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2000
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Face Detection Based on Generic Local Descriptors and Spatial Constraints

8 years 11 months ago
Face Detection Based on Generic Local Descriptors and Spatial Constraints
In this paper we present an algorithm for face detection that is based on generic local descriptors (e.g. eyes). A generic descriptor captures the distribution of individual descriptors over a set of samples (training images). This distribution is assumed to be a Gaussian mixture model and is learnt using the minimum description length principle (MDL). A descriptor of an unknown image may then be classified as one of the generic local descriptors. Robustness is achieved by using spatial constraints between locations of descriptors. Experiments show very promising results.
Veronika Vogelhuber, Cordelia Schmid
Added 31 Jul 2010
Updated 31 Jul 2010
Type Conference
Year 2000
Where ICPR
Authors Veronika Vogelhuber, Cordelia Schmid
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