Human Vision Perception in Built Environment: Applying image-based approach for architectural cue recognition

Q. Chen, B. Vries, de

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Abstract

This paper first presents a review on visual perception in the built environment and human vision simulation. Followed by the description of the Standard Feature Model of visual cortex (SFM), an architectural cue recognition model is proposed using SFM-based features. Based on the findings of the experiments it can be concluded that the visual differences between architectural cues are too subtle to realistically simulate human vision for the SFM model.
Original languageEnglish
Title of host publicationCAADFutures 2009
EditorsT Tidafy, T Dorta
Place of PublicationMontreal
PublisherMontreal University Press
Pages328-341
Publication statusPublished - 2009
Event13th International Conference on Computer Aided Architectural Design Futures (CAAD Futures 2009) - University of Montreal, Montreal, Canada
Duration: 17 Jun 200919 Jun 2009
Conference number: 13
http://www.arclab.umontreal.ca/CAADFutures09/CAAD_futures_2009_home.php

Conference

Conference13th International Conference on Computer Aided Architectural Design Futures (CAAD Futures 2009)
Abbreviated titleCAAD Futures 2009
CountryCanada
CityMontreal
Period17/06/0919/06/09
Other"Joining languages, cultures and visions"
Internet address

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