Dynamic Control and Prototyping of Parallel Algorithms for Intermediate- and High-Level Vision

Authors:
A. M. Wallace;G. J. Michaelson;P. McAndrew;K. G. Waugh;W. J. Austin
Affiliations:
-;-;-;-;-
Venue:
Computer
Year:
1992

Citing 9
Cited 4

Detecting global variables in denotational specifications

ACM Transactions on Programming Languages and Systems (TOPLAS) - Lecture notes in computer science Vol. 174
A system organization for parallel image processing

Pattern Recognition - Parallel and other image analysis methods
The Adaptive Hough Transform

IEEE Transactions on Pattern Analysis and Machine Intelligence
Partitioning Problems in Parallel, Pipeline, and Distributed Computing

IEEE Transactions on Computers
Hough transform algorithms for mesh-connected SIMD parallel processors

Computer Vision, Graphics, and Image Processing
A survey of the Hough transform

Computer Vision, Graphics, and Image Processing
A comparison of approaches to high-level image interpretation

Pattern Recognition
A framework for functional specification and transformation of hidden surface elimination algorithms

Computer Graphics Forum
Functional Programming Using Standard ML

Functional Programming Using Standard ML

A Dual Source, Parallel Architecture for Computer Vision

The Journal of Supercomputing
Programming languages and systems for prototyping concurrent applications

ACM Computing Surveys (CSUR)
Performance Metrics for Embedded Parallel Pipelines

IEEE Transactions on Parallel and Distributed Systems
Skeleton realisations from functional prototypes

Patterns and skeletons for parallel and distributed computing

Quantified Score

Hi-index	4.10

Visualization

Abstract

Developing parallel algorithms for intermediate and high levels of computer vision systems is addressed. Because the algorithms are complex and the nature and size of the input and output data sets vary for each application, the authors have directly developed parallel algorithms for dynamic control of both processing and communication complexity during execution. They have also examined the merits of functional prototyping and transforming programs into imperative execution code for final implementation. To evaluate and give direction to their work, they have implemented algorithms for plane detection and object recognition on a flexible transputer network.