A friendly guide to wavelets
Object Recognition Robust Under Translations, Deformations, and Changes in Background
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Recognition by Elastic Bunch Graph Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
Distortion Invariant Object Recognition in the Dynamic Link Architecture
IEEE Transactions on Computers
Robust classification of hand postures against complex backgrounds
FG '96 Proceedings of the 2nd International Conference on Automatic Face and Gesture Recognition (FG '96)
Gabor wavelet representation for 3-D object recognition
IEEE Transactions on Image Processing
Optimal reconstruction of images from localized phase
IEEE Transactions on Image Processing
Face authentication with Gabor information on deformable graphs
IEEE Transactions on Image Processing
Image Representation by Complex Cell Responses
Neural Computation
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We present an analysis of the representation of images as the magnitudes of their transform with complex-valued Gabor wavelets. Such a representation is very useful for image understanding purposes and serves as a model for an early stage of human visual processing. We show that if the sampling of the wavelet transform is appropriate then the reconstruction from the magnitudes is unique up to the sign for almost all images. We also present an iterative reconstruction algorithm derived from the ideas of the proof, which yields very good reconstruction up to the sign and minor numerical errors in the very low frequencies.