Abstract
Within the printing industry, human skin is one of the most important and difficult color to reproduce. In order to reproduce a better skin color, the printing industry, cosmetic industry and other related industries study invested significantly on facial skin colors. With the increasing of experimental data and facial color recognition technologies, managing these data is now particularly important. But the facial colors are not uniform. Many different experiments were carried out in relation to this topic in hope to extract the facial color. In this study, the observer’s sight and eye movements were tracked by an eye tracking device, the experimental data were analyzed and a better solution was suggested to extract the representative value of each facial images.
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Acknowledgements
This study is funded by Natural Science Foundation of Tianjin (13JCYBJC41800).
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Deng, P. (2017). Extracting the Representative Colors in Facial Image Based on the Eye Tracking. In: Zhao, P., Ouyang, Y., Xu, M., Yang, L., Ouyang, Y. (eds) Advanced Graphic Communications and Media Technologies . PPMT 2016. Lecture Notes in Electrical Engineering, vol 417. Springer, Singapore. https://doi.org/10.1007/978-981-10-3530-2_9
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DOI: https://doi.org/10.1007/978-981-10-3530-2_9
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