@INPROCEEDINGS{7785092,
author={İ. {Demir} and D. G. {Aliaga} and B. {Benes}},
booktitle={2016 Fourth International Conference on 3D Vision (3DV)},
title={Proceduralization for Editing 3D Architectural Models},
year={2016},
volume={},
number={},
pages={194-202},
abstract={Inverse procedural modeling discovers a procedural
representation of an existing geometric model and the discovered
procedural model then supports synthesizing new similar models. We
introduce an automatic approach that generates a compact, efficient, and
re-usable procedural representation of a polygonal 3D architectural
model. This representation is then used for structure-aware editing and
synthesis of new geometric models that resemble the original. Our
framework captures the pattern hierarchy of the input model into a split
tree data representation. A context-free split grammar, supporting a
hierarchical nesting of procedural rules, is extracted from the tree,
which establishes the base of our interactive procedural editing engine.
We show the application of our approach to a variety of architectural
structures obtained by procedurally editing web-sourced models. The
grammar generation takes a few minutes even for the most complex input
and synthesis is fully interactive for buildings composed of up to 200k
polygons.},
keywords={architecture;buildings (structures);computational
geometry;context-free grammars;solid modelling;proceduralization;inverse
procedural modeling;procedural representation;geometric model;polygonal
3D architectural model;structure-aware editing;pattern hierarchy;split
tree data representation;context-free split grammar;hierarchical
nesting;procedural rules;interactive procedural editing
engine;architectural structures;Web-sourced models;grammar
generation;buildings;Grammar;Buildings;Solid modeling;Three-dimensional
displays;Computational modeling;Inverse problems;Shape;Procedural
modeling;proceduralization;shape editing;architectural modeling;geometry
processing},
doi={10.1109/3DV.2016.28},
ISSN={},
month={Oct},}