Item


View-dependent information theory quality measures for pixel sampling and scene discretization in flatland

In this paper, we present view-dependent information theory quality measures for pixel sampling and scene discretization in flatland. The measures are based on a definition for the mutual information of a line, and have a purely geometrical basis. Several algorithms exploiting them are presented and compare well with an existing one based on depth differences

漏 Conference on Computer Graphics : Spring 2001, 2001, p. 173-180

IEEE

Author: Rigau Vilalta, Jaume
Feixas Feixas, Miquel
Bekaert, Philippe
Sbert, Mateu
Date: 2001
Abstract: In this paper, we present view-dependent information theory quality measures for pixel sampling and scene discretization in flatland. The measures are based on a definition for the mutual information of a line, and have a purely geometrical basis. Several algorithms exploiting them are presented and compare well with an existing one based on depth differences
Format: application/pdf
Citation: Rigau, J., Feixas, M., Bekaert, P., i Sbert, M. (2001). View-dependent information theory quality measures for pixel sampling and scene discretization in flatland. Conference on Computer Graphics : Spring 2001, 173 - 180. Recuperat 1 octubre 2010, a http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=945352
ISBN: 0-7695-1215-1
Document access: http://hdl.handle.net/10256/3064
Language: eng
Publisher: IEEE
Collection: Reproducci贸 digital del document publicat a: http://dx.doi.org/10.1109/SCCG.2001.945352
Articles publicats (D-IMA)
Is part of: 漏 Conference on Computer Graphics : Spring 2001, 2001, p. 173-180
Rights: Tots els drets reservats
Subject: Algorismes computacionals
Geometria computacional
Computer algorithms
Computational geometry
Title: View-dependent information theory quality measures for pixel sampling and scene discretization in flatland
Type: info:eu-repo/semantics/article
Repository: DUGiDocs

Subjects

Authors