openalexThe international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences2026-07-23Cited by 0
Remote Pipe Diameter Measurement from a single Image using Laser Scale Projectionwith a Depth Compensation Model
Abstract. The dimensional measurement of cylindrical components, such as pipes, is a critical demand for quality control in industrial inspection. Monocular (single-view) computer vision-based approaches offer a low-cost and highly flexible solution but face the fundamental challenge of scale ambiguity. This paper proposes a method for measuring pipe diameter that solves this ambiguity by utilizing the projection of two laser points onto the object from the beam-splitting of a single laser source. The system projects two points with a known and previously calibrated distance onto the object's surface, providing the necessary scale information (mm/pixel) for the image. However, the projection onto the curved surface of the pipe induces a systematic error, as the laser dots land at a different depth (Z) than the depth of the apparent edges of the diameter in the 2D image. The main contribution of this work is the development and validation of a curvature compensation algorithm that mathematically corrects this depth distortion. Experimental results demonstrate that the proposed method, by compensating for the curvature, enables precise diameter measurement with a simple monocular system. For a pipe with a nominal diameter of 165 mm, measured at 6 m distance, the bias in the estimated diameter was reduced from 1.5% to less than 0.2%.
openalexThe international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences2026-07-23
Abstract. Accurate estimation of tree volume is essential for precision forestry and sustainable forest management. Traditional forest inventory methods rely on manual measurements of tree height and diameter, which are time-consuming and costly to conduct over large areas, and d…
openalexThe international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences2026-07-23
Abstract. Accurate modelling of lens distortion is essential for reliable geometric reconstruction in computer vision and optical metrology systems. Conventional characterisation approaches estimate distortion parameters from multiple images by leveraging repeated observations of…
openalexThe international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences2026-07-23
Abstract. This paper presents an automated framework for generating semantically labelled building point clouds from their corresponding BIM models. The proposed methodology aims to facilitate the creation of training datasets for deep learning–based indoor semantic segmentation.…
openalexThe international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences2026-07-23
Abstract. Semantic classification is a fundamental step in Mobile Laser Scanning (MLS) point clouds processing, and remains a non-trivial task. In this work, we propose a classification framework based on a 3D Sparse Convolutional Neural Network (SparseCNN) for efficient processi…
openalexThe international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences2026-07-23
Abstract. As large-scale infrastructure gradually ages, hundreds of existing bridges require regular inspections to ensure structural safety. While many researchers have proposed deterioration detection methods based on computer vision and deep learning—which can detect deteriora…
openalexThe international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences2026-07-23
Abstract. Three-dimensional (3D) modeling for the documentation, preservation, and management of cultural heritage is indispensable. To achieve this goal, a low-cost unmanned aerial vehicle (UAV) combined with the Structure from Motion (SfM) photogrammetric technique was utilized…