3D object matching based on spherical Hilbert scanning

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

This paper describes a novel method to match objects in cluttered scenes. This method makes use of Hilbert scanning of feature points in Hough space. We use a 3D Hough transform to obtain a spectrum on which 3D features are concentrated on the sphere. Then, based on the obtained Hough Spectrum, we apply Hilbert scanning on the sphere to match the objects. Using this approach, we can match the object correctly and robustly in both overlapping and noise situation. The characteristic of this method is that it is a global matching method without an estimate of the rotation first and suffering from computational complexity brought by voting/correlation procedure. The experiment results show that the method is more effective compared to existing methods in both matching rate and robustness.

本文言語English
ホスト出版物のタイトル2010 IEEE International Conference on Image Processing, ICIP 2010 - Proceedings
ページ2941-2944
ページ数4
DOI
出版ステータスPublished - 2010 12 1
イベント2010 17th IEEE International Conference on Image Processing, ICIP 2010 - Hong Kong, Hong Kong
継続期間: 2010 9 262010 9 29

出版物シリーズ

名前Proceedings - International Conference on Image Processing, ICIP
ISSN(印刷版)1522-4880

Conference

Conference2010 17th IEEE International Conference on Image Processing, ICIP 2010
CountryHong Kong
CityHong Kong
Period10/9/2610/9/29

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

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