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
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;
Conference_Titel :
ICCAS-SICE, 2009
Conference_Location :
Fukuoka
Print_ISBN :
978-4-907764-34-0
Electronic_ISBN :
978-4-907764-33-3
