Document Type
Report
Date
11-1990
Keywords
Sparse arrays
Language
English
Disciplines
Computer Sciences
Description/Abstract
Sparse arrays are arrays in which the number of non-zero elements is a small fraction of the total number of array elements. This paper presents computer vision algorithms using sparse representations for arrays. The parallel architecture considered is a hypercube. The algorithms can be easily modified for other architectures like the mesh. We assume that the architecture is SIMD, i.e., all PEs work under the control of a single control unit.
Recommended Citation
Shankar, Ravi V., "Parallel Vision Algorithms Using Sparse Array Representations" (1990). Electrical Engineering and Computer Science - Technical Reports. 80.
https://surface.syr.edu/eecs_techreports/80
Source
local
Additional Information
School of Computer and Information Science, Syracuse University, SU-CIS-90-37