Title :
Locating facial features in image sequences using neural networks
Author :
Reinders, M.J.T. ; Koch, R.W.C. ; Gerbrands, J.J.
Author_Institution :
Dept. of Electr. Eng., Delft Univ. of Technol., Netherlands
Abstract :
The paper describes a method for the automatic location of facial features, such as eyes, nose and mouth, in image sequences using a neural network approach. It is shown that by modeling the feature sought as a structural assembly of micro-features, and by using a probabilistic interpretation of neural network outputs, it is possible to construct a location system that is more robust than a location system which uses the feature as a single entity. With this micro-feature approach, not only can the position of the features be found but shape of the features can be obtained as well
Keywords :
eye; face recognition; feature extraction; image sequences; neural nets; probability; automatic facial feature location; eyes; feature modeling; feature position; feature shape; image sequences; mouth; neural network outputs; neural networks; nose; probabilistic interpretation; structural micro-feature assembly; Detectors; Eyes; Facial features; Image resolution; Image sequences; Information theory; Intelligent networks; Neural networks; Pixel; Robustness;
Conference_Titel :
Automatic Face and Gesture Recognition, 1996., Proceedings of the Second International Conference on
Conference_Location :
Killington, VT
Print_ISBN :
0-8186-7713-9
DOI :
10.1109/AFGR.1996.557269
