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dc.contributor.authorAlegre, Fernando
dc.contributor.authorDellaert, Frank
dc.date.accessioned2005-01-20T17:37:28Z
dc.date.available2005-01-20T17:37:28Z
dc.date.issued2004
dc.identifier.urihttp://hdl.handle.net/1853/4483
dc.description.abstractWe present a probabilistic image-based approach to the semantic interpretation of building facades. We are motivated by the 4D Atlanta project at Georgia Tech, which aims to create a system that takes a collection of historical imagery of a city and infers a 3D model parameterized by time. Here it is necessary to recover, from historical imagery, metric and semantic information about buildings that might no longer exist or have undergone extensive change. Current approaches to automated 3D model reconstruction typically recover only geometry, and a systematic approach that allows hierarchical classification of structural elements is still largely missing. We extract metric and semantic information from images of facades, allowing us to decode the structural elements in them and their inter-relationships, thus providing access to highly structured descriptions of buildings. Our method is based on constructing a Bayesian generative model from stochastic context-free grammars that encode knowledge about facades. This model combines low-level segmentation and high-level hierarchical labelling so that the levels reinforce each other and produce a detailed hierarchical partition of the depicted facade into structural blocks. Markov chain Monte Carlo sampling is used to approximate the posterior over partitions given an image.en
dc.format.extent699142 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.publisherGeorgia Institute of Technologyen
dc.relation.ispartofseriesGVU Technical Report;GIT-GVU-04-31
dc.subjectSegmentationen
dc.subjectFacadesen
dc.subjectStochastic grammarsen
dc.subjectSamplingen
dc.subjectGenerative modelen
dc.subjectImage parsingen
dc.subjectSemanticen
dc.subjectInferenceen
dc.subjectStructural elementsen
dc.subjectBayesianen
dc.titleA Probabilistic Approach to the Semantic Interpretation of Building Facadesen
dc.typeTechnical Reporten


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