Abstract
Human face detection is an essential step in the creation of intelligent lighting ambiences, but the constantly changing multi-color illumination makes reliable face detection more challenging. Therefore, we introduce a new face detection and localization algorithm, which retains a high performance under various indoor illumination conditions. The method is based on the creation of a robust skin mask, using general color constancy techniques, and the application of the Viola-Jones face detector on the candidate face areas. Extensive experiments, using a challenging state-of-the-art database and a new one with a wider variation in colored illumination and cluttered background, show a significantly better performance for the newly proposed algorithm than for the most widely used face detection algorithms.
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Katsimerou, C., Redi, J.A., Heynderickx, I. (2013). Face Detection in Intelligent Ambiences with Colored Illumination. In: van Berlo, A., Hallenborg, K., Rodríguez, J., Tapia, D., Novais, P. (eds) Ambient Intelligence - Software and Applications. Advances in Intelligent Systems and Computing, vol 219. Springer, Heidelberg. https://doi.org/10.1007/978-3-319-00566-9_25
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DOI: https://doi.org/10.1007/978-3-319-00566-9_25
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