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


Autoria(s): Rigau Vilalta, Jaume; Feixas Feixas, Miquel; Bekaert, Philippe; Sbert, Mateu
Data(s)

2001

Resumo

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

Formato

application/pdf

Identificador

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

0-7695-1215-1

http://hdl.handle.net/10256/3064

http://dx.doi.org/10.1109/SCCG.2001.945352

Idioma(s)

eng

Publicador

IEEE

Relação

Reproducció digital del document publicat a: http://dx.doi.org/10.1109/SCCG.2001.945352

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

Articles publicats (D-IMA)

Direitos

Tots els drets reservats

Palavras-Chave #Algorismes computacionals #Geometria computacional #Computer algorithms #Computational geometry
Tipo

info:eu-repo/semantics/article