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Computer Vision Applications of Self-Organizing Neural Networks

Computer Vision Applications of Self-Organizing Neural Networks

José García-Rodríguez, Juan Manuel García-Chamizo, Sergio Orts-Escolano, Vicente Morell-Gimenez, José Antonio Serra-Pérez, Anatassia Angelolopoulou, Alexandra Psarrou, Miguel Cazorla, Diego Viejo
Copyright: © 2013 |Pages: 10
ISBN13: 9781466626720|ISBN10: 1466626720|EISBN13: 9781466627031
DOI: 10.4018/978-1-4666-2672-0.ch008
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MLA

García-Rodríguez, José, et al. "Computer Vision Applications of Self-Organizing Neural Networks." Robotic Vision: Technologies for Machine Learning and Vision Applications, edited by Jose Garcia-Rodriguez and Miguel A. Cazorla Quevedo, IGI Global, 2013, pp. 129-138. https://doi.org/10.4018/978-1-4666-2672-0.ch008

APA

García-Rodríguez, J., García-Chamizo, J. M., Orts-Escolano, S., Morell-Gimenez, V., Serra-Pérez, J. A., Angelolopoulou, A., Psarrou, A., Cazorla, M., & Viejo, D. (2013). Computer Vision Applications of Self-Organizing Neural Networks. In J. Garcia-Rodriguez & M. Cazorla Quevedo (Eds.), Robotic Vision: Technologies for Machine Learning and Vision Applications (pp. 129-138). IGI Global. https://doi.org/10.4018/978-1-4666-2672-0.ch008

Chicago

García-Rodríguez, José, et al. "Computer Vision Applications of Self-Organizing Neural Networks." In Robotic Vision: Technologies for Machine Learning and Vision Applications, edited by Jose Garcia-Rodriguez and Miguel A. Cazorla Quevedo, 129-138. Hershey, PA: IGI Global, 2013. https://doi.org/10.4018/978-1-4666-2672-0.ch008

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Abstract

This chapter aims to address the ability of self-organizing neural network models to manage video and image processing in real-time. The Growing Neural Gas networks (GNG) with its attributes of growth, flexibility, rapid adaptation, and excellent quality representation of the input space makes it a suitable model for real time applications. A number of applications are presented, including: image compression, hand and medical image contours representation, surveillance systems, hand gesture recognition systems, and 3D data reconstruction.

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