3D object matching based on spherical Hilbert scanning

研究成果: Conference contribution

1 引用 (Scopus)

抜粋

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.

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

Other

Other2010 17th IEEE International Conference on Image Processing, ICIP 2010
Hong Kong
期間10/9/2610/9/29

    フィンガープリント

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

これを引用

Tong, C., & Kamata, S. (2010). 3D object matching based on spherical Hilbert scanning. : Proceedings - International Conference on Image Processing, ICIP (pp. 2941-2944). [5652180] https://doi.org/10.1109/ICIP.2010.5652180