Hypothesis Integration in Image Understanding Systems.
MARYLAND UNIV COLLEGE PARK CENTER FOR AUTOMATION RESEARCH
Pagination or Media Count:
The goal of this research is to develop a robust control strategy for constructing image understanding systems IUS. This paper proposes a general framework based on the integration of related hypotheses. Hypotheses are regarded as predictions of the occurrences of objects in the image. Related hypotheses are clustered together. A composite hypothesis is computed for each cluster. The goal of the IUS is to verify the hypotheses. We constructed an image understanding system, SIGMA, based on this framework and demonstrated its performance on an aerial image of a suburban housing development. Keywords include image understanding systems, SIGMA, and robust control strategy.
- Cartography and Aerial Photography