The aim of the research is to find the most suitable method based on Machine Learning unsupervised learning techniques for reconstruction of interior and exterior 3D scans of original objects. The problem is to recreate surfaces from a given point cloud within the shortest possible time and with a given quality criteria.
Results of the research are presented in an article, published on insideBIGDATA, a popular news outlet that distills news, strategies, products and services in the world of Big Data for data scientists as well as IT and business professionals. insideBIGDATA focuses on big data, data science, AI, machine learning, and deep learning.
In this article Vip Fargo analyzes and compares results obtained with the usage of two self-organizing map types.
The research demonstrates that Self-Organizing Maps are suitable for 3D Surface Reconstruction. To get more information on these algorithms performance and check visual examples, download the full article on insideBIGDATA.
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