Local Discriminant Wavelet Packet Coordinates for Face Recognition
The Journal of Machine Learning Research
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Wavelets produce sparse noise tolerant image representations. This paper explores wavelets used for object localization in target images. We propose utilizing the multi-resolution property of wavelets in an efficient object localization search. A cost metric of complexity and information measures selects the best wavelet decomposition level for object localization. Experimental results are presented.