@InProceedings{MatiasOlivGonç:2001:EnVoAp,
author = "Matias, Italo de Oliveira and Oliveira, Antonio A. F. and
Gon{\c{c}}alves, Luiz M. G.",
title = "Enhancing the volumetric approach to stereo matching",
booktitle = "Proceedings...",
year = "2001",
editor = "Borges, Leandro D{\'{\i}}bio and Wu, Shin-Ting",
pages = "218--225",
organization = "Brazilian Symposium on Computer Graphics and Image Processing, 14.
(SIBGRAPI)",
publisher = "IEEE Computer Society",
address = "Los Alamitos",
note = "The conference was held in Florian{\'o}polis, SC, Brazil, from
October 15 to 18.",
keywords = "stereo vision, matching, dynamical programming.",
abstract = "We propose techniques to enhance the volumetric approach to stereo
matching [9, 10, 11], with which to obtain dense disparity and
detect occluded zones. The volumetric approach works on the row x
column x disparity space initializing the voxels with a measure of
the similarity between the stereo pair that they represent
(Similarity Phase). In this phase, we propose a function Lo that
provides a better initial estimation for disparity. Then, these
values are refined through an iterative process which inhibits all
but one voxels placed along the same line of sight (Competition
Phase).In this phase, we propose to use a Dynamical Programming
technique for faster converging to the final solution and
producing smoother maps. We substantially reduce the
proportionality constant of the original algorithm complexity,
enhancing time without strongly influencing the results.",
conference-location = "Florian{\'o}polis, SC, Brazil",
conference-year = "15-18 Oct. 2001",
doi = "10.1109/SIBGRAPI.2001.963058",
url = "http://dx.doi.org/10.1109/SIBGRAPI.2001.963058",
language = "en",
organisation = "SBC - Brazilian Computer Society",
ibi = "6qtX3pFwXQZeBBx/wkA3C",
url = "http://urlib.net/ibi/6qtX3pFwXQZeBBx/wkA3C",
targetfile = "218-225.pdf",
urlaccessdate = "2024, May 02"
}