Computer vision based analysis of the botanical tree's dynamical behaviors for the reproduction in virtual space

Liangchen Lu*, Jun Ohya

*この研究の対応する著者

研究成果: Conference contribution

抄録

This paper deals with a method that analyzes a botanical tree's behaviors in real space by a computer vision approach so as to reproduce the analyzed behaviors in virtual space. Instead of applying unstable local tracking to the tree in a video sequence, we estimate the direction and strength of the wind that shakes the tree by a learning based method that classifies the input video sequence into one of the stored winds with different directions and strengths. In the learning phase, sample video sequences are used for constructing the Eigenspace and Fisherspace, which is obtained from Fisher discriminant analysis. In the classification phase, the input video sequence is compared with each of the stored sample sequences so that the direction and strength of the wind are estimated. An interpolation method improves the estimation accuracy. Experimental results demonstrate the effectiveness of the proposed method.

本文言語English
ホスト出版物のタイトル2004 IEEE International Conference on Multimedia and Expo (ICME)
ページ839-842
ページ数4
出版ステータスPublished - 2004
イベント2004 IEEE International Conference on Multimedia and Expo (ICME) - Taipei, Taiwan, Province of China
継続期間: 2004 6 272004 6 30

出版物シリーズ

名前2004 IEEE International Conference on Multimedia and Expo (ICME)
2

Conference

Conference2004 IEEE International Conference on Multimedia and Expo (ICME)
国/地域Taiwan, Province of China
CityTaipei
Period04/6/2704/6/30

ASJC Scopus subject areas

  • 工学(全般)

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