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Completing the picture of field-grown cereal crops: a new method for detailed leaf surface models in wheat

Marie Theiß, Angelina Steier, Uwe Rascher, Mark Müller-Linow • Plant Methods (2024)

Abstract Background The leaf angle distribution (LAD) is an important structural parameter of agricultural crops that influences light interception, radiation fluxes and consequently plant performance. Therefore, LAD and its parametrized fo...

DOAJ Open Access (DOAJ) DOI: 10.1186/s13007-023-01130-x

ALL-IN-ONE LASER SCANNING METHODS FOR SURVEYING, REPRESENTING AND SHARING INFORMATION ON ARCHAEOLOGY. VIA FLAMINIA AND THE FURLO TUNNEL COMPLEX

P. Clini, R. Nespeca, A. Bernetti • The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (2013)

The aim of this paper is to describe the results of the laser scanner survey of an archaeological complex, aimed at knowledge, documentation and diagnostic operations to make premises secure. Archaeology has always been the most complex su...

DOAJ Open Access (DOAJ) DOI: 10.5194/isprsarchives-XL-5-W2-201-2013

Pixel-Accurate Registration of Photogrammetric Images and LiDAR in a Hybrid Airborne Oblique Imaging System

D. Deng, R. Qin, R. Qin, E. M. Farella et al. • The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (2026)

Hybrid airborne imaging systems integrating oblique photogrammetric cameras and LiDAR sensors provide complementary geometric and radiometric information for high-fidelity 3D reconstruction. While LiDAR offers stable global geometric accura...

DOAJ Open Access (DOAJ) DOI: 10.5194/isprs-archives-XLIX-B2-2026-143-2026

R-Local Unlabeled Sensing: A Novel Graph Matching Approach for Multiview Unlabeled Sensing Under Local Permutations

Ahmed Abbasi, Abiy Tasissa, Shuchin Aeron • IEEE Open Journal of Signal Processing (2021)

Unlabeled sensing is a linear inverse problem where the measurements are scrambled under an unknown permutation leading to loss of correspondence between the measurements and the rows of the sensing matrix. Motivated by practical tasks such...

DOAJ Open Access (DOAJ) DOI: 10.1109/OJSP.2021.3083479

FPGA-based multi-view stereo system with flexible measurement setup

Christina Junger, Richard Fütterer, Maik Rosenberger, Gunther Notni • Measurement: Sensors (2022)

In recent years, stereoscopic image processing algorithms have gained importance for a variety of applications. To capture larger measurement volumes, multiple stereo systems are combined into a multi-view stereo (MVS) system. To reduce the...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.measen.2022.100425

Similarity Measurement and Retrieval of Three-Dimensional Voxel Model Based on Symbolic Operator

Zhenwen He, Xianzhen Liu, Chunfeng Zhang • ISPRS International Journal of Geo-Information (2024)

Three-dimensional voxel models are widely applied in various fields such as 3D imaging, industrial design, and medical imaging. The advancement of 3D modeling techniques and measurement devices has made the generation of three-dimensional m...

DOAJ Open Access (DOAJ) DOI: 10.3390/ijgi13030089

Pointwise Convolutional Neural Networks

Binh‐Son Hua, Minh-Khoi Tran, Sai-Kit Yeung • IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings (2018)

Deep learning with 3D data such as reconstructed point clouds and CAD models has received great research interests recently. However, the capability of using point clouds with convolutional neural network has been so far not fully explored....

OPENALEX Open Access DOI: https://doi.org/10.1109/cvpr.2018.00109

Robotic Template Library

Ales Jelinek, Adam Ligocki, Ludek Zalud • Journal of Open Research Software (2021)

Robotic Template Library (RTL) is a set of tools for dealing with geometry and point cloud processing, especially in robotic applications. The software package covers basic objects such as vectors, line segments, quaternions, rigid transfor...

DOAJ Open Access (DOAJ) DOI: 10.5334/jors.353

Experimental study of a novel contact-based pose detection approach for digital twin-driven high-precision micro assembly

Nazeer Bilal, Pradeep Carol Santhosh, Vargas Patricia A., Erden Mustafa Suphi et al. • Manufacturing Review (2025)

This study presents a comprehensive study of a novel Contact-Based Pose Estimation Method (CBPEM) for enhancing precision in robotic assembly processes within digital twin frameworks. Conventional pose detection methods, such as laser and c...

DOAJ Open Access (DOAJ) DOI: 10.1051/mfreview/2025004

Optimal Coherent Point Selection for 3D Quality Inspection from Silhouette-Based Reconstructions

Javier Pérez Soler, Jose-Luis Guardiola, Alberto Perez Jimenez, Pau Garrigues Carbó et al. • Mathematics (2023)

3D Geometric quality inspection involves assessing and comparing a reconstructed object to a predefined reference model or design that defines its expected volume. Achieving precise 3D object geometry reconstruction from multiple views can ...

DOAJ Open Access (DOAJ) DOI: 10.3390/math11214419

A SMARTPHONE-BASED 3D PIPELINE FOR THE CREATIVE INDUSTRY – THE REPLICATE EU PROJECT

E. Nocerino, F. Lago, D. Morabito, F. Remondino et al. • The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (2017)

During the last two decades we have witnessed great improvements in ICT hardware and software technologies. Three-dimensional content is starting to become commonplace now in many applications. Although for many years 3D technologies have b...

DOAJ Open Access (DOAJ) DOI: 10.5194/isprs-archives-XLII-2-W3-535-2017

DAPS3D: Domain Adaptive Projective Segmentation of 3D LiDAR Point Clouds

Alexey A. Klokov, Di Un Pak, Aleksandr Khorin, Dmitry A. Yudin et al. • IEEE Access (2023)

LiDARs are one of the key sources of reliable environmental ranging information for autonomous vehicles. However, segmentation of 3D scene elements (roads, buildings, people, cars, etc.) based on LiDAR point clouds has limitations. On the o...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2023.3298706

Exploiting Three-Dimensional Gaze Tracking for Action Recognition During Bimanual Manipulation to Enhance Human–Robot Collaboration

Alireza Haji Fathaliyan, Xiaoyu Wang, Veronica J. Santos • Frontiers in Robotics and AI (2018)

Human–robot collaboration could be advanced by facilitating the intuitive, gaze-based control of robots, and enabling robots to recognize human actions, infer human intent, and plan actions that support human goals. Traditionally, gaze trac...

DOAJ Open Access (DOAJ) DOI: 10.3389/frobt.2018.00025

Review: Deep Learning on 3D Point Clouds

Saifullahi Aminu Bello, Shangshu Yu, Cheng Wang, Jibril Muhammad Adam et al. • Remote Sensing (2020)

A point cloud is a set of points defined in a 3D metric space. Point clouds have become one of the most significant data formats for 3D representation and are gaining increased popularity as a result of the increased availability of acquisi...

OPENALEX cc-by DOI: https://doi.org/10.3390/rs12111729

An Automated Image-Based Dietary Assessment System for Mediterranean Foods

Fotios S. Konstantakopoulos, Eleni I. Georga, Dimitrios I. Fotiadis • IEEE Open Journal of Engineering in Medicine and Biology (2023)

Goal: The modern way of living has significantly influenced the daily diet. The ever-increasing number of people with obesity, diabetes and cardiovascular diseases stresses the need to find tools that could help in the daily intake of the n...

DOAJ Open Access (DOAJ) DOI: 10.1109/OJEMB.2023.3266135

SEMANTIC URBAN MESH SEGMENTATION BASED ON AERIAL OBLIQUE IMAGES AND POINT CLOUDS USING DEEP LEARNING

Ł. Wilk, Ł. Wilk, D. Mielczarek, W. Ostrowski et al. • The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (2022)

The use of deep machine learning methods for semantic classification of city mesh models is one of the current trends in geoscience development. Thanks to the thriving development of Convolutional Neural Networks (CNNs) it is now achievable...

DOAJ Open Access (DOAJ) DOI: 10.5194/isprs-archives-XLIII-B2-2022-485-2022