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Keywords = videogrammetry

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35 pages, 10558 KB  
Article
Cave of Altamira (Spain): UAV-Based SLAM Mapping, Digital Twin and Segmentation-Driven Crack Detection for Preventive Conservation in Paleolithic Rock-Art Environments
by Jorge Angás, Manuel Bea, Carlos Valladares, Cristian Iranzo, Gonzalo Ruiz, Pilar Fatás, Carmen de las Heras, Miguel Ángel Sánchez-Carro, Viola Bruschi, Alfredo Prada and Lucía M. Díaz-González
Drones 2026, 10(1), 73; https://doi.org/10.3390/drones10010073 - 22 Jan 2026
Viewed by 87
Abstract
The Cave of Altamira (Spain), a UNESCO World Heritage site, contains one of the most fragile and inaccessible Paleolithic rock-art environments in Europe, where geomatics documentation is constrained not only by severe spatial, lighting and safety limitations but also by conservation-driven restrictions on [...] Read more.
The Cave of Altamira (Spain), a UNESCO World Heritage site, contains one of the most fragile and inaccessible Paleolithic rock-art environments in Europe, where geomatics documentation is constrained not only by severe spatial, lighting and safety limitations but also by conservation-driven restrictions on time, access and operational procedures. This study applies a confined-space UAV equipped with LiDAR-based SLAM navigation to document and assess the stability of the vertical rock wall leading to “La Hoya” Hall, a structurally sensitive sector of the cave. Twelve autonomous and assisted flights were conducted, generating dense LiDAR point clouds and video sequences processed through videogrammetry to produce high-resolution 3D meshes. A Mask R-CNN deep learning model was trained on manually segmented images to explore automated crack detection under variable illumination and viewing conditions. The results reveal active fractures, overhanging blocks and sediment accumulations located on inaccessible ledges, demonstrating the capacity of UAV-SLAM workflows to overcome the limitations of traditional surveys in confined subterranean environments. All datasets were integrated into the DiGHER digital twin platform, enabling traceable storage, multitemporal comparison, and collaborative annotation. Overall, the study demonstrates the feasibility of combining UAV-based SLAM mapping, videogrammetry and deep learning segmentation as a reproducible baseline workflow to inform preventive conservation and future multitemporal monitoring in Paleolithic caves and similarly constrained cultural heritage contexts. Full article
(This article belongs to the Topic 3D Documentation of Natural and Cultural Heritage)
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19 pages, 3824 KB  
Article
A Low-Cost Validated Two-Camera 3D Videogrammetry System Applicable to Kinematic Analysis of Human Motion
by Alejandro Peña-Trabalon, Salvador Moreno-Vegas, Maria Belen Estebanez-Campos, Fernando Nadal-Martinez, Francisco Garcia-Vacas and Maria Prado-Novoa
Sensors 2025, 25(16), 4900; https://doi.org/10.3390/s25164900 - 8 Aug 2025
Cited by 1 | Viewed by 922
Abstract
(1) Background: Image acquisition systems based on videogrammetry principles are widely used across various research fields, particularly in mechanics, with applications ranging from civil engineering to biomechanics and kinematic analysis. This study presents the design, development, and validation of a low-cost, two-camera 3D [...] Read more.
(1) Background: Image acquisition systems based on videogrammetry principles are widely used across various research fields, particularly in mechanics, with applications ranging from civil engineering to biomechanics and kinematic analysis. This study presents the design, development, and validation of a low-cost, two-camera 3D videogrammetry system for the kinematic analysis of human motion. (2) Materials and Methods: Built using commercially available components and custom MATLAB® (version 2019b) software, the system captures synchronized video streams and extracts precise 3D coordinates of markers. Its performance was validated against the Vicon® (Vicon Nexus 1.7.1) system, a gold standard in musculoskeletal motion analysis. Comparative tests were conducted under static and dynamic conditions at varying working distances and velocities. (3) Results: Results demonstrate that the proposed system achieves high accuracy, with maximum measurement errors below 0.3% relative to Vicon®, and similar repeatability (SD of approximately 0.02 mm in static conditions). Compared to manual caliper measurements, both vision systems yielded similar results, with errors ranging between 0.01% and 0.82%. (4) Conclusions: A low-cost, two-camera videogrametric system was validated, offering full transparency, flexibility, and affordability, making it a practical alternative for both clinical and research settings in biomechanics and human movement analysis, with potential to be extended to general kinematic analysis. Full article
(This article belongs to the Section Biomedical Sensors)
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16 pages, 3620 KB  
Article
Wind Tunnel Experimental Study on Dynamic Coupling Characteristics of Flexible Refueling Hose–Drogue System
by Yinzhu Wang, Jiangtao Huang, Qisheng Chen, Enguang Shan and Yufeng Guo
Aerospace 2025, 12(7), 646; https://doi.org/10.3390/aerospace12070646 - 21 Jul 2025
Viewed by 620
Abstract
During the process of flexible aerial refueling, the flexible structure of the hose drogue assembly is affected by internal and external interference, such as docking maneuvering, deformation of the hose, attitude changes, and body vibrations, causing the hose to swing and the whipping [...] Read more.
During the process of flexible aerial refueling, the flexible structure of the hose drogue assembly is affected by internal and external interference, such as docking maneuvering, deformation of the hose, attitude changes, and body vibrations, causing the hose to swing and the whipping phenomenon, which greatly limits the success rate and safety of aerial refueling operations. Based on a 2.4 m transonic wind tunnel, high-speed wind tunnel test technology of a flexible aerial refueling hose–drogue system was established to carry out experimental research on the coupling characteristics of aerodynamics and multi-body dynamics. Based on the aid of Videogrammetry Model Deformation (VMD), high-speed photography, dynamic balance, and other wind tunnel test technologies, the dynamic characteristics of the hose–drogue system in a high-speed airflow and during the approach of the receiver are obtained. Adopting flexible multi-body dynamics, a dynamic system of the tanker, hose, drogue, and receiver is modeled. The cable/beam model is based on an arbitrary Lagrange–Euler method, and the absolute node coordinate method is used to describe the deformation, movement, and length variation in the hose during both winding and unwinding. The aerodynamic forces of the tanker, receiver, hose, and drogue are modeled, reflecting the coupling influence of movement of the tanker and receiver, the deformation of the hose and drogue, and the aerodynamic forces on each other. The tests show that during the approach of the receiver (distance from 1000 mm to 20 mm), the sinking amount of the drogue increases by 31 mm; due to the offset of the receiver probe, the drogue moves sideways from the symmetric plane of the receiver. Meanwhile, the oscillation magnitude of the drogue increases (from 33 to 48 and from 48 to 80 in spanwise and longitudinal directions, respectively). The simulation results show that the shear force induced by the oscillation of the hose and the propagation velocity of both the longitudinal and shear waves are affected by the hose stiffness and Mach number. The results presented in this work can be of great reference to further increase the safety of aerial refueling. Full article
(This article belongs to the Section Aeronautics)
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30 pages, 4926 KB  
Article
Impact Testing of Aging Li-Ion Batteries from Light Electric Vehicles (LEVs)
by Miguel Antonio Cardoso-Palomares, Juan Carlos Paredes-Rojas, Juan Alejandro Flores-Campos, Armando Oropeza-Osornio and Christopher René Torres-SanMiguel
Batteries 2025, 11(7), 263; https://doi.org/10.3390/batteries11070263 - 13 Jul 2025
Cited by 2 | Viewed by 1456
Abstract
The increasing adoption of Light Electric Vehicles (LEVs) in urban areas, driven by the micromobility wave, raises significant safety concerns, particularly regarding battery fire incidents. This research investigates the electromechanical performance of aged 18650 lithium-ion batteries (LIBs) from LEVs under mechanical impact conditions. [...] Read more.
The increasing adoption of Light Electric Vehicles (LEVs) in urban areas, driven by the micromobility wave, raises significant safety concerns, particularly regarding battery fire incidents. This research investigates the electromechanical performance of aged 18650 lithium-ion batteries (LIBs) from LEVs under mechanical impact conditions. For this study, a battery module from a used e-scooter was disassembled, and its constituent cells were reconfigured into compact modules for testing. To characterize their initial condition, the cells underwent cycling tests to evaluate their state of health (SOH). Although a slight majority of the cells retained an SOH greater than 80%, a notable increase in their internal resistance (IR) was also observed, indicating degradation due to aging. The mechanical impact tests were conducted in adherence to the UL 2271:2018 standard, employing a semi-sinusoidal acceleration pulse. During these tests, linear kinematics were analyzed using videogrammetry, while key electrical and thermal parameters were monitored. Additionally, strain gauges were installed on the central cells to measure stress and deformation. The results from the mechanical shock tests revealed characteristic acceleration and velocity patterns. These findings clarify the electromechanical behavior of aged LIBs under impact, providing critical data to enhance the safety and reliability of these vehicles. Full article
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25 pages, 11063 KB  
Article
Evaluating the Accuracy of Smartphone-Based Photogrammetry and Videogrammetry in Facial Asymmetry Measurement
by Luiz Carlos Teixeira Coelho, Matheus Ferreira Coelho Pinho, Flávia Martinez de Carvalho, Ana Luiza Meneguci Moreira Franco, Omar C. Quispe-Enriquez, Francisco Airasca Altónaga and José Luis Lerma
Symmetry 2025, 17(3), 376; https://doi.org/10.3390/sym17030376 - 1 Mar 2025
Cited by 1 | Viewed by 4500
Abstract
Facial asymmetry presents a significant challenge for health practitioners, including physicians, dentists, and physical therapists. Manual measurements often lack the precision needed for accurate assessments, highlighting the appeal of imaging technologies like structured light scanners and photogrammetric systems. However, high-end commercial systems remain [...] Read more.
Facial asymmetry presents a significant challenge for health practitioners, including physicians, dentists, and physical therapists. Manual measurements often lack the precision needed for accurate assessments, highlighting the appeal of imaging technologies like structured light scanners and photogrammetric systems. However, high-end commercial systems remain cost prohibitive, especially for public health services in developing countries. This study aims to evaluate cell-phone-based photogrammetric methods for generating 3D facial models to detect facial asymmetries. For this purpose, 15 patients had their faces scanned with the ACADEMIA 50 3D scanner, as well as with cell phone images and videos using photogrammetry and videogrammetry, resulting in 3D facial models. Each 3D model (coming from a 3D scanner, photogrammetry, and videogrammetry) was half-mirrored to analyze dissimilarities between the two ideally symmetric face sides using Hausdorff distances between the two half-meshes. These distances were statistically analyzed through various measures and hypothesis tests. The results indicate that, in most cases, both photogrammetric and videogrammetric approaches are as reliable as 3D scanning for detecting facial asymmetries. The benefits and limitations of using images, videos, and 3D scanning are also presented. Full article
(This article belongs to the Special Issue Symmetry and Asymmetry in Computer Vision and Graphics)
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12 pages, 983 KB  
Article
Eight-Week Pilates or Whole-Body High-Intensity Interval Training Program Improves Spinal Range of Motion During the Gait Cycle in Sedentary Women: A Preliminary Study
by Sabrina Fernandes Gonçalves, Arthur Ferreira do Vale, Cauê Vazquez La Scala Teixeira, Joyce Sousa de Oliveira, Jordana Rodrigues Vitória, Juliana Alves Carneiro and Mário Hebling Campos
Int. J. Environ. Res. Public Health 2025, 22(2), 162; https://doi.org/10.3390/ijerph22020162 - 26 Jan 2025
Cited by 1 | Viewed by 2245
Abstract
This study aimed to compare the effects of Pilates (PIL) and whole-body high-intensity interval training (WBHIIT) on the spinal curvature of sedentary women. After being invited, 26 sedentary women aged between 20 and 54 voluntarily agreed to participate in the study. The sample [...] Read more.
This study aimed to compare the effects of Pilates (PIL) and whole-body high-intensity interval training (WBHIIT) on the spinal curvature of sedentary women. After being invited, 26 sedentary women aged between 20 and 54 voluntarily agreed to participate in the study. The sample was obtained through convenience sampling, and the participants chose either PIL or WBHIIT, which resulted in 13 participants in each group. Spinal posture was assessed pre- and post-intervention through videogrammetry during standing and walking. Markers were placed on the back, and the volunteers were instructed to remain in a standing position on a stationary treadmill for ten seconds. Subsequently, the treadmill was activated at a speed of 5 km/h. After one minute of walking, a complete gait cycle was recorded for analysis. The results showed no significant changes in spinal angles in static position between groups. However, in the walking position, there was a large-magnitude increase in the spinal range of motion (ROM) post-intervention (PIL Lumbar d = 1.8; PIL Thoracic d = 2.9; WBHIIT Lumbar d = 1.0; WBHIIT Thoracic d = 3.5) within groups in the sagittal plane. The adaptations promoted by these interventions in spinal ROM are important for reducing the risks of spinal stiffness and pain due to sedentary behaviour. Full article
(This article belongs to the Special Issue Physical Activity Interventions for Sedentary Behavior Change)
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22 pages, 10421 KB  
Article
Distributed High-Speed Videogrammetry for Real-Time 3D Displacement Monitoring of Large Structure on Shaking Table
by Haibo Shi, Peng Chen, Xianglei Liu, Zhonghua Hong, Zhen Ye, Yi Gao, Ziqi Liu and Xiaohua Tong
Remote Sens. 2024, 16(23), 4345; https://doi.org/10.3390/rs16234345 - 21 Nov 2024
Viewed by 1820
Abstract
The accurate and timely acquisition of high-frequency three-dimensional (3D) displacement responses of large structures is crucial for evaluating their condition during seismic excitation on shaking tables. This paper presents a distributed high-speed videogrammetric method designed to rapidly measure the 3D displacement of large [...] Read more.
The accurate and timely acquisition of high-frequency three-dimensional (3D) displacement responses of large structures is crucial for evaluating their condition during seismic excitation on shaking tables. This paper presents a distributed high-speed videogrammetric method designed to rapidly measure the 3D displacement of large shaking table structures at high sampling frequencies. The method uses non-coded circular targets affixed to key points on the structure and an automatic correspondence approach to efficiently estimate the extrinsic parameters of multiple cameras with large fields of view. This process eliminates the need for large calibration boards or manual visual adjustments. A distributed computation and reconstruction strategy, employing the alternating direction method of multipliers, enables the global reconstruction of time-sequenced 3D coordinates for all points of interest across multiple devices simultaneously. The accuracy and efficiency of this method were validated through comparisons with total stations, contact sensors, and conventional approaches in shaking table tests involving large structures with RCBs. Additionally, the proposed method demonstrated a speed increase of at least six times compared to the advanced commercial photogrammetric software. It could acquire 3D displacement responses of large structures at high sampling frequencies in real time without requiring a high-performance computing cluster. Full article
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21 pages, 9366 KB  
Article
Design of a Compliant Sternum Prosthesis for Improving Respiratory Dynamics
by Octavio Ramírez, Christopher René Torres-SanMiguel and Marco Ceccarelli
Prosthesis 2024, 6(3), 561-581; https://doi.org/10.3390/prosthesis6030040 - 28 May 2024
Cited by 2 | Viewed by 2420
Abstract
This study presents a novel approach to sternum prosthesis design, aiming to address the limitations of the current solutions by employing compliant mechanisms. The research focuses on developing a prosthetic design capable of generating lifting movements on ribs during breathing. First, a videogrammetry [...] Read more.
This study presents a novel approach to sternum prosthesis design, aiming to address the limitations of the current solutions by employing compliant mechanisms. The research focuses on developing a prosthetic design capable of generating lifting movements on ribs during breathing. First, a videogrammetry experimental test and virtual simulations were conducted to ascertain the vertical forces applied to each sternum joint. Subsequently, a compliant mechanism design was initiated, involving optimization and finite element analysis (FEM). A comprehensive kinematic performance analysis was performed to evaluate the prosthetic design. The results indicate that the obtained displacements of each rib closely align with those reported in the existing literature, demonstrating the effectiveness of the proposed solution. In conclusion, the developed sternum prosthesis exhibits the capability to recover approximately 56% of the ribs’ natural movements, highlighting its potential as an innovative and promising solution in the field of chest prosthetics. Full article
(This article belongs to the Special Issue Innovative Prosthetic Devices Applied to the Human Body)
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23 pages, 12392 KB  
Article
Craniofacial 3D Morphometric Analysis with Smartphone-Based Photogrammetry
by Omar C. Quispe-Enriquez, Juan José Valero-Lanzuela and José Luis Lerma
Sensors 2024, 24(1), 230; https://doi.org/10.3390/s24010230 - 30 Dec 2023
Cited by 10 | Viewed by 4422
Abstract
Obtaining 3D craniofacial morphometric data is essential in a variety of medical and educational disciplines. In this study, we explore smartphone-based photogrammetry with photos and video recordings as an effective tool to create accurate and accessible metrics from head 3D models. The research [...] Read more.
Obtaining 3D craniofacial morphometric data is essential in a variety of medical and educational disciplines. In this study, we explore smartphone-based photogrammetry with photos and video recordings as an effective tool to create accurate and accessible metrics from head 3D models. The research involves the acquisition of craniofacial 3D models on both volunteers and head mannequins using a Samsung Galaxy S22 smartphone. For the photogrammetric processing, Agisoft Metashape v 1.7 and PhotoMeDAS software v 1.7 were used. The Academia 50 white-light scanner was used as reference data (ground truth). A comparison of the obtained 3D meshes was conducted, yielding the following results: 0.22 ± 1.29 mm for photogrammetry with camera photos, 0.47 ± 1.43 mm for videogrammetry with video frames, and 0.39 ± 1.02 mm for PhotoMeDAS. Similarly, anatomical points were measured and linear measurements extracted, yielding the following results: 0.75 mm for photogrammetry, 1 mm for videogrammetry, and 1.25 mm for PhotoMeDAS, despite large differences found in data acquisition and processing time among the four approaches. This study suggests the possibility of integrating photogrammetry either with photos or with video frames and the use of PhotoMeDAS to obtain overall craniofacial 3D models with significant applications in the medical fields of neurosurgery and maxillofacial surgery. Full article
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22 pages, 17166 KB  
Article
High-Speed Videogrammetry with Mutually Guided Target Tracking under Occlusion for Masonry Building Structure Displacement on a Shaking Table
by Xianglei Liu, Shenglong Li, Dezhi Zhang, Jun Yang, Yuxin Chen, Runjie Wang, Yuqi Zhang and Yuan Yao
Buildings 2023, 13(12), 2959; https://doi.org/10.3390/buildings13122959 - 28 Nov 2023
Cited by 3 | Viewed by 1803
Abstract
High-speed videogrammetric measurements are widely used on shaking tables. However, during progressive collapse experiments, the protective string used to ensure the safety of personnel and the shaking table, mandated by safety considerations, can partially occlude the structural model. To address the problem of [...] Read more.
High-speed videogrammetric measurements are widely used on shaking tables. However, during progressive collapse experiments, the protective string used to ensure the safety of personnel and the shaking table, mandated by safety considerations, can partially occlude the structural model. To address the problem of inaccurate tracking of the ellipse targets in image sequences due to the partial occlusion, this paper proposes a novel mutually guided tracking method for the partial occlusion situations. Firstly, the strategy of loopback detection is proposed to eliminate the cumulative errors with the initial tracking model and to replace the initial results of the tracking with those from the loopback detection. Secondly, tiny offset compensation is used to solve the problem of deviations. The experimental results demonstrate that the proposed method can achieve single-point localization at the sub-millimeter level and interlayer localization at the millimeter level within partially occluded environments. It is important that the proposed method meets the requirements of experimental accuracy on shaking tables and ensures the safety of personnel and facilities. Full article
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14 pages, 2136 KB  
Article
Improving Monocular Camera Localization for Video-Based Three-Dimensional Outer Ear Reconstruction Tasks
by Mantas Tamulionis, Artūras Serackis, Kęstutis Bartnykas, Darius Miniotas, Šarūnas Mikučionis, Raimond Laptik, Andrius Ušinskas and Dalius Matuzevičius
Appl. Sci. 2023, 13(15), 8712; https://doi.org/10.3390/app13158712 - 28 Jul 2023
Cited by 1 | Viewed by 1689
Abstract
This work addresses challenges related to camera 3D localization while reconstructing a 3D model of an ear. This work explores the potential solution of using a cap, specifically designed not to obstruct the ear, and its efficiency in enhancing the camera localization for [...] Read more.
This work addresses challenges related to camera 3D localization while reconstructing a 3D model of an ear. This work explores the potential solution of using a cap, specifically designed not to obstruct the ear, and its efficiency in enhancing the camera localization for structure-from-motion (SfM)-based object reconstruction. The proposed solution is described, and an elaboration of the experimental scenarios used to investigate the background textures is provided; data collection and software tools used in the research are reported. The results show that the proposed method is effective, and using the cap with texture leads to a reduction in the camera localization error. Errors in the 3D location reconstruction of the camera were calculated by comparing cameras localized within typical ear reconstruction situations to those of higher-accuracy reconstructions. The findings also show that caps with sparse dot patterns and a regular knitted patterned winter hat are the preferred patterns. The study provides a contribution to the field of 3D modeling, particularly in the context of creating 3D models of the human ear, and offers a step towards more accurate, reliable, and feasible 3D ear modeling and reconstruction. Full article
(This article belongs to the Special Issue User Experience in Virtual Environments)
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17 pages, 7361 KB  
Article
High-Speed Videogrammetry for Seismic Performance of the Spherical Reticulated Shell Structure on the Shaking Table
by Xianglei Liu, Pengfei Zhang, Zhenkai Jia, Yuxin Chen, Shenglong Li and Runjie Wang
Buildings 2023, 13(2), 553; https://doi.org/10.3390/buildings13020553 - 17 Feb 2023
Cited by 5 | Viewed by 2844
Abstract
Spherical reticulated shell structure is an important structural form of large-span space buildings. It is of great significance to monitor three-dimensional (3D) dynamic responses of spherical reticulated shell structure to better understand its seismic performances, which will be helpful in the future to [...] Read more.
Spherical reticulated shell structure is an important structural form of large-span space buildings. It is of great significance to monitor three-dimensional (3D) dynamic responses of spherical reticulated shell structure to better understand its seismic performances, which will be helpful in the future to ensure the healthy condition of large-span space buildings during their lifespan. In this study, with the advantages of non-contact and high accuracy, a high-speed videogrammetric measurement method is proposed for monitoring the 3D dynamic responses of the seismically isolated, spherical, reticulated shell structural model. Two issues—the high-speed videogrammetric acquisition system and network configuration, as well as image sequence target tracking and positioning—are emphasized to achieve a cache of high-speed images and to improve the accuracy of tracking and positioning target points. The experimental results on the shaking table from the proposed method have been compared with those from traditional Optotrak Certus and accelerometers. The results prove that the proposed method is capable and useful for analyzing the seismic performance of spherical reticulated shell structures, as the dynamic responses monitoring accuracy of the method can reach the submillimeter level, with root mean square error values of 0.32 mm, 0.7 mm and 0.06 mm in the X, Y and Z directions, respectively. Full article
(This article belongs to the Special Issue Nondestructive Evaluation (NDE) of Buildings and Civil Infrastructure)
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18 pages, 2459 KB  
Article
Finding the Least Motion-Blurred Image by Reusing Early Features of Object Detection Network
by Mantas Tamulionis, Tomyslav Sledevič, Vytautas Abromavičius, Dovilė Kurpytė-Lipnickė, Dalius Navakauskas, Artūras Serackis and Dalius Matuzevičius
Appl. Sci. 2023, 13(3), 1264; https://doi.org/10.3390/app13031264 - 17 Jan 2023
Cited by 9 | Viewed by 2568
Abstract
Taking smartphone-made videos for photogrammetry is a convenient approach because of the easy image collection process for the object being reconstructed. However, the video may contain a lot of relatively similar frames. Additionally, frames may be of different quality. The primary source of [...] Read more.
Taking smartphone-made videos for photogrammetry is a convenient approach because of the easy image collection process for the object being reconstructed. However, the video may contain a lot of relatively similar frames. Additionally, frames may be of different quality. The primary source of quality variation in the same video is varying motion blur. Splitting the sequence of the frames into chunks and choosing the least motion-blurred frame in every chunk would reduce data redundancy and improve image data quality. Such reduction will lead to faster and more accurate reconstruction of the 3D objects. In this research, we investigated image quality evaluation in the case of human 3D head modeling. Suppose a head modeling workflow already uses a convolutional neural network for the head detection task in order to remove non-static background. In that case, features from the neural network may be reused for the quality evaluation of the same image. We proposed a motion blur evaluation method based on the LightGBM ranker model. The method was evaluated and compared with other blind image quality evaluation methods using videos of a mannequin head and real faces. Evaluation results show that the developed method in both cases outperformed sharpness-based, BRISQUE, NIQUE, and PIQUE methods in finding the least motion-blurred image. Full article
(This article belongs to the Special Issue Application of Deep Learning Methods for Multimedia)
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19 pages, 7140 KB  
Article
Rapid and Accurate Production of 3D Point Cloud via Latest-Generation Sensors in the Field of Cultural Heritage: A Comparison between SLAM and Spherical Videogrammetry
by Massimiliano Pepe, Vincenzo Saverio Alfio, Domenica Costantino and Sorin Herban
Heritage 2022, 5(3), 1910-1928; https://doi.org/10.3390/heritage5030099 - 29 Jul 2022
Cited by 31 | Viewed by 4968
Abstract
The manuscript intends to describe different methodologies for the acquisition, data processing, and identification of strategies aimed at improving the quality of 3D point cloud production using latest-generation sensors in the field of cultural heritage surveying. The point clouds taken into consideration were [...] Read more.
The manuscript intends to describe different methodologies for the acquisition, data processing, and identification of strategies aimed at improving the quality of 3D point cloud production using latest-generation sensors in the field of cultural heritage surveying. The point clouds taken into consideration were acquired by passive and active sensors on the Buziaș site, an important historical and architectural structure in Romania. In particular, a spherical camera (Ricoh Theta Z1) was used in order to obtain a video; subsequently, starting from the video, more datasets were extracted and processed in a photogrammetric software based on Structure from Motion and Multi View Stereo algorithms. In addition, a Simultaneous Localization And Mapping (SLAM) sensor (ZEB Revo RT) was used in order to generate a point cloud. The different point clouds produced were compared with the data obtained through a Terrestrial Laser Scanner (TLS) survey. Statistical analyses were carried out to check and validate the results obtained from the comparison between the different techniques and data acquisition methods. The statistical analysis showed that the model obtained with the GeoSLAM was metrically more accurate and detailed than the point cloud generated by the videogrammetric processing highlighted in this study. The paper also analyzes the performance of the three different sensors used, including parameters such as acquisition (timing and ease of use), processing (timing and ease of use), results (accuracy, resolution, and chromatic quality), and costs (instrumental and operator). Full article
(This article belongs to the Special Issue 3D Modeling for Cultural Heritage and Applications)
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1 pages, 202 KB  
Abstract
RETRACTED: On the Use of Stereo-Video System to Assess Microhabitat Preferences of the Spanish Toothcarp and Mosquitofish in Coastal Salt Marshes
by Lluís Zamora
Biol. Life Sci. Forum 2022, 13(1), 83; https://doi.org/10.3390/blsf2022013083 - 13 Jun 2022
Cited by 1 | Viewed by 1165 | Retraction
Abstract
Stereo-video systems (hereafter SVS) have been widely applied to study fish ecology in marine coastal ecosystems and more recently in freshwater, especially in headwater streams, due to their dependence on water clarity. Here, we assess the use of these non-destructive methods to study [...] Read more.
Stereo-video systems (hereafter SVS) have been widely applied to study fish ecology in marine coastal ecosystems and more recently in freshwater, especially in headwater streams, due to their dependence on water clarity. Here, we assess the use of these non-destructive methods to study microhabitat use, size structure, and the abundance of endangered Spanish toothcarp (Apricaphanius iberus) and the invasive mosquitofish (Gambusia holbrooki) in coastal salt marshes. Stereo-video measurements were obtained in situ by means of static pairs of GoPro HERO7 cameras in different shallow coastal lagoons of northeastern Spain. The analysis of stereo-video recordings were processed using the open-source videogrammetry software VidSync 1.661 in order to identify the species, sex, and total length of each fish as well as their relative position in the water column. A total of ninety 17.5 min long stereo-video clips containing more than 7300 fish positions were processed for this study. Fish assemblage and population size structure gathered with this method were compared with catches at the same places using fyke nets. The accuracy and precision of fish-length estimation using SVS was also tested in the lab. SVS revealed differential water-column use, with Spanish toothcarp occurring in a lower-water column. Larger mosquitofish tended to use the upper part of the water column, whereas no clear ontogenetic shift was observed for the Spanish toothcarp. Fyke nets and SVS yielded a similar species composition and considerably correlated with abundances for two species, particularly for mosquitofish, across the six coastal ponds. The size structure varied significantly with the two techniques, with fyke nets apparently being more size-selective as the smallest mosquitofish were underrepresented in fyke nets compared with SVS. Our results suggest that SVS is a non-destructive method that does not require capturing and handling the fish, and they also suggest that it is an ideal technique for studying endangered species, with enormous potential to improve the knowledge of microhabitat use and the behavior of fish species in natural conditions. Full article
(This article belongs to the Proceedings of The IX Iberian Congress of Ichthyology)
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