Knowledge-based control of vision systems

C. Shekhar, S. Moisan, R. Vincent, P. Burlina, R. Chellappa

Research output: Contribution to journalArticlepeer-review

Abstract

We propose a framework for the development of vision systems that incorporate, along with the executable computer algorithms, the problem-solving knowledge required to obtain optimal performance from them. In this approach, the user provides the input data, specifies the vision task to be performed, and then provides feedback in the form of qualitative evaluations of the results obtained. These assessments are interpreted in a knowledge-based framework to automatically select algorithms and set parameters until results of the desired quality are obtained. This approach is illustrated on two real applications, and examples from the knowledge bases developed are discussed in detail.

Original languageEnglish (US)
Pages (from-to)667-683
Number of pages17
JournalImage and Vision Computing
Volume17
Issue number9
DOIs
StatePublished - Jul 1999

ASJC Scopus subject areas

  • Signal Processing
  • Computer Vision and Pattern Recognition

Fingerprint Dive into the research topics of 'Knowledge-based control of vision systems'. Together they form a unique fingerprint.

Cite this