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Spectral Representation of Object Colours

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Reflectance functions can be represented by low-dimensional linear models with weighted sum of principal components (or, often, referred to as basis functions). Such method to obtain a low-dimensional linear model is based on principal component analysis (PCA). The specific requirement for a low-dimensional model is to accumulate fraction of variance of the basis functions. The more basis functions included the more fraction of variance accumulates. The investigation of how many basis functions required so as to represent reflectance functions accurately has been extensively studied over the last two decades [1, 2] since Cohen fitted a linear model to spectral reflectance functions of Munsell color chips in 1964 [3]. In this paper, a comprehensive dataset of 97593 including six types of materials has been accumulated. These materials are paint, graphic, plastic, textile, skin and natural samples. Principal component analysis for each material has been studied. The effective dimension of reflectance functions representations for these materials has examined. It was found that a single set of basis functions can essentially be applied to represent all spectra in the world.
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Document Type: Research Article

Publication date: January 1, 2012

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  • 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.

    Please note: for Purposes of its Digital Library content, IS&T defines Open Access as papers that will be downloadable in their entirety for free in perpetuity. Copyright restrictions on papers vary; see individual paper for details.

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