A novel method for determination of best ordering direction for noisy point clouds

ÖZTÜRK M., HASIRCI Z.

International Symposium on INnovations in Intelligent SysTems and Applications, INISTA 2012, Trabzon, Türkiye, 2 - 04 Temmuz 2012 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/inista.2012.6246967
  • Basıldığı Şehir: Trabzon
  • Basıldığı Ülke: Türkiye
  • Anahtar Kelimeler: Curve reconstruction, point cloud, point ordering, regression axis
  • Karadeniz Teknik Üniversitesi Adresli: Evet

Özet

In this paper, we propose a method to determine the best regression axis to order the noisy points for curve reconstruction. The fundamental problem of the curve reconstruction is to order the data in most suitable way. We suggested a histogram based feature to be able to determine the goodness of the order for a regression line. The method developed by using the proposed feature tested on the some synesthetic data with different noise levels. This data was selected due to the eigenvector approach gave wrong results when obtaining regression line. The results showed that the proposed method is encouraging. © 2012 IEEE.