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

dc.contributor.author
Rigau Vilalta, Jaume
dc.contributor.author
Feixas Feixas, Miquel
dc.contributor.author
Bekaert, Philippe
dc.contributor.author
Sbert, Mateu
dc.date.accessioned
2024-06-14T10:06:24Z
dc.date.available
2024-06-14T10:06:24Z
dc.date.issued
2001
dc.identifier
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
dc.identifier
http://hdl.handle.net/10256/3064
dc.identifier.uri
https://hdl.handle.net/10256/3064
dc.description.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
dc.format
application/pdf
dc.language
eng
dc.publisher
IEEE
dc.relation
info:eu-repo/semantics/altIdentifier/doi/10.1109/SCCG.2001.945352
dc.relation
info:eu-repo/semantics/altIdentifier/isbn/0-7695-1215-1
dc.rights
Tots els drets reservats
dc.rights
info:eu-repo/semantics/openAccess
dc.source
© Conference on Computer Graphics : Spring 2001, 2001, p. 173-180
dc.source
Articles publicats (D-IMA)
dc.subject
Algorismes computacionals
dc.subject
Geometria computacional
dc.subject
Computer algorithms
dc.subject
Computational geometry
dc.title
View-dependent information theory quality measures for pixel sampling and scene discretization in flatland
dc.type
info:eu-repo/semantics/article


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