Title :
Distributed wireless stereo reconstruction
Author :
Seales, W Brent ; Lumpp, James E., Jr. ; Brown, Michael S.
Author_Institution :
Dept. of Comput. Sci., Kentucky Univ., Lexington, KY, USA
Abstract :
In this paper we present new algorithms and experimental results from a system that performs efficient stereo reconstruction in bandwidth-constrained environments. This new approach is intended for a framework where sensors are connected via a wireless link to a high-speed network of workstations. The algorithms for object reconstruction from stereo correspondence achieve efficiencies by processing the image stream while it is still compressed, exploiting the compression process that is necessary for maximizing throughput on the wireless link
Keywords :
computer vision; data compression; distributed processing; image reconstruction; performance evaluation; stereo image processing; JPEG standard; algorithms; bandwidth-constrained environment; compression process; distributed wireless stereo reconstruction; high-speed network; image stream; object reconstruction; selective decompression; stereo correspondence; stereo reconstruction; wireless link; workstations; Bandwidth; High-speed networks; Image coding; Image reconstruction; Physics computing; Sensor systems; Stereo image processing; Streaming media; Wireless sensor networks; Workstations;
Conference_Titel :
Aerospace Conference, 1997. Proceedings., IEEE
Conference_Location :
Snowmass at Aspen, CO
Print_ISBN :
0-7803-3741-7
DOI :
10.1109/AERO.1997.574405
