Details
| Original language | English |
|---|---|
| Title of host publication | eCAADe 2022 - Co-creating the Future |
| Subtitle of host publication | Inclusion in and through Design |
| Editors | Burak Pak, Gabriel Wurzer, Rudi Stouffs |
| Pages | 567-574 |
| Number of pages | 8 |
| Publication status | Published - 2022 |
| Event | 40th Conference on Education and Research in Computer Aided Architectural Design in Europe, eCAADe 2022 - Ghent, Belgium Duration: 13 Sept 2022 → 16 Sept 2022 |
Publication series
| Name | Proceedings of the International Conference on Education and Research in Computer Aided Architectural Design in Europe |
|---|---|
| Volume | 2 |
| ISSN (Print) | 2684-1843 |
Abstract
This paper correlates two methods of aesthetic evaluation of architectural images utilising computer vision (CV) and machine learning (ML) for automating aesthetic evaluation: Calibrated aesthetic measure (CalAM) and aesthetic scoring model (ASM). From a database of images of proposals for a single location, users are invited to like or dislike it on social media to feed an ML model and calibrate an aesthetic measure formula (AMF). A possible application is to assist designers in making decisions according to the hedonic response given by users previously, enabling a faster way of popular participation.
Keywords
- Aesthetic Measure, Computer Vision, Crowdsourcing, Machine learning, Quantitative Aesthetics, Social Media
ASJC Scopus subject areas
- Computer Science(all)
- Computer Graphics and Computer-Aided Design
- Social Sciences(all)
- Education
- Engineering(all)
- Architecture
Cite this
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eCAADe 2022 - Co-creating the Future: Inclusion in and through Design. ed. / Burak Pak; Gabriel Wurzer; Rudi Stouffs. 2022. p. 567-574 (Proceedings of the International Conference on Education and Research in Computer Aided Architectural Design in Europe; Vol. 2).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Computational Quantitative Aesthetics Evaluation
T2 - 40th Conference on Education and Research in Computer Aided Architectural Design in Europe, eCAADe 2022
AU - Sardenberg, Victor
AU - Becker, Mirco
PY - 2022
Y1 - 2022
N2 - This paper correlates two methods of aesthetic evaluation of architectural images utilising computer vision (CV) and machine learning (ML) for automating aesthetic evaluation: Calibrated aesthetic measure (CalAM) and aesthetic scoring model (ASM). From a database of images of proposals for a single location, users are invited to like or dislike it on social media to feed an ML model and calibrate an aesthetic measure formula (AMF). A possible application is to assist designers in making decisions according to the hedonic response given by users previously, enabling a faster way of popular participation.
AB - This paper correlates two methods of aesthetic evaluation of architectural images utilising computer vision (CV) and machine learning (ML) for automating aesthetic evaluation: Calibrated aesthetic measure (CalAM) and aesthetic scoring model (ASM). From a database of images of proposals for a single location, users are invited to like or dislike it on social media to feed an ML model and calibrate an aesthetic measure formula (AMF). A possible application is to assist designers in making decisions according to the hedonic response given by users previously, enabling a faster way of popular participation.
KW - Aesthetic Measure
KW - Computer Vision
KW - Crowdsourcing
KW - Machine learning
KW - Quantitative Aesthetics
KW - Social Media
UR - http://www.scopus.com/inward/record.url?scp=85139246212&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85139246212
SN - 9789491207334
T3 - Proceedings of the International Conference on Education and Research in Computer Aided Architectural Design in Europe
SP - 567
EP - 574
BT - eCAADe 2022 - Co-creating the Future
A2 - Pak, Burak
A2 - Wurzer, Gabriel
A2 - Stouffs, Rudi
Y2 - 13 September 2022 through 16 September 2022
ER -