遺伝アルゴリズムによる3次元PTVの性能評価 Performance of Genetic Algorithm 3-D PTV

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抄録

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.

収録刊行物

  • 可視化情報学会誌. Suppl.

    可視化情報学会誌. Suppl. 24(1), 195-198, 2004-07-01

    社団法人 可視化情報学会

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各種コード

  • NII論文ID(NAID)
    10013272987
  • NII書誌ID(NCID)
    AA11907562
  • 本文言語コード
    JPN
  • 資料種別
    SHO
  • ISSN
    09164731
  • NDL 記事登録ID
    7030334
  • NDL 雑誌分類
    ZM35(科学技術--物理学)
  • NDL 請求記号
    Z15-431
  • データ提供元
    CJP書誌  NDL  J-STAGE 
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