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Eye Activity Detection and Recognition Using Morphological Scale-Space Decomposition

8 years 10 months ago
Eye Activity Detection and Recognition Using Morphological Scale-Space Decomposition
Automatic recovery of eye gestures from image sequences is one of the important topics for face recognition and model-based coding of videophone sequences. Usually complicated models of the eye and its motion are used. In this contribution an eye gesture parameter estimation is described. A previously published automatic eye detection/tracking algorithm, based on template matching, is used for the eye pose detection. The eye gesture analysis is realised with a mathematical morphology scale-space approach, forming spatio-temporal curves out of scale measurement statistics. The resulting curves provide a direct measure of the eye gesture, which can then be used as an eye animation parameter. Experimental results demonstrate the efficiency and robustness.
Ilse Ravyse, Hichem Sahli, Jan Cornelis, Marcel J.
Added 31 Jul 2010
Updated 31 Jul 2010
Type Conference
Year 2000
Where ICPR
Authors Ilse Ravyse, Hichem Sahli, Jan Cornelis, Marcel J. T. Reinders
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