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conference paper
Anisotropic Gaussian Filters for Face Class Modeling
2006
Proceedings of IEEE 2nd International Conference on Intelligent Computer Communication and Processing (ICCP)
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.
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Popovici2006_1512.pdf
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openaccess
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127.81 KB
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Adobe PDF
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