Caporali, Alessio ;
Galassi, Kevin ;
Palli, Gianluca
(2023)
REMODEL. WP4. Vision-based Perception. T4_3. Cable Detection and Tracking. Reconstructing and Tracking Deformable Linear Objects. v0.
University of Bologna.
DOI
10.6092/unibo/amsacta/7284.
[Dataset]
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Abstract
The dataset contains the source code utilized for the experimental validation of the 3D deformable linear objects shape reconstruction and tracking system. The developed approach is called DLO3DS.
The developed procedure is based on a pipeline that first processes the images coming from the 2D camera extracting key topological points along the DLOs. These points are then used to model each DLO with a B-spline curve. Finally, the set of splines obtained from all the images is matched by exploiting a multi-view stereo-based algorithm. The associated publication is the following:
A. Caporali, K. Galassi and G. Palli, "Deformable Linear Objects 3D Shape Estimation and Tracking From Multiple 2D Views," in IEEE Robotics and Automation Letters, vol. 8, no. 6, pp. 3852-3859, June 2023, doi: 10.1109/LRA.2023.3273518.
Abstract
The dataset contains the source code utilized for the experimental validation of the 3D deformable linear objects shape reconstruction and tracking system. The developed approach is called DLO3DS.
The developed procedure is based on a pipeline that first processes the images coming from the 2D camera extracting key topological points along the DLOs. These points are then used to model each DLO with a B-spline curve. Finally, the set of splines obtained from all the images is matched by exploiting a multi-view stereo-based algorithm. The associated publication is the following:
A. Caporali, K. Galassi and G. Palli, "Deformable Linear Objects 3D Shape Estimation and Tracking From Multiple 2D Views," in IEEE Robotics and Automation Letters, vol. 8, no. 6, pp. 3852-3859, June 2023, doi: 10.1109/LRA.2023.3273518.
Document type
Dataset
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DOI
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Deposit date
08 Jun 2023 11:19
Last modified
08 Jun 2023 11:19
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Funding program
EC - H2020
URI
Other metadata
Document type
Dataset
Creators
Subjects
DOI
Contributors
Deposit date
08 Jun 2023 11:19
Last modified
08 Jun 2023 11:19
Related identifier
Project name
Funding program
EC - H2020
URI
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