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- Title
Point Cloud Merging for Complete 3D Surface Reconstruction.
- Authors
Matiukas, V.; Miniotas, D.
- Abstract
This article addresses the problem of reconstructing 3D surfaces from unorganized point sets (also known as point clouds). This issue is common to many different areas of science and engineering, including computer graphics and computer vision. Unorganized point sets can be acquired in different ways, e.g., using laser scanners, computer tomography, magnetic resonance imaging, multi-camera vision systems, etc. This paper presents a method for point cloud merging that allows calculating the initial rotation and translation between point clouds of different viewing angles. By tracking the marker's position, scanning and point cloud registration can be done in real time and with high accuracy.
- Subjects
COMPUTER graphics; COMPUTER vision; SCANNING systems; MAGNETIC resonance imaging; ELECTRONIC systems; ENGINEERING graphics
- Publication
Electronics & Electrical Engineering, 2011, Issue 113, p73
- ISSN
1392-1215
- Publication type
Article