Object recognition in images by human vision and computer vision

Q. Chen, J. Dijkstra, B. Vries, de

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademic

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Samenvatting

Object recognition plays a major role in human behaviour research in the built environment. Computer based object recognition techniques using images as input are challenging, but not an adequate representation of human vision. This paper reports on the differences in object shape recognition between human vision and computer vision. To this end, we explore an image-based recognition algorithm and a model-based recognition algorithm. Experiments were conducted using these two algorithms given images generated by Radiance lighting simulation software. The results reveal significant differences between human vision and computer vision given various conditions in the testing images and in the testing room.
Originele taal-2Engels
TitelConference proceeding of 10th International Conference on Design & Decision Support Systems in Architecture and Urban Planning
Plaats van productieEindhoven
Pagina'sCD-ROM-
StatusGepubliceerd - 2010
Evenement10th International Conference on Design and Decision Support Systems, (DDSS2010) - Evoluon, Eindhoven, Nederland
Duur: 19 jul 201022 jul 2010
Congresnummer: 10

Congres

Congres10th International Conference on Design and Decision Support Systems, (DDSS2010)
Verkorte titelDDSS2010
LandNederland
StadEindhoven
Periode19/07/1022/07/10
Ander10th International Conference om Design and Decision Support Systems in Architecture and Urban Planning, TU/e Eindhoven, 19-22 July 2010

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