This paper proposed a neural network based method for eyes location. In our work, face area is first located initially using an illumination invariant face skin model; Then, it is segmented by the combination of image transformation and a competitive Hopfield neural network (CHNN) and facial feature candidates such as eyes, eyebrows and mouth are obtained; Finally, eyes are located by facial features evaluation and validation, which is based on face's geometrical structures. Experimental results show that our system performs well under not good lighting conditions. © Springer-Verlag Berlin Heidelberg 2006.
CITATION STYLE
Feng, X. Y., Yang, L. P., Dang, Z., & Pietik̈inen, M. (2006). Eyes location using a neural network. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3972 LNCS, pp. 474–479). Springer Verlag. https://doi.org/10.1007/11760023_69
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