FN Archimer Export Format
PT C
TI Vision-based 3D Reconstruction for Deep-Sea Environments: Practical Use for Surveys and Inspection
BT 
AF Ferrera, Maxime
   Arnaubec, Aurelien
   Boittiaux, Clementin
   Larroche, Inès
   Opderbecke, Jan
AS 1:1;2:1;3:1;4:1;5:1;
FF 1:PDG-DFO-SM-PRAO;2:PDG-DFO-SM-PRAO;3:PDG-DFO-SM-PRAO;4:;5:PDG-DFO-SM;
C1 Underwater Robotics Lab La Seyne-sur-mer, 83500, France
C2 IFREMER, FRANCE
SI TOULON
SE PDG-DFO-SM-PRAO
   PDG-DFO-SM
IN WOS Ifremer UPR
UR https://archimer.ifremer.fr/doc/00857/96881/105504.pdf
LA English
DT Proceedings paper
DE ;Surveys;Point cloud compression;Visualization;Three-dimensional displays;Simultaneous localization and mapping;Remotely guided vehicles;Inspection
AB This paper presents a combination of real-time and offline 3D reconstruction methods for remotely operated vehicles (ROVs) equipped with cameras used in underwater inspection and survey tasks. The real-time component is based on a stereo visual simultaneous localization and mapping algorithm and a truncated signed distance field representation for producing a coarse 3D reconstruction online. The offline component uses structure-from-motion techniques to create a dense point cloud representation of the scene which is then meshed and textured to produce a high-quality textured 3D mesh. The paper highlights the feasibility of using ROVs for vision-based 3D reconstruction in real-world scenarios and the potential of combining real-time and offline processing in practice for a range of underwater applications. 
PY 2023
PD JUL
CT OCEANS 2023 - Limerick, Limerick, Ireland, 2023, Electronic ISBN:979-8-3503-3226-1 Print on Demand(PoD) ISBN:979-8-3503-3227-8. pp. 1-7
DI 10.1109/OCEANSLimerick52467.2023.10244338
ID 96881
ER

EF