Performance of Genetic Algorithm 3-D PTV

• OHMI Kazuo

  大阪産業大学

Bibliographic Information

Other Title

• A210 遺伝アルゴリズムによる3次元PTVの性能評価
• イデン アルゴリズム ニ ヨル 3ジゲン PTV ノ セイノウ ヒョウカ

Abstract

The genetic algorithm using an advanced strategy is applied to the particle pairing process of the 3-D particle tracking velocimetry. More precisely, the algorithm is first applied to the epipolar line proximity analysis for establishing correspondence of particles pairs between two coinstantaneous stereoscopic particles images, in order to compute the 3-D coordinates of every individual particle. Then, the same principle of algorithm is applied for establishing correspondence of 3-D particles between two consecutive time steps. From the test results using synthetic particle images for stereoscopic PIV, the new strategy is found to work better than conventional particle pairing methods of 3-D particle tracking velocimetry.

Journal

• Journal of the Visualization Society of Japan

  Journal of the Visualization Society of Japan 24 (Supplement1), 195-198, 2004

  The Visualization Society of Japan

Keywords

• Visualization
• 3-D PTV
• Particle tracking velocimetry
• Particle pairing problem
• Genetic algorithm

Details

• CRID: 1390001204620106240
• NII Article ID: 10013272987
• NII Book ID: AN10374478
• DOI: 10.3154/jvs.24.supplement1_195
• ISSN: 1884037X
• ISSN: 09164731
• NDL BIB ID: 7030334
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I7030334
• Text Lang: ja
• Data Source:
  • JaLC
  • NDL
  • Crossref
  • CiNii Articles
• Abstract License Flag: Disallowed