Anisotropic Gaussian Filters for Face Class Modeling

In this paper we propose a new approach to automatic human face detection which employs anisotropic Gaussian filters as local image descriptors. We then show how the paradigm of classifier combination can be used for building a face detector that outperforms the current state–of– the–art systems, while remaining fast enough for being used in real–time systems. We report a number of results on some reference datasets and we use an unbiased method for comparing the detectors.


Published in:
Proceedings of IEEE 2nd International Conference on Intelligent Computer Communication and Processing (ICCP), 1, 121-127
Year:
2006
Publisher:
IEEE
Keywords:
Laboratories:




 Record created 2006-10-27, last modified 2018-03-17

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