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Scene Illuminant Estimation of Multiple Light Sources

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This paper proposes a method for estimating the illuminant spectral power distributions and their relative positional relationship of multiple light sources under a complex illumination environment. A multiband camera system is used for capturing spectral images of dielectric objects in a scene. First, dielectric object surfaces are segmented into regions with different object colors, by using the hue angle of the diffuse reflection component. Specular highlights are used as a clue for estimating the light source information, which are detected on curved object surfaces with the different object colors. The illuminant spectra of light sources are estimated from the camera data for highlight areas detected on each surface region. Then, the illuminant spectral estimates are obtained for a different set of light sources. Next, the geometric information, such as the number of light sources and their relative positional relationship is predicted based on the set of estimated illuminant spectra on the segmented surface regions. The algorithm of probabilistic relaxation labeling is used for classification of the detected highlights and the estimated spectra. The feasibility of the proposed method is examined in experiments on real scenes.
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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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