@InProceedings{DornellesJung:2020:OnFrPi,
author = "Dornelles, Thiago and Jung, Claudio",
affiliation = "{Institute of Informatics - Federal University of Rio Grande do
Sul} and {Institute of Informatics - Federal University of Rio
Grande do Sul}",
title = "Online frame-to-model pipeline to 3D reconstruction with depth
cameras using RGB-D information",
booktitle = "Proceedings...",
year = "2020",
editor = "Musse, Soraia Raupp and Cesar Junior, Roberto Marcondes and
Pelechano, Nuria and Wang, Zhangyang (Atlas)",
organization = "Conference on Graphics, Patterns and Images, 33. (SIBGRAPI)",
publisher = "IEEE Computer Society",
address = "Los Alamitos",
keywords = "3D Reconstruction, Visual Odometry, RGBD Cameras,
Frame-to-Model.",
abstract = "This work presents an online pipeline for incremental 3D
reconstruction and 6-DoF camera pose estimation based on colored
point clouds captured by consumer RGB-D cameras. The proposed
approach combines geometric matching provided by the point cloud
with photometric matching provided by the color sensor through an
adaptive weighting scheme that avoids eventual misalignment errors
between RGB and depth data. Our experimental results indicate that
the 3D reconstructions achieved by the proposed scheme are
visually better or similar than a competitive approach.",
conference-location = "Porto de Galinhas (virtual)",
conference-year = "7-10 Nov. 2020",
doi = "10.1109/SIBGRAPI51738.2020.00026",
url = "http://dx.doi.org/10.1109/SIBGRAPI51738.2020.00026",
language = "en",
ibi = "8JMKD3MGPEW34M/43B97HH",
url = "http://urlib.net/ibi/8JMKD3MGPEW34M/43B97HH",
targetfile = "SIBGRAPI IEEE APPROVED.pdf",
urlaccessdate = "2024, Dec. 02"
}