Practical Considerations for Implementing ICP Registration Algorithms in a 360◦ 3D Point Cloud Stitching System


Practical Considerations for Implementing ICP Registration Algorithms in a 360◦ 3D Point Cloud Stitching System
Published in:	Innovation in Education and Inclusion : Proceedings of the 16th LACCEI International Multi-Conference for Engineering, Education and Technology
Date of Conference:	July 18-20, 2018
Location of Conference:	Lima, Perú
Authors:	Jesús Sanchez-Perez (Universidad de Puerto Rico - Mayagüez, PR) Enrique Torres-Rivera (Universidad de Puerto Rico - Mayagüez, PR) Manuel Jimenez (Universidad de Puerto Rico - Mayagüez, PR) Nayda Santiago(Universidad de Puerto Rico - Mayagüez, PR)
Full Paper:	#62

Abstract: This paper presents the implementation of a point cloud stitching system to produce 360◦ 3D images from individual, partial views of a solid model. Performance analyses support the decision-making process to select the best performance parameters for the chosen iterative closest point (ICP) registration algorithm. The analysis outcomes lead to interesting findings about two well-known ICP variants, and provide useful implementation guidelines for developing a practical 360◦ 3D scanning system.