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

arXiv: https://arxiv.org/abs/2110.15179 · HTML: https://mlsanity.com/paper/2110.15179/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 0 of its 8 references that are in the map.
- First posted on arXiv 28 Oct 2021.

## Abstract (arXiv)

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.