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Object Recognition Robust Under Translations, Deformations, and Changes in Background
July 1997 (vol. 19 no. 7)
pp. 769-775

Abstract—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.

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Index Terms:
Object recognition, face recognition, coarse-to-fine strategy, parallel processing, Gabor function, wavelet transform, image pyramid, correspondence problem, background independence.
Citation:
Rolf P. Würtz, "Object Recognition Robust Under Translations, Deformations, and Changes in Background," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 19, no. 7, pp. 769-775, July 1997, doi:10.1109/34.598234
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