DenseMatch: a dataset for real-time 3D reconstruction

We provide a database aimed at real-time quantitative analysis of 3D reconstruction and alignment methods, containing 3140 point clouds from 10 subjects/objects. These scenes are acquired with a high-resolution 3D scanner. It contains depth maps that produce point clouds with more than 500k points o...

Descripción completa

Detalles Bibliográficos
Autores principales: Lombardi, Marco, Savardi, Mattia, Signoroni, Alberto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Data Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8529091/
https://www.ncbi.nlm.nih.gov/pubmed/34712753
http://dx.doi.org/10.1016/j.dib.2021.107476
Descripción
Sumario:We provide a database aimed at real-time quantitative analysis of 3D reconstruction and alignment methods, containing 3140 point clouds from 10 subjects/objects. These scenes are acquired with a high-resolution 3D scanner. It contains depth maps that produce point clouds with more than 500k points on average. This dataset is useful to develop new models and alignment strategies to automatically reconstruct 3D scenes from data acquired with optical scanners or benchmarking purposes.

Ejemplares similares