26 February 2010 Feature extraction inspired by visual cortex mechanisms
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Proceedings Volume 7546, Second International Conference on Digital Image Processing; 75460M (2010) https://doi.org/10.1117/12.852798
Event: Second International Conference on Digital Image Processing, 2010, Singapore, Singapore
Abstract
Motivated by the mechanisms of mammalian primary visual cortex (V1), we propose a hierarchical model of feature extraction for object recognition. The proposed model consists of two layers, each of which emulates the functions of V1 simple cells and complex cells respectively. Filters learned from training images are applied at every position of the input image to get an edge feature representation. Then a maximum pooling operation is taken to increase shiftinvariance of the feature. Experiments on face recognition and crop-wise object detection show that our model is competitive with the state-of-the-art biologically-inspired method.
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Xing Du, Xing Du, Weiguo Gong, Weiguo Gong, Weihong Li, Weihong Li, } "Feature extraction inspired by visual cortex mechanisms", Proc. SPIE 7546, Second International Conference on Digital Image Processing, 75460M (26 February 2010); doi: 10.1117/12.852798; https://doi.org/10.1117/12.852798
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