Abstract
We describe our intermediate level representation and processing of partial 3D wire frame data, obtained from edge-based stereo depth reconstruction systems. We use a double representation schema, based both on CAD winged-edge-like data-structures and on frames. We also use a goal-oriented grouping mechanism combining a data-drive bottom-up indexing, mainly in the form of a potential connect graph, and a knowledge-driven top-down grouping, whose methods are distributed along the structural hierarchy of the knowledge-base. The best candidate instances of higher-level geometrical structures are sought using these grouping mechanisms. They are then matched against their template-class and, when possible, completed using WFRL [Burbello 1991], a knowledge-based system capable of verifying and imposing constraints on incomplete wire frame structures.
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References
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© 1991 Springer-Verlag Berlin Heidelberg
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Burbello, F., Pollard, S.B., Porrill, J., Mayhew, J.E.W. (1991). Retrieval of high-level data structures from stereo vision data. In: Ardizzone, E., Gaglio, S., Sorbello, F. (eds) Trends in Artificial Intelligence. AI*IA 1991. Lecture Notes in Computer Science, vol 549. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-54712-6_243
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DOI: https://doi.org/10.1007/3-540-54712-6_243
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