Abstract
In this paper we present the results of the use of some morphological approaches to feature extraction for face localization in gray level images. Namely we have applied the Morphological Multiscale Fingerprints (MMF), and two grayscale Hit-or-Miss transforms. The morphological feature extraction techniques tested belong to the class of global image feature extraction approaches. They can be combined with others to ensure a more robust face localization. No structural relationships between face elements are taken into account. We compare these results with those obtained using a standard PCA approach.
Dept. CCIA, UPV/EHU
Work supported by project PI-1998-21 from the Gobierno Vasco and project TAP-98-0294-C02-02 from the CICYT. Bogdan Raducanu has a predoctoral grant from the UPV/EHU
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Raducanu, B., Grana, M. (2002). Testing Some Morphological Approaches to Face Localization. In: Goutsias, J., Vincent, L., Bloomberg, D.S. (eds) Mathematical Morphology and its Applications to Image and Signal Processing. Computational Imaging and Vision, vol 18. Springer, Boston, MA. https://doi.org/10.1007/0-306-47025-X_45
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DOI: https://doi.org/10.1007/0-306-47025-X_45
Publisher Name: Springer, Boston, MA
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