We investigate a method for interpretation of facades from single images. The emphasis is on the separation of knowledge about facade structure and detection of facade elements. The interpretation task is formulated as a Bayesian inference problem of nding maximum a posteriori estimate. A stochastic model that encompasses the structural knowledge about facade elements is presented and an it is used together with an integrated classi er to determine the correct positions of facade elements. We construct a Markov chain Monte Carlo sampler that solves the problem. Various improvements of the model and sampling algorithm are discussed. Finally, we propose a more general approach for structural recognition using context-free grammars that could be used for other computer vision tasks.
| Identifer | oai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:286723 |
| Date | January 2010 |
| Creators | Dobiaš, Martin |
| Contributors | Zitová, Barbara, Šára, Radim |
| Source Sets | Czech ETDs |
| Language | English |
| Detected Language | English |
| Type | info:eu-repo/semantics/masterThesis |
| Rights | info:eu-repo/semantics/restrictedAccess |
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