132 時間軸情報によるバネモデル粒子追跡法

• 岡本 孝司

  東京大学

• 小泉 雅樹

  東京大学

• 班目 春樹

  東京大学

書誌事項

タイトル別名

• Spring Model Particle Tracking Algorithm using Temporal Information
• ジカンジク ジョウホウ ニヨル バネ モデル リュウシ ツイセキホウ

抄録

The authors proposed a new algorithm for particle tracking, called the Spring Model technique. The algorithm can be applied to flow fields which exhibit characteristics such as rotation, shear and expansion. However, when the particle displacement between two images are too large, the particle could not tracked correctly because of the large distortion.<BR>In this study, to improve the applicability of the Spring Model technique, the information of the several serial images were analyzed. With using the temporal information, the miss matching could be eliminated, resulting in the high accurate tracking even in the large displacement. The effectiveness of the improved Spring Model technique was demonstrated using the actual images of the free surface turbulence.

収録刊行物

• 可視化情報学会誌

  可視化情報学会誌 16 (1Supplement), 227-230, 1996

  社団法人 可視化情報学会

詳細情報

• CRID: 1390282679595101056
• NII論文ID: 10002674196
• NII論文ID: 130003443164
• NII書誌ID: AN10374478
• DOI: 10.3154/jvs.16.1supplement_227
• ISSN: 1884037X
• ISSN: 09164731
• NDL書誌ID: 3993938
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I3993938
• 本文言語コード: ja
• データソース種別:
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• 抄録ライセンスフラグ: 使用不可