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

Liangchen Lu, Jun Ohya

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publication2004 IEEE International Conference on Multimedia and Expo (ICME)
Pages839-842
Number of pages4
Publication statusPublished - 2004 Dec 1
Event2004 IEEE International Conference on Multimedia and Expo (ICME) - Taipei, Taiwan, Province of China
Duration: 2004 Jun 272004 Jun 30

Publication series

Name2004 IEEE International Conference on Multimedia and Expo (ICME)
Volume2

Conference

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

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ASJC Scopus subject areas

  • Engineering(all)

Cite this

Lu, L., & Ohya, J. (2004). Computer vision based analysis of the botanical tree's dynamical behaviors for the reproduction in virtual space. In 2004 IEEE International Conference on Multimedia and Expo (ICME) (pp. 839-842). (2004 IEEE International Conference on Multimedia and Expo (ICME); Vol. 2).