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Proceedings Paper

Indexed triangle strips optimization for real-time visualization using genetic algorithm: preliminary study
Author(s): Kiyoshi Tanaka; Shuichi Takano; Tatsuo Sugimura
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Paper Abstract

In this work we focus on the indexed triangle strips that is an extended representation of triangle strips to improve the efficiency for geometrical transformation of vertices, and present a method to construct optimum indexed triangle strips using Genetic Algorithm (GA) for real-time visualization. The main objective of this work is how to optimally construct indexed triangle strips by improving the ratio that reuses the data stored in the cash memory and simultaneously reducing the total index numbers with GA. Simulation results verify that the average index numbers and cache miss ratio per polygon cold be small, and consequently the total visualization time required for the optimum solution obtained by this scheme could be remarkably reduced.

Paper Details

Date Published: 11 October 2000
PDF: 11 pages
Proc. SPIE 4210, Internet Multimedia Management Systems, (11 October 2000); doi: 10.1117/12.403803
Show Author Affiliations
Kiyoshi Tanaka, Shinshu Univ. (Japan)
Shuichi Takano, Polyphony Digital Inc. (Japan)
Tatsuo Sugimura, Shinshu Univ. (Japan)

Published in SPIE Proceedings Vol. 4210:
Internet Multimedia Management Systems
John R. Smith; Chinh Le; Sethuraman Panchanathan; C.-C. Jay Kuo, Editor(s)

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