A 3D Shape Benchmark for Retrieval and Automatic Classification of Architectural Data

Raoul Wessel, Ina Blümel, and Reinhard Klein
In proceedings of Eurographics 2009 Workshop on 3D Object Retrieval, pages 53-56, Mar. 2009
 

Abstract

When drafting new buildings, architects make intensive use of existing 3D models including building elements, furnishing, and environment elements. These models are either directly included into the draft or serve as a source for inspiration. To allow efficient reuse of existing 3D models, shape retrieval methods considering the specific requirements of architects must be developed. Unfortunately, common 3D shape benchmarks which are used to evaluate the performance of retrieval algorithms are not well suited for architectural data. First, they incorporate models which are not related to this domain, and second and even more important, the provided classification schemes usually do not match an architect's intuition regarding their notion of design and function. To overcome these drawbacks, we present a freely downloadable shape benchmark especially designed for architectural 3D models. It currently contains 2257 objects from various content providers, including companies specialized on 3D CAD applications. All models are classified according to a scheme developed in close cooperation with architects taking into account their specific requirements regarding design and function. Additionally, we show retrieval results for this benchmark using unsupervised and supervised shape retrieval methods and discuss the specific problems regarding retrieval of architectural 3D models.

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Bibtex

@INPROCEEDINGS{wessel-2009-ABenchmark,
     author = {Wessel, Raoul and Bl{\"u}mel, Ina and Klein, Reinhard},
      pages = {53--56},
      title = {A 3D Shape Benchmark for Retrieval and Automatic Classification of Architectural Data},
  booktitle = {Eurographics 2009 Workshop on 3D Object Retrieval},
       year = {2009},
      month = mar,
   abstract = {When drafting new buildings, architects make intensive use of existing 3D models including building
               elements, furnishing, and environment elements. These models are either directly included into the
               draft or serve as a source for inspiration. To allow efficient reuse of existing 3D models, shape
               retrieval methods considering the specific requirements of architects must be developed.
               Unfortunately, common 3D shape benchmarks which are used to evaluate the performance of retrieval
               algorithms are not well suited for architectural data. First, they incorporate models which are not
               related to this domain, and second and even more important, the provided classification schemes
               usually do not match an architect's intuition regarding their notion of design and function. To
               overcome these drawbacks, we present a freely downloadable shape benchmark especially designed for
               architectural 3D models. It currently contains 2257 objects from various content providers,
               including companies specialized on 3D CAD applications. All models are classified according to a
               scheme developed in close cooperation with architects taking into account their specific
               requirements regarding design and function. Additionally, we show retrieval results for this
               benchmark using unsupervised and supervised shape retrieval methods and discuss the specific
               problems regarding retrieval of architectural 3D models.},
       issn = {1997-0463},
       isbn = {978-3-905674-16-3}
}