Title :
Illumination invariant skin color segmentation
Author :
Yang, Ukil ; Kim, Bongjoe ; Sohn, Kwanghoon
Author_Institution :
Dept. of Electr. & Electron. Eng., Yonsei Univ., Seoul, South Korea
Abstract :
Skin color segmentation takes a great attention in many vision-based methodologies. However, the performance of the segmentation is not stable because of color variations caused by various illumination conditions. In this paper, we propose a new skin color model for segmentation which is invariant to illumination variation. It is based on illumination-free color space which is defined on Lambertian surface. Through several experimental results, we confirm that the proposed skin color model is successfully applied to skin color segmentation under various illumination conditions.
Keywords :
computer vision; image colour analysis; image segmentation; lighting; Lambertian surface; illumination invariant skin color segmentation; vision-based methodologies; Charge-coupled image sensors; Data mining; Face detection; Face recognition; Image segmentation; Lighting; Probability distribution; Robustness; Skin; Temperature sensors; illumination-free color space; skin color model; skin color segmentation;
Conference_Titel :
Industrial Electronics and Applications, 2009. ICIEA 2009. 4th IEEE Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4244-2799-4
Electronic_ISBN :
978-1-4244-2800-7
DOI :
10.1109/ICIEA.2009.5138283