Detection is achieved by displacing the grid according to a saccadic pattern.
Saccade planning is performed using eye and mouth models implemented by means of Support Vector Machine classifiers. 1 Introduction Facial features detection is of primary importance to face recognition and authentication. Facial features detection by saccadic exploration of the gabor decomposition and support vector machines. 11th Scandinavian Conference on Image Analysis, Kangerlussuaq, Greenland, June 1999. Facial features detection by saccadic exploration of the gabor decomposition and support vector machines.