Abstract
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.
This work has been supported in the context of the MOBIUS project, of the EEC MArine Science Technology (MAST) programme. The authors wish to thank Thomson CSF-LER and Thomson Sintra ASM, for providing the images for the underwater application, and Prof. Takeo Kanade for the valuable comments made on this work.
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© 1992 Springer-Verlag London Limited
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Santos-Victor, J., Sentieiro, J. (1992). Generation of 3D Dense Depth Maps by Dynamic Vision. In: Hogg, D., Boyle, R. (eds) BMVC92. Springer, London. https://doi.org/10.1007/978-1-4471-3201-1_14
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DOI: https://doi.org/10.1007/978-1-4471-3201-1_14
Publisher Name: Springer, London
Print ISBN: 978-3-540-19777-5
Online ISBN: 978-1-4471-3201-1
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