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A Bayesian Approach for Scene Interpretation with Integrated Hierarchical Structure
[chapter]
2011
Lecture Notes in Computer Science
We propose a concept for scene interpretation with integrated hierarchical structure. This hierarchical structure is used to detect mereological relations between complex objects as buildings and their parts, e. g., windows. We start with segmenting regions at many scales, arranging them in a hierarchy, and classifying them by a common classifier. Then, we use the hierarchy graph of regions to construct a conditional Bayesian network, where the probabilities of class occurrences in the
doi:10.1007/978-3-642-23123-0_1
fatcat:2wiks6k7gzhp5lwksl64w67wwu