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Heterogeneous Data Registration for 3D Underwater Scene Reconstruction
Thanh Huy Nguyen, Didier Gueriot, Jean-Marc Le Caillec, Christophe Sintes, Sylvie Daniel

Heterogeneous Data Registration for 3D Underwater Scene Reconstruction

Science & Mathematics Published 2017 Verification Pending

Overview & Synopsis

This paper addresses the heterogeneous data registration problem, which is one of the key features for any scene reconstruction and representation, especially for the underwater environment. In this study, we propose a registration method built around a 2D-to-3D feature-based approach that registers high-resolution side-scan sonar images with bathymetric data (topographic 3D point cloud) obtained by multibeam echosounder. This process enables us to achieve a global 3D mosaic of the studied underwater scene, which is informatively richer and more reliable than each individual dataset. Indeed, the interest of this data fusion representation is that it combines the benefits of using each sensor: bathymetric information provides the geometric structure of the sea-bottom, while sidescan sonar images contribute a complementary observation with better resolution of the sea-bottom reality (e.g. sedimentology, bottom-laying object, etc.)

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Document Information

Document Title Heterogeneous Data Registration for 3D Underwater Scene Reconstruction
Author / Organization Thanh Huy Nguyen, Didier Gueriot, Jean-Marc Le Caillec, Christophe Sintes, Sylvie Daniel
Subject & Discipline Multidisciplinary Academic Open Research
Categories Science & Mathematics
Publication Year 2017
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website HAL Open Science (hal.science)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-253824
Original Source Link Visit Source Page on hal.science »