TY - JOUR
T1 - Knowledge-based control of vision systems
AU - Shekhar, C.
AU - Moisan, S.
AU - Vincent, R.
AU - Burlina, P.
AU - Chellappa, R.
PY - 1999/7
Y1 - 1999/7
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=0032681195&partnerID=8YFLogxK
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U2 - 10.1016/S0262-8856(98)00137-1
DO - 10.1016/S0262-8856(98)00137-1
M3 - Article
AN - SCOPUS:0032681195
VL - 17
SP - 667
EP - 683
JO - Image and Vision Computing
JF - Image and Vision Computing
SN - 0262-8856
IS - 9
ER -