Abstract
In this article it is made a study of the characterization capacity and synthesis of objects of the self-organizing neural models. These networks, by means of their competitive learning, try to preserve the topology of an input space. This capacity is being used for the representation of objects and their movement with topology preserving networks. We characterized the object to represent by means of the obtained maps and kept information solely on the coordinates and the colour from the neurons. From this information it is made the synthesis of the original images, applying mathematical morphology and simple filters on the information which it is had.
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References
Flórez, F., García, J.M., García, J., Hernández, A.: Representation of 2D Objects with a Topology Preserving Network. In: Proceedings of the 2nd International Workshop on Pattern Recognition in Information Systems (PRIS 2002), Alicante, pp. 267–276. ICEIS Press (2001)
Flórez, F., García, J.M., García, J., Hernández, A.: Hand Gesture Recognition Following the Dynamics of a Topology-Preserving Network. In: Proc. of the 5th IEEE Intern. Conference on Automatic Face and Gesture Recognition, pp. 318–323. IEEE, Inc, Washington (2001)
Fritzke, B.: A Growing Neural Gas Network Learns Topologies. In: Tesauro, G., Touretzky, D.S., Leen, T.K. (eds.) Advances in Neural Information Processing Systems 7, pp. 625–632. MIT Press, Cambridge (1995)
Kohonen, T.: Self-Organizing Maps. Springer, Heidelberg (1995)
Skarbek, W., Koschan, A.: Colour Image Segmentation - A Survey, Technical Report 94-32, Technical University Berlin. Octubre (1994)
Sonka, M., Hlavac, V., Boyle, R.: Image Processing, Analysis, and Machine Vision, 2nd edn. Brooks/Cole Publishing Company, California (1998)
Cédras, C., Shah, M.: Motion-based recognition: a survey. Image and Vision Computing 13(2), 129–155 (1995)
McKenna, S., Raja, Y., Gong, S.: Color Model Selection and Adaptation in Dynamic Scenes. In: European Conference on Computer Vision (1998)
Stern, H., Efros, B.: Adaptative Color Space Switching for Face Tracking in Multi-Colored Lighting Environments. In: Proceedings of the 5th International Conference on Automatic Face and Gesture Recognition, Washington (2002)
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© 2005 Springer-Verlag Berlin Heidelberg
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García, J., Flórez, F., García, J.M., Hernández, A. (2005). Characterization and Synthesis of Objects Using Growing Neural Gas. In: Cabestany, J., Prieto, A., Sandoval, F. (eds) Computational Intelligence and Bioinspired Systems. IWANN 2005. Lecture Notes in Computer Science, vol 3512. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11494669_77
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DOI: https://doi.org/10.1007/11494669_77
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-26208-4
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