On the separation of luminance from colour in images


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dc.contributor.author Woodland, Alan
dc.contributor.author Labrosse, Frédéric
dc.date.accessioned 2007-11-15T15:55:11Z
dc.date.available 2007-11-15T15:55:11Z
dc.date.issued 2007-11-15
dc.identifier.citation Woodland , A & Labrosse , F 2007 , ' On the separation of luminance from colour in images ' . en
dc.identifier.other PURE: 81719
dc.identifier.other dspace: 2160/359
dc.identifier.uri http://hdl.handle.net/2160/359
dc.description Alan Woodland and Frédéric Labrosse. On the separation of luminance from colour in images. In Proceedings of the International Conference on Vision, Video and Graphics, Edinburgh, UK, 2005. en
dc.description.abstract Many computer vision and graphics related techniques rely upon illumination invariance of images to derive meaning from images of an object under varying lighting conditions. This is all the appearance-based methods. In practice however this assumption does not hold if one is not careful with either controlling the illumination of the object when capturing its appearance or with some post-processing of the images. This paper presents results of experiments designed to analyse the usefulness for illumination invariance of two colour models, CIE L*a*b* and YUV, that have been designed to provide separation of the luminance information from the colour information, and compare them with more traditional colour models, RGB and HSV. This is done by evaluating the variations in each of the components of the different colour spaces in real images taken in variable illumination conditions. We also present a simple application example. en
dc.language.iso eng
dc.title On the separation of luminance from colour in images en
dc.type Text en
dc.type.publicationtype Conference paper en
dc.contributor.institution Department of Computer Science en
dc.description.status Non peer reviewed en

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