Abstract
Skin detection is an important preprocessing step for many applications. In some cases, reliable detection is needed under the real-world's challenging illumination conditions, that is, when the prevailing illumination does not correspond to the one used in calibration. Our particular goal in this paper is to design and study a three-sensor camera for these kinds of illumination conditions. This is done in three stages. First, a representative set of illuminants is selected from a given color temperature range. In the second stage, different illumination normalization methods are tested for the camera channel model. Simple bell-shaped sensors are tested with a chosen normalization method in the last stage. Different sensor combinations are evaluated based on their gamut ratios for skin and Munsell reflectances.
| Original language | English |
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| Pages | 150-156 |
| Number of pages | 7 |
| Publication status | Published - Nov 2004 |
| Event | 12th Color Imaging Conference: Color Science and Engineering Systems, Technologies, and Applications - Scottsdale, United States Duration: 1 Nov 2004 → … |
Conference
| Conference | 12th Color Imaging Conference: Color Science and Engineering Systems, Technologies, and Applications |
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| Country/Territory | United States |
| City | Scottsdale |
| Period | 1/11/04 → … |