Overcomplete Image Representations for Texture Analysis

Authors

  • Rodrigo Nava Posgrado en Ciencia e Ingeniería de la Computación, Universidad Nacional Autónoma de México

Abstract

In recent years, computer vision has played an important role in many scientific and technological areas mainlybecause modern society highlights vision over other senses. At the same time, application requirements and complexity have also increased so that in many cases the optimal solution depends on the intrinsic charac-teristics of the problem; therefore, it is difficult to propose a universal image model. In parallel, advances in understanding the human visual system have allowed to propose sophisticated models that incorporate simple phenomena which occur in early stages of the visual system. This dissertation aims to investigate characteristicsof vision such as over-representation and orientation of receptive fields in order to propose bio-inspired image models for texture analysis

Keywords

Gabor filters, Local Binary patterns, bio-inspired models

Author Biography

Rodrigo Nava, Posgrado en Ciencia e Ingeniería de la Computación, Universidad Nacional Autónoma de México

Rodrigo Nava was born in Mexico City. He obtained the Bachelor of Computer Engineering degree in 2004; the Master ofComputer Science and Engineering degree in 2007; and the Doctor of Engineering degree in 2013, all with honors, from theUniversidad Nacional Autónoma de México. His research interests include bio-inspired image models, image fusion, andwavelets

Published

2014-06-07

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