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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

IEEE

Autor: Rigau Vilalta, Jaume
Feixas Feixas, Miquel
Bekaert, Philippe
Sbert, Mateu
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
Accés al document: http://hdl.handle.net/2072/94967
Llenguatge: eng
Editor: IEEE
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: Recercat

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