Publication detail

Building Triangle Strips Using Hopfield Neural Network

POSPÍŠIL, D., ZBOŘIL, F.

Original Title

Building Triangle Strips Using Hopfield Neural Network

English Title

Building Triangle Strips Using Hopfield Neural Network

Type

conference paper

Language

en

Original Abstract

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.

English abstract

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.

Keywords

Visualization, triangle strips, Hopfield neural network

Released

22.09.2004

Publisher

Faculty of Electrical Engineering and Informatics, University of Technology Košice

Location

Košice

ISBN

80-8073-150-0

Book

Proceedings of the Sixth International Scientific Conference ECI 2004

Pages from

394

Pages to

398

Pages count

5

Documents

BibTex


@inproceedings{BUT21439,
  author="Dominik {Pospíšil} and František {Zbořil}",
  title="Building Triangle Strips Using Hopfield Neural Network",
  annote="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.",
  address="Faculty of Electrical Engineering and Informatics, University of Technology Košice",
  booktitle="Proceedings of the Sixth International Scientific Conference ECI 2004",
  chapter="21439",
  institution="Faculty of Electrical Engineering and Informatics, University of Technology Košice",
  year="2004",
  month="september",
  pages="394--398",
  publisher="Faculty of Electrical Engineering and Informatics, University of Technology Košice",
  type="conference paper"
}