Point cloud processing techniques and image analysis comparisons for boat shapes measurements

Catalucci, Sofia; Marsili, Roberto; Moretti, Michèle; Rossi, Gianluca

doi:10.21014/acta_imeko.v7i2.543

Cited by 2 publications

(2 citation statements)

References 3 publications

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“…Recently, low-budget 3D reconstruction and merging was applied to underwater 3D seabed measurement in nearshore shallow waters using video streams of an action sport cam and structure from motion (SfM) technology [37]. Another interesting application of merged 3D point clouds was introduced by Catalucci et al [38] for boat shape measurement in air using a 3D hand scanner and photo-modeling technique.…”

Section: Introductionmentioning

confidence: 99%

A New Sensor System for Accurate 3D Surface Measurements and Modeling of Underwater Objects

et al. 2022

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A new underwater 3D scanning device based on structured illumination and designed for continuous capture of object data in motion for deep sea inspection applications is introduced. The sensor permanently captures 3D data of the inspected surface and generates a 3D surface model in real time. Sensor velocities up to 0.7 m/s are directly compensated while capturing camera images for the 3D reconstruction pipeline. The accuracy results of static measurements of special specimens in a water basin with clear water show the high accuracy potential of the scanner in the sub-millimeter range. Measurement examples with a moving sensor show the significance of the proposed motion compensation and the ability to generate a 3D model by merging individual scans. Future application tests in offshore environments will show the practical potential of the sensor for the desired inspection tasks.

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Section: Introductionmentioning

confidence: 99%

A New Sensor System for Accurate 3D Surface Measurements and Modeling of Underwater Objects

et al. 2022

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“…Another type of image analysis based on a contactless 3D shape measurement technique is photomodelling (Bianconi et al, 2017:;Catalucci et al, 2018:). In this technique feature detection algorithms are exploited to reconstruct point clouds and then extrapolate a mesh of the scanned object.…”

Section: Introductionmentioning

confidence: 99%

Low-Cost Depth-Camera: Open-Source 3d Displacement Measurements for 4d Printed Hygroscopic Composites

Bianconi

Filippucci

Pelliccia

et al. 2022

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. 4D printing (4DP) is a growing branch of 3D printing technology that involves the design of composite material architectures capable of shape-change transformations, which occur post printing, in response to external stimulus. Among these, Wood Polymer Composites (WPCs) change their shape in reaction to changes of moisture content, shrinking or swelling like natural wood until the equilibrium with the environment is reached. Such intrinsic material behavior can be particularly useful in the development of passive moisture airflow controllers that can modulate humidity and airflow in indoor environments to improve air quality. Precise measurement of the time-based stimulus induced shape-change response of these composites is critical to assess the responsiveness, velocity of reaction and overall deformation of the designed 4DP composite mechanisms. Up until now, Digital Image Correlation (DIC) techniques have been widely used for such purpose. However, DIC methods require expensive equipment and costly commercial software. This paper presents a Low-Cost Depth-Camera (LCDC) method that uses a free custom algorithm that returns a 3D coloured displacement map with the corresponding meshes of the acquired object. The LCDC method does not require specialized equipment and allows for an overall understanding of the time-dependent deformation of 4DP actuators, this method also facilitates the comparison between composites with different properties under the same external conditions. This new LCDC method has the potential to further 4DP research by providing an open-source, accessible and reliable tool to assess 3D displacement measurements.

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Point cloud processing techniques and image analysis comparisons for boat shapes measurements

Cited by 2 publications

References 3 publications

A New Sensor System for Accurate 3D Surface Measurements and Modeling of Underwater Objects

A New Sensor System for Accurate 3D Surface Measurements and Modeling of Underwater Objects

Low-Cost Depth-Camera: Open-Source 3d Displacement Measurements for 4d Printed Hygroscopic Composites

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