A SUPERVISED MODIFICATION OF THE HAUSDORFF DISTANCE FOR VISUAL SHAPE CLASSIFICATION
2002; World Scientific; Volume: 16; Issue: 03 Linguagem: Inglês
10.1142/s0218001402001733
ISSN1793-6381
AutoresAlbert Pujol, Juan J. Villanueva, José Luis Alba‐Castro,
Tópico(s)Advanced Image and Video Retrieval Techniques
ResumoHausdorff distance is a deformation tolerant measure between two sets of points. The main advantage of this measure is that it does not need an explicit correspondence between the points of the two sets. This paper presents the application to automatic face recognition of a novel supervised Hausdorff-based measure. This measure is designed to minimize the distance between sets of the same class (subject) and at the same time maximize the distance of sets between different classes.
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