@InProceedings{MesquitaCele:2019:RoEfMe,
author = "Mesquita, Rustam and Celes, Waldemar",
affiliation = "{Tecgraf/PUC-Rio Institute} and {Tecgraf/PUC-Rio Institute}",
title = "Robust and effective method for automatic generation of
one-dimensional transfer functions",
booktitle = "Proceedings...",
year = "2019",
editor = "Oliveira, Luciano Rebou{\c{c}}as de and Sarder, Pinaki and Lage,
Marcos and Sadlo, Filip",
organization = "Conference on Graphics, Patterns and Images, 32. (SIBGRAPI)",
publisher = "IEEE Computer Society",
address = "Los Alamitos",
keywords = "transfer function, boundary detection, volume visualization.",
abstract = "In direct volume rendering, the use of transfer functions allows
the visualization of specific parts of the volume, revealing
significant structures such as boundaries between different
materials. To interactively specify an adequate transfer function
is a very challenging and time-consuming task. Besides, a user can
settle with a transfer function that does not reveal the overall
structure inside the volume. Hence, the importance of generating
adequate transfer functions automatically. Since Kindlmann and
Durkin's seminal work on the semi-automatic generation of transfer
functions, many research works have been conducted attempting to
improve their proposal. Despite some fine resulting
visualizations, many of these works aimed to diminish the problem
of boundary overlaps, in the data domain, by using two-dimensional
transfer functions, thus decreasing the focus on the automatic
generation and leaving to the user, again, the task to manually
isolate isosurfaces. Moreover, fine-tuning two-dimensional
transfer functions is less intuitive than adjusting
one-dimensional ones. This paper redirects Kindlmann and Durkin's
concepts of boundary characterization and proposes a new method to
automatically generate one-dimensional transfer functions, more
robust to boundary overlaps. This work also suggests a rendering
filter to isolate detected isosurfaces in the visualization.",
conference-location = "Rio de Janeiro, RJ, Brazil",
conference-year = "28-31 Oct. 2019",
doi = "10.1109/SIBGRAPI.2019.00021",
url = "http://dx.doi.org/10.1109/SIBGRAPI.2019.00021",
language = "en",
ibi = "8JMKD3MGPEW34M/3U2K2NL",
url = "http://urlib.net/ibi/8JMKD3MGPEW34M/3U2K2NL",
targetfile = "PID6125745.pdf",
urlaccessdate = "2024, Apr. 28"
}