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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

Author: Rigau Vilalta, Jaume
Feixas Feixas, Miquel
Bekaert, Philippe
Sbert, Mateu
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
Document access: http://hdl.handle.net/2072/94967
Language: eng
Publisher: IEEE
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: Recercat

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