NDLI: Investigating the Effect of Illumination and Viewpoint on Image Recognisability

Content Provider	IEEE Xplore Digital Library
Author	Bamunusinghe, J. Alahakoon, D.
Copyright Year	2008
Description	Author affiliation: Clayton Sch. of Inf. Technol., Monash Univ., Melbourne, VIC (Bamunusinghe, J.; Alahakoon, D.)
Abstract	View point and illumination are two main factors that make difficult for machines to compare the two instances of the same object. Therefore investigating the effect of illumination and viewpoint on images recognisability is crucial. How ever the goal of our final project is to build a system which can achieve understanding from images. Thus this paper is focusing on investigating how an artificial system can separate the images based on view point and illumination. The technique we used in this experiment is image clustering. The growing self organizing map was used as the clustering tool as it has many advantages over many other clustering tools as well as the ability to generate hierarchical clustering. The experiments were carried out using a well known face image database called 'Yale face database B'. The results of this experiment showed the potential of using growing self organizing map to separate objects with different effects into different groups.
Starting Page	502
Ending Page	506
File Size	599196
Page Count	5
File Format	PDF
ISBN	9781424428991
DOI	10.1109/ICIAFS.2008.4783984
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-12
Publisher Place	Sri Lanka
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Temporal lobe Image recognition visual perception Humans Information technology image clustering Organizing Visual perception Defense industry Image databases Lighting Streaming media growing self organizing map
Content Type	Text
Resource Type	Article

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