The task of automatic facial feature detection in frontal-view, ID-type pictures is considered. Attention is focused on the problem of eye detection. A neural network approach is tested using adaptive logic networks, which are suitable for this problem on account of their high evaluation speed on serial hardware compared to that of more common multilayer perceptrons. We present theoretical reasoning and experimental results. The experiments are carried out with images of different clarity, scale, lighting, orientation and backgrounds.
CITATION STYLE
Gorodnichy, D. O., Armstrong, W. W., & Li, X. (1997). Adaptive logic networks for facial feature detection. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1311, pp. 332–339). Springer Verlag. https://doi.org/10.1007/3-540-63508-4_140
Mendeley helps you to discover research relevant for your work.