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Evaluation of algorithms

Some authors also take the approach to compute images that look as if they were taken under some canonical illuminant (e.g. Forsyth (1992)). In general, it is important that the output computed by a color constancy algorithm is not affected by changes of the illuminant. In other words, the computed descriptor should be constant irrespective of the illuminant. Otherwise, we would not have a color constancy algorithm. But at the same time, the output has to be nontrivial. If we would not make this assumption, a trivial color constancy algorithm could be found, which returns the same constant value for all input images. This was also pointed out by Forsyth (1992). [Pg.275]

We will be using color-based object recognition to evaluate the quality of the color constancy algorithms. Where ground truth data is available, we can also compare the output of the different algorithms to the measured ground truth data. [Pg.275]


Todd, Cj, Ramachandran. Evaluation of algorithms for tomographic reconstruenon ol cheni-leai concentrations m indoor air. Am. Ind. Hyg. Assoc, /. 55, 1994. [Pg.1119]

Nordbotten, B.J., Tronstad, C., Martinsen, 0.G., Grimnes, S., 2011. Evaluation of algorithms for calculating bioimpedance phase angle values from measured whole-body impedance modulus. Physiol. Meas. 32, 755-765. [Pg.541]


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Evaluation algorithm

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