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Evaluation of Texture Mapping Algorithms

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Five texture mapping algorithms were developed for simulating textures of physical objects on a CRT. Twenty-one thread winding cards with different colours were captured by a digital camera for generating texture profiles which were used to describe the statistical colour distributions of images. A pair comparison method was used to assess the performance of various texture mapping algorithms. A total of 42000 judgements were made by a panel of 10 normal colour vision observers. The results showed that realistic appearance can be achieved by mapping a single set of tristimulus values onto a texture profile specified by the colour distribution only in luminance factor channel.
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Document Type: Research Article

Publication date: January 1, 2004

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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