Indexed triangle strips optimization for real-time visualization using genetic algorithm: preliminary study

Kiyoshi Tanaka; Shuichi Takano; Tatsuo Sugimura

doi:10.1117/12.403803

11 October 2000 Indexed triangle strips optimization for real-time visualization using genetic algorithm: preliminary study

Kiyoshi Tanaka, Shuichi Takano, Tatsuo Sugimura

Author Affiliations +

Proceedings Volume 4210, Internet Multimedia Management Systems; (2000) https://doi.org/10.1117/12.403803
Event: Information Technologies 2000, 2000, Boston, MA, United States

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.

Citation Download Citation

Kiyoshi Tanaka, Shuichi Takano, and Tatsuo Sugimura "Indexed triangle strips optimization for real-time visualization using genetic algorithm: preliminary study", Proc. SPIE 4210, Internet Multimedia Management Systems, (11 October 2000); https://doi.org/10.1117/12.403803

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