Sail Shape Visualization

Master Thesis (2021)
Author(s)

D. Mu (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Contributor(s)

R. Marroquim – Mentor (TU Delft - Computer Graphics and Visualisation)

E. Eisemann – Graduation committee member (TU Delft - Computer Graphics and Visualisation)

Silvia Pintea – Graduation committee member (TU Delft - Pattern Recognition and Bioinformatics)

Faculty
Electrical Engineering, Mathematics and Computer Science
Copyright
© 2021 Danfeng Mu
More Info
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Publication Year
2021
Language
English
Copyright
© 2021 Danfeng Mu
Graduation Date
29-01-2021
Awarding Institution
Delft University of Technology
Programme
['Computer Science']
Faculty
Electrical Engineering, Mathematics and Computer Science
Reuse Rights

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Abstract

While sailing, sailors solely rely on their eyes to inspect the sail shape and adjust the sail configurations to achieve an appropriate sail shape that corresponds to the weather condition. This so-called trimming process requires years of experience. Hence the visual inspection of sail shape suffers from inaccuracy and communication difficulties. Therefore, this research proposes a visual analysis tool that presents an accurate sail shape structure and supports sailors in investigating the optimal sail shape of certain weather conditions. In order to achieve our goals, we reconstruct the sail shape using two triangulation methods. For incomplete reconstructed sail shapes caused by the uncertain image quality, we deform a complete template sail under the constraints of the incomplete sail shape and use the deformed sail as an estimation of the proper shape structure. We designed a visualization dashboard for sailors to explore the 3D structure, 2D profiles and characteristics of the time-varying sail shape and analyze their relation to boat speed. The usability of the visualization tool is tested by a qualitative evaluation with two sailing experts. The result shows that the reconstruction and deformation of sail shape are valid, and the visualization dashboard has the potential to enhance sailors' comprehension of sail shape and provide insights into the optimal sail shape trimming.

Files

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