Single Surface Colour Constancy
In this paper we combine both statistical and physical knowledge in a new colour constancy algorithm. First, we observe that, statistically, the chromaticities of most illuminants are tightly clustered around the Planckian locus. Second, we make use of the physics-based dichromatic model of image formation. This model predicts that the chromaticities corresponding to a single convex, uniformly coloured, surface fall along a line in chromaticity space. This line is spanned by the body chromaticity (the colour of the surface) and the interface chromaticity (the colour of the shiny part of the surface i.e. the colour of the light). Simply by intersecting the dichromatic chromaticity line with the illuminant locus our algorithm arrives at an estimate of illumination.
Remarkably, (yet by definition) our algorithm can estimate the colour of the light even when there is just a single surface in a scene (the lowest colour diversity possible). Moreover, and more importantly, experiments on real images demonstrate that estimation accuracy can be very good.
Document Type: Research Article
Publication date: January 1, 1999
CIC is the premier annual technical gathering for scientists, technologists, and engineers working in the areas of color science and systems, and their application to color imaging. Participants represent disciplines ranging from psychophysics, optical physics, image processing, color science to graphic arts, systems engineering, and hardware and software development. While a broad mix of professional interests is the hallmark of these conferences, the focus is color. CICs traditionally offer two days of short courses followed by three days of technical sessions that include three keynotes, an evening lecture, a vibrant interactive (poster) papers session, and workshops. An endearing symbol of the meeting is the Cactus Award, given each year to the author(s) of the best interactive paper; there are also Best Paper and Best Student Paper awards.
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