@InProceedings{MesquitaCampNasc:2015:MeObSu,
author = "Mesquita, Daniel Balbino de and Campos, Mario Fernando Montenegro
and Nascimento, Erickson Rangel do",
affiliation = "{Universidade Federal de Minas Gerais} and {Universidade Federal
de Minas Gerais} and {Universidade Federal de Minas Gerais}",
title = "A Methodology for Obtaining Super-Resolution Images and Depth Maps
from RGB-D Data",
booktitle = "Proceedings...",
year = "2015",
editor = "Segundo, Maur{\'{\i}}cio Pamplona and Faria, Fabio Augusto",
organization = "Conference on Graphics, Patterns and Images, 28. (SIBGRAPI)",
publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
address = "Porto Alegre",
keywords = "super-resolution, convex optimization, RGB-D data, 3D
reconstruction, computer vision.",
abstract = "The emergence of low cost sensors capable of providing texture and
depth information of a scene is enabling the deployment of several
applications such as gesture and object recognition and
three-dimensional reconstruction of environments. However,
commercially available sensors output low resolution data, which
may not be suitable when more detailed information is necessary.
With the purpose of increasing data resolution, at the same time
reducing noise and filling the holes in the depth maps, in this
work we propose a method that combines depth fusion and image
reconstruction in a super-resolution framework. By joining
low-resolution intensity images and depth maps in an optimization
process, our methodology creates new images and depth maps of
higher resolution and, at the same time, minimizes issues related
with the absence of information (holes) in the depth map. Our
experiments show that the proposed approach has increased the
resolution of the images and depth maps without significant
spawning of artifacts. Considering three different evaluation
metrics, our methodology outperformed other three techniques
commonly used to increase the resolution of combined images and
depth maps acquired with low resolution, commercially available
sensors.",
conference-location = "Salvador, BA, Brazil",
conference-year = "26-29 Aug. 2015",
language = "en",
ibi = "8JMKD3MGPBW34M/3K2HFE8",
url = "http://urlib.net/ibi/8JMKD3MGPBW34M/3K2HFE8",
targetfile = "sibgrapi_2015_wtd_rgbd_superresolution_camera_ready.pdf",
urlaccessdate = "2024, May 02"
}