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[WL05]
(pdf)
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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.
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.
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