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Recovering normal vectors and albedo under uncontrolled illumination with an RGB digital camera

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This paper proposes a spatio-spectral imaging device to simulate and acquire color images under different geometries of illumination. The method allows image analysis and synthesis, even for rough-textured surfaces, under different directions of the incident illumination. In addition the use of the albedo instead of directly the RGB information helps to avoid any shadows or highlights that might falsify results. For accurate color reproduction under uncontrolled illumination conditions an RGB digital camera is used in combination with a 4-sourcebased photometric stereo algorithm to estimate the normals at each image point and the albedo of the surfaces at each pixel. The experimental results show good colorimetric accuracy in the color reproduction of artificial texture objects.
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Document Type: Research Article

Publication date: January 1, 2010

More about this publication?
  • Started in 2002 and merged with the Color and Imaging Conference (CIC) in 2014, CGIV covered a wide range of topics related to colour and visual information, including color science, computational color, color in computer graphics, color reproduction, volor vision/psychophysics, color image quality, color image processing, and multispectral color science. Drawing papers from researchers, scientists, and engineers worldwide, DGIV offered attendees a unique experience to share with colleagues in industry and academic, and on national and international standards committees. Held every year in Europe, DGIV papers were more academic in their focus and had high student participation rates.

    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 papers for details.

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