Issue No. 07 - July (1997 vol. 19)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/34.598234
<p><b>Abstract</b>—Recognition systems based on model matching using low level features often fail due to a variation in background. As a solution, I present a system for the recognition of human faces independent of hairstyle. Correspondence maps between an image and a model are established by coarse-fine matching in a Gabor pyramid. These are used for hierarchical recognition.</p>
Object recognition, face recognition, coarse-to-fine strategy, parallel processing, Gabor function, wavelet transform, image pyramid, correspondence problem, background independence.
R. P. Würtz, "Object Recognition Robust Under Translations, Deformations, and Changes in Background," in IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 19, no. , pp. 769-775, 1997.