Detail publikace

Building Triangle Strips Using Hopfield Neural Network

POSPÍŠIL, D., ZBOŘIL, F.

Originální název

Building Triangle Strips Using Hopfield Neural Network

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

The most common way to visualize three dimensional data in graphics systems is to use triangles. Firstly, the data is converted to a set of triangles. Each time the visualization is accomplished this set is sent to graphics hardware repeatedly. The speed of final visualization is limited by the rate at which the data is sent to hardware. The responsiveness of interactive applications such as virtual reality, games, etc. is highly sensitive to visualization speed. Therefore, it is crucial to optimize visualized data to reduce rendering time. One of the way to optimize rendered data supported by current graphics pipelines is to use triangle strips. Constructing optimal set of triangle strips is NP-complete problem. This paper deals with constructing such primitives using Hopfield neural network.

Klíčová slova

Visualization, triangle strips, Hopfield neural network

Autoři

POSPÍŠIL, D., ZBOŘIL, F.

Vydáno

22. 9. 2004

Nakladatel

Faculty of Electrical Engineering and Informatics, University of Technology Košice

Místo

Košice

ISBN

80-8073-150-0

Kniha

Proceedings of the Sixth International Scientific Conference ECI 2004

Strany od

394

Strany do

398

Strany počet

5

BibTex

@inproceedings{BUT21439,
  author="Dominik {Pospíšil} and František {Zbořil}",
  title="Building Triangle Strips Using Hopfield Neural Network",
  booktitle="Proceedings of the Sixth International Scientific Conference ECI 2004",
  year="2004",
  pages="394--398",
  publisher="Faculty of Electrical Engineering and Informatics, University of Technology Košice",
  address="Košice",
  isbn="80-8073-150-0"
}