Stereo vision based motion parameter estimation

研究成果: Conference contribution

2 引用 (Scopus)

抜粋

The motion parameter estimation for a class of movements in the space by using stereo vision is considered by observing a group of points. The considered motion equation can cover a wide class of practical movements in the space. The observability of this class of movement is clarified. The estimation algorithm for the motion parameters which are all time-varying is developed based on the second method of Lyapunov. The assumptions about the perspective system are reasonable and have apparently physical interpretations. The proposed recursive algorithm requires minor a priori knowledge about the system. Experimental results show the proposed algorithm is effective even in the presence of measurement noises.

元の言語English
ホスト出版物のタイトルEmerging Intelligent Computing Technology and Applications
ホスト出版物のサブタイトルWith Aspects of Artificial Intelligence - 5th International Conference on Intelligent Computing, ICIC 2009, Proceedings
ページ371-380
ページ数10
DOI
出版物ステータスPublished - 2009 11 2
イベント5th International Conference on Intelligent Computing, ICIC 2009 - Ulsan, Korea, Republic of
継続期間: 2009 9 162009 9 19

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
5755 LNAI
ISSN(印刷物)0302-9743
ISSN(電子版)1611-3349

Conference

Conference5th International Conference on Intelligent Computing, ICIC 2009
Korea, Republic of
Ulsan
期間09/9/1609/9/19

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

フィンガープリント Stereo vision based motion parameter estimation' の研究トピックを掘り下げます。これらはともに一意のフィンガープリントを構成します。

  • これを引用

    Chen, X. (2009). Stereo vision based motion parameter estimation. : Emerging Intelligent Computing Technology and Applications: With Aspects of Artificial Intelligence - 5th International Conference on Intelligent Computing, ICIC 2009, Proceedings (pp. 371-380). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 巻数 5755 LNAI). https://doi.org/10.1007/978-3-642-04020-7_39