Ítem


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

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

IEEE

Autor: Rigau Vilalta, Jaume
Feixas Feixas, Miquel
Bekaert, Philippe
Sbert, Mateu
Data: 2001
Resum: 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
Cita: 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
Accés al document: http://hdl.handle.net/10256/3064
Llenguatge: eng
Editor: IEEE
Col·lecció: Reproducció digital del document publicat a: http://dx.doi.org/10.1109/SCCG.2001.945352
Articles publicats (D-IMA)
És part de: © Conference on Computer Graphics : Spring 2001, 2001, p. 173-180
Drets: Tots els drets reservats
Matèria: Algorismes computacionals
Geometria computacional
Computer algorithms
Computational geometry
Títol: View-dependent information theory quality measures for pixel sampling and scene discretization in flatland
Tipus: info:eu-repo/semantics/article
Repositori: DUGiDocs

Matèries

Autors