Unique Signatures of Histograms for Local Surface Description
Abstract
This paper deals with local 3D descriptors for surface matching. First, we categorize existing methods into two classes: Signatures and Histograms . Then, by discussion and experiments alike, we point out the key issues of uniqueness and repeatability of the local reference frame. Based on these observations, we formulate a novel comprehensive proposal for surface representation, which encompasses a new unique and repeatable local reference frame as well as a new 3D descriptor. The latter lays at the intersection between Signatures and Histograms, so as to possibly achieve a better balance between descriptiveness and robustness. Experiments on publicly available datasets as well as on range scans obtained with Spacetime Stereo provide a thorough validation of our proposal.
Cite
Text
Tombari et al. "Unique Signatures of Histograms for Local Surface Description." European Conference on Computer Vision, 2010. doi:10.1007/978-3-642-15558-1_26Markdown
[Tombari et al. "Unique Signatures of Histograms for Local Surface Description." European Conference on Computer Vision, 2010.](https://mlanthology.org/eccv/2010/tombari2010eccv-unique/) doi:10.1007/978-3-642-15558-1_26BibTeX
@inproceedings{tombari2010eccv-unique,
title = {{Unique Signatures of Histograms for Local Surface Description}},
author = {Tombari, Federico and Salti, Samuele and Di Stefano, Luigi},
booktitle = {European Conference on Computer Vision},
year = {2010},
pages = {356-369},
doi = {10.1007/978-3-642-15558-1_26},
url = {https://mlanthology.org/eccv/2010/tombari2010eccv-unique/}
}