Lookup NU author(s): Milena Vurro,
Professor Anya Hurlbert
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The problem of colour constancy is ill-posed. In order to extract surface reflectance accurately from the received colour signal, the visual system must rely on pre-imposed constraints based on properties of the natural world. Here we investigate the surface chromalicity distributions of 7 natural objects under 3 illuminations (D65, CWF and F), using a characterized Nikon D70 SLR camera. We find that these object surfaces exhibit intrinsic chromatic textures and provide a large number of reflectance samples on their own. The information may thereby be utilized to improve colour constancy over that achievable with artificial surfaces possessing single or limited chromaticities. By analyzing the pattern of the chromalicity distributions under changing illumination, we find that the distributions of within-surface cone contrasts for given objects form distinct signatures in cone-contrast space. These signatures transform predictably under changes in illumination. We suggest that this feature may be utilized to aid colour constancy. © 2008 Society for Imaging Science and Technology.
Author(s): Ling Y, Vurro M, Hurlbert A
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: Society for Imaging Science and Technology: 4th European Conference on Colour in Graphics, Imaging, and Vision and 10th International Symposium on Multispectral Colour Science (CGIV/MCS)
Year of Conference: 2008
Publisher: Society for Imaging Science and Technology
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