Feature Sensitive Three-Dimensional Point Cloud Simplification using Support Vector Regression

Contemporary three-dimensional (3D) scanning devices are characterized by high speed and resolution. They provide dense point clouds that contain abundant data about scanned objects and require computationally intensive and time consuming processing. On the other hand, point clouds usually contain a...

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Bibliographic Details
Main Authors: Veljko Markovic, Zivana Jakovljevic, Zoran Miljkovic
Format: Artigo
Language:Inglês
Published: Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek 2019-01-01
Series:Tehnički Vjesnik
Subjects:
3D scanning
3D data acquisition
point cloud simplification
support vector regression
Online Access:https://hrcak.srce.hr/file/325807
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