The algorithmic beauty of plants
The algorithmic beauty of plants
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
The Logic of Architecture: Design, Computation, and Cognition
The Logic of Architecture: Design, Computation, and Cognition
ACM SIGGRAPH 2003 Papers
Modelling and Interpretation of Architecture from Several Images
International Journal of Computer Vision
Metropolis procedural modeling
ACM Transactions on Graphics (TOG)
Random Exploration of the Procedural Space for Single-View 3D Modeling of Buildings
International Journal of Computer Vision
Reconstruction of structure and texture of city building facades
Programming and Computing Software
A three-layered approach to facade parsing
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VII
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Today's processes to extract man-made objects from measurement data are quite traditional. Often, they are still point based, with the exception of a few systems which allow to automatically fit simple primitives to measurement data. At the same time, demands on the data are steadily growing. The need to be able to automatically transform object representations, for example, in order to generalize their geometry, enforces a structurally rich object description. Likewise, the trend towards more and more detailed representations requires to exploit structurally repetitive and symmetric patterns present in man-made objects, in order to make extraction cost-effective. In this paper, we address the extraction of building façades in terms of a structural description. As has been described previously by other authors, we use a formal grammar to derive a structural façade description in the form of a derivation tree. We use a process based on reversible jump Markov Chain Monte Carlo (rjMCMC) to guide the application of derivation steps during the construction of the tree.