1996., Proceedings of the 13th International Conference on

Conference_Location

Vienna

ISSN

1051-4651

Print_ISBN

0-8186-7282-X

Type

conf

DOI

10.1109/ICPR.1996.547633

Filename

547633