View Dependent Information Theory Quality Measures in Flatland

نویسندگان

  • Jaume Rigau
  • Miquel Feixas
  • Mateu Sbert
چکیده

In this paper we present view dependent information theory quality measures for pixel sampling and scene meshing 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.

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تاریخ انتشار 2007