Title :
Concurrent radar image shape-from-shading on high-performance computers
Author_Institution :
Inst. of Comput. Graphics, Tech. Univ. of Graz, Austria
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;
Conference_Titel :
Pattern Recognition, 1996., Proceedings of the 13th International Conference on
Conference_Location :
Vienna
Print_ISBN :
0-8186-7282-X
DOI :
10.1109/ICPR.1996.547633
