Laplacian smoothing transform for face recognition

Scientia Sinica(Informationis), pp. 4-15, 2011.

Cited by: 22|Bibtex|Views4|DOI:https://doi.org/10.1007/s11432-010-4099-1
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Other Links: link.springer.com|dblp.uni-trier.de|academic.microsoft.com

Abstract:

In this paper, we investigate how to extract the lowest frequency features from an image. A novel Laplacian smoothing transform (LST) is proposed to transform an image into a sequence, by which low frequency features of an image can be easily extracted for a discriminant learning method for face recognition. Generally, the LST is able to ...More

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