Approach to auto-recognition of design elements for the intelligent management of interior pictures

Jinsung Kim, Jaeyeol Song, Jin Kook Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

This paper explores automated recognition of elements in interior design pictures for an intelligent design reference management system. Precedent design references have a significant role to help architects, designer and even clients in general architecture design process. Pictures are one of the representation that could exactly show a kind of design idea and knowledge. Due to the velocity, variety and volume of reference pictures data with growth of references platform, it is hard and time-consuming to handle the data with current manual way. To solve this problem, this paper depicts a deep learning-based approach to figuring out design elements and recognizing the design feature of them on the interior pictures using faster-RCNN and CNN algorithms. The targets are the residential furniture such as a table and a seating. Through proposed application, input pictures can automatically have tagging data as follows; seating1(type: sofa, seating capacity: two-seaters, design style: classic)

Original languageEnglish
Title of host publicationIntelligent and Informed - Proceedings of the 24th International Conference on Computer-Aided Architectural Design Research in Asia, CAADRIA 2019
EditorsMatthias Hank Haeusler, Marc Aurel Schnabel, Tomohiro Fukuda
PublisherThe Association for Computer-Aided Architectural Design Research in Asia (CAADRIA)
Pages785-794
Number of pages10
ISBN (Electronic)9789887891727
Publication statusPublished - 2019 Jan 1
Event24th International Conference on Computer-Aided Architectural Design Research in Asia: Intelligent and Informed, CAADRIA 2019 - Wellington, New Zealand
Duration: 2019 Apr 152019 Apr 18

Publication series

NameIntelligent and Informed - Proceedings of the 24th International Conference on Computer-Aided Architectural Design Research in Asia, CAADRIA 2019
Volume2

Conference

Conference24th International Conference on Computer-Aided Architectural Design Research in Asia: Intelligent and Informed, CAADRIA 2019
CountryNew Zealand
CityWellington
Period19/4/1519/4/18

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition
  • Software

Fingerprint Dive into the research topics of 'Approach to auto-recognition of design elements for the intelligent management of interior pictures'. Together they form a unique fingerprint.

Cite this