Machine Vision: Three Generations of Commercial Systems.
Abstract
Since 1980, machine vision systems for industrial application have enjoyed a rapidly expanding market. The first generation machines are two-dimensional binary vision systems, patterned after the SRI Vision Module. These systems will soon be joined by a second generation, based on edges description techniques. Both the first and second generation systems are pattern recognition machines. Research in machine vision is leading towards vision systems that will be able to dynamically model the three-dimensional (3-D) surfaces in a scene. This research will lead to a third generation of vision systems which will provide a dramatic increase in capabilities over the first two generations. This article describes these three generations of vision systems. The algorithms, data structures, and hardware architecture are presented for binary vision systems and edge-based systems. A framework is presented for the research problems which must be solved before a commercial vision system can be produced based on dynamic 3-D Scene analysis techniques. (Author)
Document Details
- Document Type
- Technical Report
- Publication Date
- Jan 25, 1984
- Accession Number
- ADA139037
Entities
People
- J. L. Crowley
Organizations
- Carnegie Mellon University