International Journal of Engineering and Management Research (IJEMR)
  • Year: 2016
  • Volume: 6
  • Issue: 2

Analysis the Learning Approach for 3-D Surface Reconstruction from Point Clouds

  • Author:
  • Ravinder Kumar1, Kaushal Kishore2, Kamal Kumar Sharma3
  • Total Page Count: 3
  • Page Number: 815 to 817

1M. Tech, Department of E.C.E, ESEAR, Ambala (H.R), India

2Astistant Professor, Department of E.C.E, ESEAR, Ambala (H.R), India

3Director, Emax Group of Institutions, Ambala (H.R), India

Online published on 8 November, 2017.

Abstract

Surface reconstruction is to find a surface from a given finite set of geometric sample values. In many applications, the sample values are points. Reverse engineering of geometric shapes is the process of converting a large number of measured data points into a concise and consistent computer representation. The “feature points ”techniques are used to create mesh from the extraction points. The present work is to develop a system for image reconstruction from scattered cloud points.

Keywords

Surface reconstruction, feature point technique, Delaunay triangulation, Crust triangulation