Similarity Measures for Face Recognition

Cosine-Based Distances, Correlations, and Angles for Face Recognition

Author(s): Enrico Vezzetti and Federica Marcolin

Pp: 47-55 (9)

DOI: 10.2174/9781681080444115010007

* (Excluding Mailing and Handling)

Abstract

The cosine distance compares the feature vectors of two images by returning the cosine of the angle between two vectors. Other cosine- and angle-based measures are here presented, including Tanimoto dissimilarity and Jaccard index, together with other correlations; they have been employed in algorithms relying on PCA, ICA, NN, and Gabor wavelets, especially on bi-dimensional facial data. Only correlation coefficients have been applied on three-dimensional point clouds.


Keywords: Angle distance, cosine distance, cosine similarity measure, Pearson correlation, Tanimoto dissimilarity, Jaccard index.

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