Likelihood Ratio-Based Detection of Facial Features


Bazen, Asker M. and Veldhuis, Raymond N.J. and Croonen, Gerrie H. (2003) Likelihood Ratio-Based Detection of Facial Features. In: ProRISC 2003, 14th Workshop on Circuits, Systems and Signal Processing, 26-27 November 2003, Veldhoven, the Netherlands (pp. pp. 323-329).

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Abstract:One of the first steps in face recognition, after image acquisition, is registration. A simple but effective technique of registration is to align facial features, such as eyes, nose and mouth, as well as possible to a standard face. This requires an accurate automatic estimate of the locations of those features. This contribution proposes a method for estimating the locations of facial features based on likelihood ratio-based detection. A post-processing step that evaluates the topology of the facial features is added to reduce the number of false detections. Although the individual detectors only have a reasonable performance (equal error rates range from 3.3% for the eyes to 1.0% for the nose), the positions of the facial features are estimated correctly in 95% of the face images.
Item Type:Conference or Workshop Item
Electrical Engineering, Mathematics and Computer Science (EEMCS)
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