Chapter 5

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

Enrico Vezzetti and Federica Marcolin

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.

Total Pages: 47-55 (9)

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