Stochastic Analysis of Stereo Quantization Error

Jeffrey J. Rodriguez, J. K. Aggarwal

Research output: Contribution to journalArticlepeer-review

84 Scopus citations

Abstract

The designer of a stereo imaging system often needs to know how the various system parameters affect the range estimation error. The probability density function of the range estimation error and the expected value of the range error magnitude are derived in terms of the various design parameters. In addition, the relative range error is proposed as a better way of quantifying the range resolution of a stereo imaging system.

Original languageEnglish (US)
Pages (from-to)467-470
Number of pages4
JournalIEEE Transactions on Pattern Analysis and Machine Intelligence
Volume12
Issue number5
DOIs
StatePublished - May 1990
Externally publishedYes

Keywords

  • Estimation theory
  • image digitization
  • quantization error
  • stereoscopy

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Computational Theory and Mathematics
  • Artificial Intelligence
  • Applied Mathematics

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