Recognizing and Classifying Unknown Object in BIM Using 2D CNN

Jinsung Kim; Jaeyeol Song; Jin Kook Lee

doi:10.1007/978-981-13-8410-3_4

Recognizing and Classifying Unknown Object in BIM Using 2D CNN

Jinsung Kim, Jaeyeol Song, Jin Kook Lee

Department of Interior Architecture and Built Environment

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

13 Citations (Scopus)

Abstract

This paper aims to propose an approach to automated classifying building element instance in BIM using deep learning-based 3D object classification algorithm. Recently, studies related to checking or validating engine of BIM object for ensuring data integrity of BIM instances are getting attention. As a part of this research, this paper train recognition models that are targeted at basic building element and interior element using 3D object recognition technique that uses images of objects as inputs. Object recognition is executed in two stages; (1) class of object (e.g. wall, window, seating furniture, toilet fixture and etc.), (2) sub-type of specific classes (e.g. Toilet or Urinal). Using the trained models, BIM plug-in prototype is developed and the performance of this AI-based approach with test BIM model is checked. We expect this recognition approach to help ensure the integrity of BIM data and contribute to the practical use of BIM.

Original language	English
Title of host publication	Computer-Aided Architectural Design. “Hello, Culture” - 18th International Conference, CAAD Futures 2019, Selected Papers
Editors	Ji-Hyun Lee
Publisher	Springer Verlag
Pages	47-57
Number of pages	11
ISBN (Print)	9789811384097
DOIs	https://doi.org/10.1007/978-981-13-8410-3_4
Publication status	Published - 2019
Event	18th International Conference on Computer-Aided Architectural Design Futures, CAAD Futures 2019 - Daejeon, Korea, Republic of Duration: 2019 Jun 26 → 2019 Jun 28

Publication series

Name	Communications in Computer and Information Science
Volume	1028
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

Conference

Conference	18th International Conference on Computer-Aided Architectural Design Futures, CAAD Futures 2019
Country/Territory	Korea, Republic of
City	Daejeon
Period	19/6/26 → 19/6/28

Bibliographical note

Funding Information:
Acknowledgement. This research was supported by a grant (19AUDP-B127891-03) from the Architecture & Urban Development Research Program funded by the Ministry of Land, Infrastructure and Transport of the Korean government.

Publisher Copyright:
© 2019, Springer Nature Singapore Pte Ltd.

All Science Journal Classification (ASJC) codes

Computer Science(all)
Mathematics(all)

Access to Document

10.1007/978-981-13-8410-3_4

Cite this

Kim, J., Song, J., & Lee, J. K. (2019). Recognizing and Classifying Unknown Object in BIM Using 2D CNN. In J-H. Lee (Ed.), Computer-Aided Architectural Design. “Hello, Culture” - 18th International Conference, CAAD Futures 2019, Selected Papers (pp. 47-57). (Communications in Computer and Information Science; Vol. 1028). Springer Verlag. https://doi.org/10.1007/978-981-13-8410-3_4

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abstract = "This paper aims to propose an approach to automated classifying building element instance in BIM using deep learning-based 3D object classification algorithm. Recently, studies related to checking or validating engine of BIM object for ensuring data integrity of BIM instances are getting attention. As a part of this research, this paper train recognition models that are targeted at basic building element and interior element using 3D object recognition technique that uses images of objects as inputs. Object recognition is executed in two stages; (1) class of object (e.g. wall, window, seating furniture, toilet fixture and etc.), (2) sub-type of specific classes (e.g. Toilet or Urinal). Using the trained models, BIM plug-in prototype is developed and the performance of this AI-based approach with test BIM model is checked. We expect this recognition approach to help ensure the integrity of BIM data and contribute to the practical use of BIM.",

author = "Jinsung Kim and Jaeyeol Song and Lee, {Jin Kook}",

note = "Funding Information: Acknowledgement. This research was supported by a grant (19AUDP-B127891-03) from the Architecture & Urban Development Research Program funded by the Ministry of Land, Infrastructure and Transport of the Korean government. Publisher Copyright: {\textcopyright} 2019, Springer Nature Singapore Pte Ltd.; 18th International Conference on Computer-Aided Architectural Design Futures, CAAD Futures 2019 ; Conference date: 26-06-2019 Through 28-06-2019",

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Kim, J, Song, J & Lee, JK 2019, Recognizing and Classifying Unknown Object in BIM Using 2D CNN. in J-H Lee (ed.), Computer-Aided Architectural Design. “Hello, Culture” - 18th International Conference, CAAD Futures 2019, Selected Papers. Communications in Computer and Information Science, vol. 1028, Springer Verlag, pp. 47-57, 18th International Conference on Computer-Aided Architectural Design Futures, CAAD Futures 2019, Daejeon, Korea, Republic of, 19/6/26. https://doi.org/10.1007/978-981-13-8410-3_4

Recognizing and Classifying Unknown Object in BIM Using 2D CNN. / Kim, Jinsung; Song, Jaeyeol; Lee, Jin Kook.
Computer-Aided Architectural Design. “Hello, Culture” - 18th International Conference, CAAD Futures 2019, Selected Papers. ed. / Ji-Hyun Lee. Springer Verlag, 2019. p. 47-57 (Communications in Computer and Information Science; Vol. 1028).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Recognizing and Classifying Unknown Object in BIM Using 2D CNN

Abstract

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Bibliographical note

All Science Journal Classification (ASJC) codes

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