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ABSTRACT

Surface reconstrucion by means of AI

T. Podoba1, L. Tomsu1, K. Vlcek1, M. Heczko

Tomas Bata University in Zlín, Faculty of Applied Informatics, Czech Republic

The International Conference on Computational & Experimental Engineering and Sciences 2010, 15(4), 111-122. https://doi.org/10.3970/icces.2010.015.111

Abstract

Surface reconstruction based on chaotic systems or exactly given point clouds is very difficult area. Current algorithms such as Marching Cube or Voronoi Filtering do not use methods based on artificial intelligence. In this paper, we investigate solution of polygonal surface construction based on AI. The main purpose is to generate complex polygonal mesh structures based on strange attractors with fractal structure. Attractors have to be created as 4D objects using quaternion algebra or using methods of AI. Polygonal mesh can have different numbers of polygons because of iterative application of this system. Our main goal is to develop new faster algorithm to generate 3D structures and apply its optimized computational complexity for surface reconstruction and GPU benchmarking.

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APA Style
Podoba, T., Tomsu, L., Vlcek, K., Heczko, M. (2010). Surface reconstrucion by means of AI. The International Conference on Computational & Experimental Engineering and Sciences, 15(4), 111-122. https://doi.org/10.3970/icces.2010.015.111
Vancouver Style
Podoba T, Tomsu L, Vlcek K, Heczko M. Surface reconstrucion by means of AI. Int Conf Comput Exp Eng Sciences . 2010;15(4):111-122 https://doi.org/10.3970/icces.2010.015.111
IEEE Style
T. Podoba, L. Tomsu, K. Vlcek, and M. Heczko, “Surface reconstrucion by means of AI,” Int. Conf. Comput. Exp. Eng. Sciences , vol. 15, no. 4, pp. 111-122, 2010. https://doi.org/10.3970/icces.2010.015.111



cc Copyright © 2010 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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