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Efficiently comparing face images using a modified Hausdorff distance

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1 Author(s)
Gao, Y. ; Sch. of Microelectron. Eng., Griffith Univ., Brisbane, Qld., Australia

Comparing face images using the Hausdorff distance is one of the face matching and fast screening techniques. As a fast screening technique, computational efficiency is a key issue. An efficient method for Hausdorff distance-based face matching and fast screening is proposed. The method utilises dominant points, instead of edge maps, as features for measuring similarity. A new formulation of Hausdorff distance is designed for significance-based dominant point matching. The experiments demonstrate that the proposed approach significantly improves the computational speed and storage economy. It provides a very efficient way to use the Hausdorff distance measure for face matching and fast screening.

Published in:

Vision, Image and Signal Processing, IEE Proceedings -  (Volume:150 ,  Issue: 6 )