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Updated: May 7, 2026

Quantification of Strain in a Porcine Model of Skin Expansion Using Multi-View Stereo and Isogeometric Kinematics

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Beach surface model construction: A strategy approach with structure from motion - multi-view stereo.

A T S Ferreira^1,2,3, Carlos Henrique Grohmann⁴, Maria Carolina Hernandez Ribeiro⁵

¹Technology in Environment and Water Resources, São Paulo State Technological College of Jahu, Jaú 17212-599, SP, Brazil.

|April 18, 2024

Summary

This summary is machine-generated.

This study introduces a cost-effective terrestrial photogrammetry method using Structure from Motion-Multi View Stereo (SfM-MVS) for beach profiling. Strategic placement of ground control points (GCPs) is crucial for accurate coastal mapping with this accessible technique.

Keywords:

Beach Morphology Beach Survey GNSS Photogrammetry Strategies for beach surface modeling with structure from movement - multi-view stereo Structure from Motion

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Last Updated: May 7, 2026

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Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

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Published on: April 18, 2025

Area of Science:

Geosciences
Coastal Engineering
Photogrammetry

Background:

Traditional beach profiling methods (topographic surveys, GNSS) are often costly and time-consuming.
Terrestrial photogrammetry offers a potentially more efficient alternative for coastal monitoring.

Purpose of the Study:

To evaluate the efficiency, cost-effectiveness, and simplicity of the Structure from Motion-Multi View Stereo (SfM-MVS) method for beach profiling.
To assess the impact of ground control point (GCP) and checkpoint (CKP) distribution on SfM-MVS accuracy in coastal mapping.

Main Methods:

Utilized terrestrial photogrammetry with a 12-megapixel camera for image acquisition.
Processed images using Agisoft Metashape Professional software.
Validated accuracy with GCPs and CKPs calibrated via GNSS.

Main Results:

The SfM-MVS method demonstrated efficiency, cost-effectiveness, and simplicity compared to traditional techniques.
Significant variations in positional accuracy were observed based on GCP distribution.
Optimal distribution of GCPs and CKPs is critical for reliable coastal mapping.

Conclusions:

SfM-MVS is a powerful and accessible tool for coastal monitoring, enabling the use of common devices like smartphones.
Strategic distribution of GCPs and CKPs is essential for maximizing the accuracy of SfM-MVS in coastal environments.
This research advances efficient and accessible beach profile monitoring for coastal management.