Journal
ACM TRANSACTIONS ON GRAPHICS
Volume 33, Issue 4, Pages -Publisher
ASSOC COMPUTING MACHINERY
DOI: 10.1145/2601097.2601162
Keywords
Urban modeling; facades; procedural modeling; inverse procedural modeling; shape grammars
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Funding
- Visual Computing Center of King Abdullah University of Science and Technology (KAUST)
- National Natural Science Foundation of China [61372168, 61172104, 61331018, 61372184]
- U.S. National Science Foundation [0643822]
- Direct For Computer & Info Scie & Enginr
- Division of Computing and Communication Foundations [0643822] Funding Source: National Science Foundation
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In this paper, we address the following research problem: How can we generate a meaningful split grammar that explains a given facade layout? To evaluate if a grammar is meaningful, we propose a cost function based on the description length and minimize this cost using an approximate dynamic programming framework. Our evaluation indicates that our framework extracts meaningful split grammars that are competitive with those of expert users, while some users and all competing automatic solutions are less successful.
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