Face Recognition by Elastic Bunch Graph Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
A self-organizing map of sigma-pi units
Neurocomputing
What is the optimal architecture for visual information routing?
Neural Computation
Rapid correspondence finding in networks of cortical columns
ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part I
A Visual Object Recognition System Invariant to Scale and Rotation
ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part I
A gabor wavelet pyramid-based object detection algorithm
ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part II
Self-organization of topographic bilinear networks for invariant recognition
Neural Computation
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Object recognition in the presence of changing scale and orientation requires mechanisms to deal with the corresponding feature transformations. Using Gabor wavelets as example, we approach this problem in a correspondence-based setting. We present a mechanism for finding feature-to-feature matches between corresponding points in pairs of images taken at different scale and/or orientation (leaving out for the moment the problem of simultaneously finding point correspondences). The mechanism is based on a macro-columnar cortical model and dynamic links. We present tests of the ability of finding the correct feature transformation in spite of added noise.