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Similarity Measures for Face Images: An Experimental Study

This work describes experiments aimed at finding a straightforward but effective way of comparing face images.We discuss properties of the basic concepts, such as the Euclidean, cosine and correlation metrics, test the simplest version of elastic templates, and compare these solutions with distances based on texture descriptors (Local Ternary Patterns). The influence of selected image processing methods (e.g. bilateral ltering) on image comparison results is also considered. Additionally, the new metric, in which differences between LTP histograms are weighted with alignment coefficients, is proposed.

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Additional information

DOI
Digital Object Identifier link open in new tab 10.1007/978-3-319-46418-3_30
Category
Aktywność konferencyjna
Type
materiały konferencyjne indeksowane w Web of Science
Language
angielski
Publication year
2016

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