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It depends on the local appearance and shape of nose region characterized by edge information. Independent Components Analysis (ICA) is used to learn the appearance of nose. We show experimentally that using edge information for characterizing appearance and shape outperforms using intensity information....

https://link.springer.com/chapter/10.1007/978-3-642-15910-7_45

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Independent components analysis-based nose detection method

The method adopt Independent Components Analysis (ICA) as a subspace classifier to classify the face candidate region to nose or non nose. The ICA basis vectors are estimated by the FastICA algorithm. The training has been done using features of nose appearance and shape characterized by the edge information.

https://www.infona.pl/resource/bwmeta1.element.ieee-art-000005647104

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