Title :
A problem-independent control algorithm for image understanding
Author :
Kummert, F. ; Sagerer, G. ; Niemann, H.
Author_Institution :
Techn. Fakultat, Bielefeld Univ., Germany
fDate :
30 Aug-3 Sep 1992
Abstract :
Presents a problem-independent control algorithm for image understanding providing both data-driven and model-driven control structures. By an easy combination of these structures any mixed strategy can be achieved. The basis is a framework for the representation of declarative and procedural knowledge using a semantic network
Keywords :
image recognition; knowledge representation; data driven control structures; image understanding; knowledge representation; model-driven control structures; problem-independent control algorithm; semantic network; Concrete; Context modeling; Data analysis; Graphics; Image segmentation; Image sensors; Mechanical factors; Speech; Wheels;
Conference_Titel :
Pattern Recognition, 1992. Vol.I. Conference A: Computer Vision and Applications, Proceedings., 11th IAPR International Conference on
Conference_Location :
The Hague
Print_ISBN :
0-8186-2910-X
DOI :
10.1109/ICPR.1992.201562
