• DocumentCode
    504385
  • Title

    Attitude motion estimation using semisupervised dimensionality reduction

  • Author

    Joko, Masao ; Yairi, Takehisa ; Machida, Kazuo

  • Author_Institution
    Dept. of Aerosp. Eng., Univ. of Tokyo, Tokyo, Japan
  • fYear
    2009
  • fDate
    18-21 Aug. 2009
  • Firstpage
    3995
  • Lastpage
    4000
  • Abstract
    In this paper, we use semisupervised dimensionality reduction to estimate the attitude motion of the target. The experimental results show that we can achieve the attitude motion estimation of the target from only the images even if we can´t recognize the feature markers in the images of the target and doesn´t know the observation model.
  • Keywords
    aerospace computing; data reduction; feature extraction; learning (artificial intelligence); motion estimation; attitude target motion estimation; feature marker recognition; semisupervised dimensionality reduction; Filters; Image recognition; Laplace equations; Linearity; Motion estimation; Satellites; State-space methods; Target recognition; Target tracking; Dimensionality Reduction; LELVM; Semisupervised alignment of manifolds;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    ICCAS-SICE, 2009
  • Conference_Location
    Fukuoka
  • Print_ISBN
    978-4-907764-34-0
  • Electronic_ISBN
    978-4-907764-33-3
  • Type

    conf

  • Filename
    5333265
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=504385