Similarity Measures for Face Recognition

Other Measures for Face Recognition

Author(s): Enrico Vezzetti and Federica Marcolin

Pp: 81-92 (12)

DOI: 10.2174/9781681080444115010011

* (Excluding Mailing and Handling)


Other measures are employed to compute similarity between faces. Although some of them are very popular, such as edit distance or turning function distance, they may be more frequently used for object, vectors or shape comparison and less for faces. This paragraph collects all these measures and the works in which they are used for face recognition. Among them, Dynamic Time Warping (DTW), Hidden Markov Models (HMM), and Fréchet distance have been applied to 3D data.

Keywords: Dynamic Time Warping, Fréchet distance, Hidden Markov Models, arc-length distance, Histogram Intersection, Yang distance, Froboenius distance, Gradient Direction, Canberra distance.

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