Shape and range recovery from images of underwater environments

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

Abstract

Unmanned underwater vehicles require some sense of perception of the environment to success in carrying out their missions with some degree of autonomy. 'Perception based on visual cues' can tremendously enhance the performance of such vehicles. For example, the capability to determine the three-dimensional position or shape of a nearby object from two-dimensional images can be useful for localization, recognition, or obstacle avoidance. In this paper, we consider selected methods for determining the three-dimensional shape of, or range to, objects from two-dimensional images for application in the underwater domain. In contrast to techniques commonly used in land environments based on tracking points, lines, contours, or other isolated scene features, these methods rely on the information in the brightness patterns of the whole image. Selected experimental results are provided to demonstrate the concepts.

Original languageEnglish
Title of host publicationIEEE Sympsium on Autonomous Underwater Vehicle Technology
Place of PublicationPiscataway, NJ, United States
PublisherIEEE
Pages92-98
Number of pages7
StatePublished - Dec 1 1994
EventProceedings of the 1994 IEEE Symposium on Autonomous Underwater Vehicle Technology - Cambridge, MA, USA
Duration: Jul 19 1994Jul 20 1994

Other

OtherProceedings of the 1994 IEEE Symposium on Autonomous Underwater Vehicle Technology
CityCambridge, MA, USA
Period7/19/947/20/94

ASJC Scopus subject areas

  • Engineering(all)

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    Negahdaripour, S. (1994). Shape and range recovery from images of underwater environments. In IEEE Sympsium on Autonomous Underwater Vehicle Technology (pp. 92-98). IEEE.