Feature extraction inspired by visual cortex mechanisms

Xing Du; Weiguo Gong; Weihong Li

doi:10.1117/12.852798

26 February 2010 Feature extraction inspired by visual cortex mechanisms

Xing Du, Weiguo Gong, Weihong Li

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.

Citation Download Citation

Xing Du, Weiguo Gong, and Weihong Li "Feature extraction inspired by visual cortex mechanisms", Proc. SPIE 7546, Second International Conference on Digital Image Processing, 75460M (26 February 2010); https://doi.org/10.1117/12.852798

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