Robust motion and correspondence of noisy 3-D point sets with missing data

Emanuele Trucco, Andrea Fusiello, Vito Roberto

Research output: Contribution to journalArticle

72 Citations (Scopus)

Abstract

We describe RICP, a robust algorithm for registering and finding correspondences in sets of 3-D points with significant percentages of missing data, and therefore useful for both motion analysis and reverse engineering. RICP exploits LMedS robust estimation to withstand the effect of outliers. Our extensive experimental comparison of RICP with ICP shows RICP's superior robustness and reliability. © 1999 Elsevier Science B.V.

Original languageEnglish
Pages (from-to)889-898
Number of pages10
JournalPattern Recognition Letters
Volume20
Issue number9
Publication statusPublished - 20 Sep 1999

Keywords

  • CAD-based vision
  • ICP
  • Motion estimation
  • Registration
  • Reverse engineering

Fingerprint Dive into the research topics of 'Robust motion and correspondence of noisy 3-D point sets with missing data'. Together they form a unique fingerprint.

  • Cite this

    Trucco, E., Fusiello, A., & Roberto, V. (1999). Robust motion and correspondence of noisy 3-D point sets with missing data. Pattern Recognition Letters, 20(9), 889-898.