A Simplified Visual Cortex Model for Efficient Image Codding and Object Recognition

  • Rafał KozikEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 233)


In this article a simplified model of biologically inspired mechanisms for an object recognition is presented. The proposed approach is based on the HMAX hierarchical cortex model that was proposed by Riesenhuber and Poggio [1] and later extended by Serre et al [2]. The work described in this paper is an extension of a previous research [3, 4, 5, 6] focused on a computer vision software (named SMAS - Stereovision Mobility Aid System) dedicated for visually impaired persons. Therefore, the emphasis here is put on a one-class detection problem of dangerous objects with the possibility of a future deployment of the proposed solution on a mobile device. The conducted experiments show that the introduced modifications of the hierarchical HMAX model allows for an efficient feature extraction and a visual information coding without decreasing the effectiveness of an object detection process.


Object Recognition Simple Cell Blind Person Direction Unit Impaired Person 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.Institute of TelecommunicationsUT&LS BydgoszczBydgoszczPoland

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