Dictionary of features in a biologically inspired approach to image classification

Authors:
Sepehr Jalali;Joo Hwee Lim;Sim Heng Ong;Jo Yew Tham
Affiliations:
Institute for Infocomm Research, Connexis, Singapore and National University of Singapore, Singapore;Institute for Infocomm Research, Connexis, Singapore and National University of Singapore, Singapore;Institute for Infocomm Research, Connexis, Singapore and National University of Singapore, Singapore;Institute for Infocomm Research, Connexis, Singapore and National University of Singapore, Singapore
Venue:
ICONIP'10 Proceedings of the 17th international conference on Neural information processing: models and applications - Volume Part II
Year:
2010

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Abstract

We introduce new methods for creation of a dictionary of features for a biologically inspired model of visual object classification that is shown to handle the recognition of several object categories. We provide a new method for creation of this features dictionary using nonsupervised cortex like methods. Different clustering approaches were experimented and improved performance is achieved on image centers which results in real time classification of images by HMAX model.