BMVC92 pp 129-138 | Cite as

Generation of 3D Dense Depth Maps by Dynamic Vision

An Underwater Application
  • José Santos-Victor
  • João Sentieiro
Conference paper


This paper presents a dynamic 3D Vision system that is able to estimate dense depth maps from an image sequence. The depth maps computed at each time instant are used in an Extended Kaiman filtering structure, that integrates all depth measurements over time, reducing uncertainty. Results with images acquired by an underwater camera, are presented.


Extend Kalman Filter Camera Motion Autonomous Underwater Vehicle Depth Estimate Epipolar Line 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag London Limited 1992

Authors and Affiliations

  • José Santos-Victor
    • 1
  • João Sentieiro
    • 1
  1. 1.CAPS/ISR - Instituto Superior TécnicoLisboa CodexPortugal

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