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arXiv · 2110.15179

A Comparative Study of Coarse to Dense 3D Indoor Scene Registration Algorithms

Abdenour Amamra·Khalid Boumaza
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Abstract

3D alignment has become a very important part of 3D scanning technology. For instance, we can divide the alignment process into four steps: key point detection, key point description, initial pose estimation, and alignment refinement. Researchers have contributed several approaches to the literature for each step, which suggests a natural need for a comparative study for an educated more appropriate choice. In this work, we propose a description and an evaluation of the different methods used for 3D registration with special focus on RGB-D data to find the best combinations that permit a complete and more accurate 3D reconstruction of indoor scenes with cheap depth cameras.

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Abdenour Amamra, Khalid Boumaza. 2021-10-28. A Comparative Study of Coarse to Dense 3D Indoor Scene Registration Algorithms. https://doi.org/10.1109/icaee47123.2019.9014836

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