International Journal of Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Comprehensive Colour Image Normalization
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
A biologically motivated double-opponency approach to illumination invariance
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part III
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Colour based object recognition is a difficult problem because of the effect of scene illuminant and geometry on the captured image. In this paper the ability of an algorithm proposed by Finlayson and Drew [1] to separate similar colours is assessed. A new variant of this algorithm is then proposed that results in a slight improvement in performance. A significant performance improvement is achieved by optimising the characteristics of the sensors that are used to acquire the data for this algorithm. This optimisation process results in several combinations of sensors and associated data projections that have a comparable performance when required to distinguish between similar colours. Since this performance is comparable to that of the human visual system it is suggested that with the correct sensors this algorithm is capable of obtaining useful chromaticity information under varying illumination conditions.