Quantization error in stereo imaging.

Jeffrey J. Rodriguez, J. K. Aggarwal

Research output: Chapter in Book/Report/Conference proceedingConference contribution

29 Scopus citations

Abstract

In the design of a stereo imaging system, one often chooses the parameters to meet a desired error level. 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. The relative range error is proposed as a better way of quantifying the range resolution of a stereo imaging system.

Original languageEnglish (US)
Title of host publicationProc CVPR 88 Comput Soc Conf on Comput Vision and Pattern Recognit
PublisherPubl by IEEE
Pages153-158
Number of pages6
ISBN (Print)0818608625
StatePublished - Dec 1 1988
Externally publishedYes

Publication series

NameProc CVPR 88 Comput Soc Conf on Comput Vision and Pattern Recognit

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Rodriguez, J. J., & Aggarwal, J. K. (1988). Quantization error in stereo imaging. In Proc CVPR 88 Comput Soc Conf on Comput Vision and Pattern Recognit (pp. 153-158). (Proc CVPR 88 Comput Soc Conf on Comput Vision and Pattern Recognit). Publ by IEEE.