Three-DoF pose estimation of asteroids by appearance-based linear regression with divided parameter space

Naoki Kobayashi, Yuji Oyamada, Yoshihiko Mochizuki, Hiroshi Ishikawa

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

We present an appearance-based linear regression method for pose estimation from a single image of an asteroid, which can have any pose in the full space of three degree-of-freedom rotation parameters. The method is characterized by its division of the parameter space into multiple regions. Given a large number of training images with known pose parameters, we learn the relationship between the images and the pose parameters, separately for each parameter region, using the standard linear pose estimation. We also create a common subspace such that, when projected to it, the difference between images in the same parameter region tends to collapse. In estimating the pose of an input image, we project it onto the common subspace to determine the parameter region. We apply the method for pose estimation from asteroid images and report the experimental results.

本文言語English
ホスト出版物のタイトルProceedings of the 14th IAPR International Conference on Machine Vision Applications, MVA 2015
出版社Institute of Electrical and Electronics Engineers Inc.
ページ551-554
ページ数4
ISBN(電子版)9784901122153
DOI
出版ステータスPublished - 2015 7 8
イベント14th IAPR International Conference on Machine Vision Applications, MVA 2015 - Tokyo, Japan
継続期間: 2015 5 182015 5 22

出版物シリーズ

名前Proceedings of the 14th IAPR International Conference on Machine Vision Applications, MVA 2015

Other

Other14th IAPR International Conference on Machine Vision Applications, MVA 2015
国/地域Japan
CityTokyo
Period15/5/1815/5/22

ASJC Scopus subject areas

  • コンピュータ サイエンスの応用
  • コンピュータ ビジョンおよびパターン認識

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