Abstract
Motivated by claims to ‘bridge the representational gap between image and model features’ and by the growing importance of topological properties we discuss several extensions to dual graph pyramids: structural simplification should preserve important topological properties and content abstraction could be guided by an external knowledge base. We review multilevel graph hierarchies under the special aspect of their potential for abstraction and grouping.
Supported by the Austrian Science Foundation under grant FSP-S9103-N04.
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Kropatsch, W.G., Haxhimusa, Y. (2005). Grouping of Non-connected Structures by an Irregular Graph Pyramid. In: Marques, J.S., Pérez de la Blanca, N., Pina, P. (eds) Pattern Recognition and Image Analysis. IbPRIA 2005. Lecture Notes in Computer Science, vol 3523. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11492542_14
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DOI: https://doi.org/10.1007/11492542_14
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