A Robust Pipeline for Rapid Feature-Based Pre-Alignment of Dense Range Scans
Abstract
Aiming at reaching an interactive and simplified usage of high-resolution 3D acquisition systems, this paper presents a fast and automated technique for pre-alignment of dense range images. Starting from a multi-scale feature point ex- traction and description, a processing chain composed by feature matching and correspondence searching, ranking grouping and skimming is performed to select the most re- liable correspondences over which the correct alignment is estimated. Pre-alignment is obtained in few seconds per million point images on a off-the-shelf PC architecture. The experimental setup aimed to demonstrate the system behav- ior with respect to a set of concurrent requirements and the obtained performance are significant in the perspective of a fast, robust and unconstrained 3D object reconstruction.
Cite
Text
Bonarrigo et al. "A Robust Pipeline for Rapid Feature-Based Pre-Alignment of Dense Range Scans." IEEE/CVF International Conference on Computer Vision, 2011. doi:10.1109/ICCV.2011.6126505Markdown
[Bonarrigo et al. "A Robust Pipeline for Rapid Feature-Based Pre-Alignment of Dense Range Scans." IEEE/CVF International Conference on Computer Vision, 2011.](https://mlanthology.org/iccv/2011/bonarrigo2011iccv-robust/) doi:10.1109/ICCV.2011.6126505BibTeX
@inproceedings{bonarrigo2011iccv-robust,
title = {{A Robust Pipeline for Rapid Feature-Based Pre-Alignment of Dense Range Scans}},
author = {Bonarrigo, Francesco and Signoroni, Alberto and Leonardi, Riccardo},
booktitle = {IEEE/CVF International Conference on Computer Vision},
year = {2011},
pages = {2260-2267},
doi = {10.1109/ICCV.2011.6126505},
url = {https://mlanthology.org/iccv/2011/bonarrigo2011iccv-robust/}
}