Point Cloud Merging for Complete 3D Surface Reconstruction

Authors

  • V. Matiukas Vilnius Gediminas Technical University
  • D. Miniotas Vilnius Gediminas Technical University

DOI:

https://doi.org/10.5755/j01.eee.113.7.616

Abstract

This article addresses the problem of reconstructing 3D surfaces from unorganized point sets (also known as point clouds). Thisissue is common to many different areas of science and engineering, including computer graphics and computer vision. Unorganizedpoint sets can be acquired in different ways, e.g., using laser scanners, computer tomography, magnetic resonance imaging, multicameravision systems, etc. This paper presents a method for point cloud merging that allows calculating the initial rotation andtranslation between point clouds of different viewing angles. By tracking the marker's position, scanning and point cloud registrationcan be done in real time and with high accuracy. Ill. 7, bibl. 11 (in English; abstracts in English and Lithuanian).

http://dx.doi.org/10.5755/j01.eee.113.7.616

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Published

2011-09-05

How to Cite

Matiukas, V., & Miniotas, D. (2011). Point Cloud Merging for Complete 3D Surface Reconstruction. Elektronika Ir Elektrotechnika, 113(7), 73-76. https://doi.org/10.5755/j01.eee.113.7.616

Issue

Vol. 113 No. 7 (2011)

Section

SYSTEM ENGINEERING, COMPUTER TECHNOLOGY

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