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Accurate appearance-based visualization of car paints

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We propose a new method to generate images with a given color and texture, in order to visualize the appearance of car paints. Unlike current methods, the new method is based on visual comparisons of rendered paints with actual physical samples. Thus, we optimized the method to maximize the appearance match between rendered image and the corresponding car paint. In the new method it is possible to set accurate numerical values for not only color properties, but also for well-defined texture parameters.

The new method is able to accurately render car paints under various light conditions, ranging from purely unidirectional, intense spot light to purely diffuse light. We show that the latter type of lighting conditions, which is often encountered in practical situations, is not well covered by existing rendering techniques that are based on BRDF and BTF measurements. Compared to existing methods for rendering, the proposed method is much faster regarding measurement and calculation, it has lower instrument costs and requires less data storage.
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Document Type: Research Article

Publication date: January 1, 2012

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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