@inproceedings{2514f331ac6b4dfa9b31be3d3631a2b4,
title = "Parallel implementation of vision algorithms on workstation clusters",
abstract = "Parallel implementations of two computer vision algorithms on distributed cluster platforms are described. The first algorithm is a square-error data clustering method whose parallel implementation is based on the well-known sequential CLUSTER program. The second algorithm is a motion parameter estimation algorithm used to determine correspondence between two images taken of the same scene. Both algorithms have been implemented and tested on cluster platforms using the PVM package. Performance measurements demonstrate that it is possible to attain good performance in terms of execution time and speedup for large-scale problems, provided that adequate memory, swap space, and I/O capacity are available at each node.",
author = "Dan Judd and Ratha, \{Nalini K.\} and McKinley, \{Philip K.\} and John Weng and Jain, \{Anil K.\}",
note = "Publisher Copyright: {\textcopyright} 1994 IEEE.; 12th IAPR International Conference on Pattern Recognition - Conference C: Signal Processing - Conference D: Parallel Computing, ICPR 1994 ; Conference date: 09-10-1994 Through 13-10-1994",
year = "1994",
doi = "10.1109/ICPR.1994.577189",
language = "English",
series = "Proceedings - International Conference on Pattern Recognition",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "317--321",
booktitle = "Proceedings - International Conference on Pattern Recognition",
address = "United States",
}