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15 results for “3D imaging system”
Dataset for Fisher et al. (2023). Motion stereo at sea: Dense 3D reconstruction from image sequences monitoring conveyor systems on board fishing vessels. IET Image Processing, 17(2), pp.349-361.
<p>This dataset contains the video clips used to produce the results presented in:</p><p>Fisher, M., French, G., Gorpincenko, A., Holah, H., Clayton, L., Skirrow, R. and Mackiewicz, M., 2023. Motion stereo at sea: Dense 3D reconstruction from image sequences monitoring conveyor systems on board fishing vessels. IET Image Processing, 17(2), pp.349-361.</p>
Data for: High-Speed 3D Imaging of Multiphase Systems: Applying SCAPE Microscopy to Analogue Experiments in Volcanology and Earth Sciences
<p>Microscale processes in three-phase suspensions (mixtures of gas, liquids, and solids) can affect the macroscale behavior of the whole suspension. To visualize these small-scale processes at high speed and in 3D, we use a recently developed imaging system: Swept Confocally-Aligned Planar Excitation (SCAPE) microscopy. This dataset contains 3D videos taken with SCAPE microscopy of experiments where different phases interact with each other. Each zipped folder contains raw data and processed data for a single experiment. "Case 1" experiments show CO2 bubbles growing on PMMA (acrylic) particles in sparkling water. The "Case 2" experiment shows water droplets suspended in canola oil and flowing through a porous medium made of packed PMMA particles. "Case 3" experiments show growth of injected air bubbles in particle suspensions (either glass beads in immersion oil, or PMMA particles in a refractive index matched liquid).</p> <p>All scaling parameters are provided in Table 1. "info.txt" files contain metadata for the processed hyperstacks.</p> <p>The experiments provided here are discussed in the following publication:<br> Oppenheimer, J.*, Patel, K.*, Lindoo, A., Hillman, E. M. C., and Lev, E.: High-Speed 3D Imaging of Multiphase Systems: Applying SCAPE Microscopy to Analogue Experiments in Volcanology and Earth Sciences. <em>Geochemistry, Geophysics, Geosystems.</em> (In press, 12/2020)</p> <p><br> </p>
A Novel, Low-Cost, Handheld 3D Imaging System for Improved Screening for Cervical Neoplasia in Resource-Limited Settings
ClinicalTrials.gov study NCT06810427. IPD Sharing: NO. Countries: 1. Publications: 10.
Image Fusion System for 3D Preoperative Planning in the Osteosynthesis and Osteotomy
ClinicalTrials.gov study NCT03764501. IPD Sharing: NO. Countries: 1. Publications: 2.
3D ground truth annotations of cleared whole mouse brain nuclei imaged with a mesoSPIM system
<p>Please see Achard et al. 2024 for Data Card and other information.</p>
[LS2N_IPI_DIBR_Videos] 3D-TV System with Depth-Image-Based Rendering Architectures, Techniques and Challenges
<h3>Presentation & Goal</h3> <p>The <strong>IRCCyN IVC DIBR Videos</strong> quality database contains <strong>102 video sequences</strong> of 6 seconds in 1024x768 resolution with between 15 and 30 frames per second. Individual votes and Mean Opinion Scores (MOS) obtained by an Absolute Category Rating with Hidden Reference (ACR-HR) experiment are provided.</p> <p>Three different multiview plus depth (MVD) sequences are considered in this database. The sequences are Book Arrival (1024x768, 16 cameras with 6.5cm spacing), Lovebird1 (1024x768, 12 cameras with 3.5 cm spacing) and Newspaper (1024x768, 9 cameras with 5 cm spacing). Seven DIBR algorithms processed the three sequences to generate, for each sequence, four new viewpoints.</p> <h4>Initial goal</h4> <p>This database was done to consider the reliability of usual assessment methods when evaluating virtual synthesized views in the multiview video context. Virtual views are generated from Depth Image Based Rendering (DIBR) algorithms. Because DIBR algorithms involve geometric transformations, new types of artifacts come up. The question regards the ability of commonly used methods to deal with such artifacts.</p> <h4>Possible usage</h4> <p>This video quality database can be used to test a video quality metric precision in a context of DIBR.</p> <p> </p> <p> </p> <h3>Dataset description</h3> <div> <p>We used Absolute Category Rating - Hidden Reference (<strong>ACR-HR</strong>) and as test methodology.</p> <p>We provide a <a href="https://web.archive.org/web/20200219062815/ftp://ftp.ivc.polytech.univ-nantes.fr//IRCCyN_IVC_DIBR_Videos/IRCCyN_IVC_DIBR_Videos_Scores.xls">spreadsheet</a> with the individual scores, the Mean Opinion Score (MOS) and the Differential Mean Opinion Score (DMOS) for each of the 102 Processed Video Sequences (PVS).</p> <p>The <a href="https://web.archive.org/web/20200219062815/ftp://ftp.ivc.polytech.univ-nantes.fr//IRCCyN_IVC_DIBR_Videos/Videos">PVS (avi videos)</a> are available on our FTP server and are in the AVI format.</p> <p>The information about the source contents, video tested generation, subjective experiment environment and available data are provided in a <a href="https://web.archive.org/web/20200219062815/ftp://ftp.ivc.polytech.univ-nantes.fr//IRCCyN_IVC_DIBR_Videos/IRCCyN_IVC_DIBR_Videos_Description_v1.0.pdf">description file</a>.</p> <h4>Source contents (SRC)</h4> <table> <tbody> <tr> <th> <h4>Source number</h4> </th> <td> <h4>Source name</h4> </td> <td> </td> <td> <h4>Description</h4> </td> </tr> <tr> <th>01</th> <td><strong>Book Arrival</strong></td> <td> </td> <td><u>Description</u> : A man in an office standing up to welcome another man. <br><u>Author</u> : Heinrich-Hertz-Institut. <br><u>Video frame rate</u> : 15Hz <br><u>Number of frames</u> : 100</td> </tr> <tr> <th>02</th> <td><strong>Lovebird1</strong></td> <td> </td> <td><u>Description</u> : A couple walking in front of a temple. <br><u>Author</u> : Electronics and Telecommunications Research Institute (ETRI). <br><u>Video frame rate</u> : 30Hz <br><u>Number of frames</u> : 150</td> </tr> <tr> <th>03</th> <td><strong>Newspaper</strong></td> <td> </td> <td><u>Description</u> : A man and a girl reading the newspaper around a table when a man coming behind them. <br><u>Author</u> : Gwangju Institute of Science and Technology (GIST). <br><u>Video frame rate</u> : 30Hz <br><u>Number of frames</u> : 200</td> </tr> </tbody> </table> <p> </p> <p> </p> <h3>Hypothetical Reference Circuits (HRC)</h3> <div> <p>The Processed Video Sequences (PVS) were created using the following Hypothetical Reference Circuits (HRC).</p> <table> <tbody> <tr> <th>HRC name</th> <th>HRC description</th> </tr> </tbody> <tbody> <tr> <td>cam_xx</td> <td>[No impairment - Reference sequence view 1]</td> </tr> <tr> <td>cam_yy</td> <td>[No impairment - Reference sequence view 2]</td> </tr> <tr> <td>cam_zz</td> <td>[No impairment - Reference sequence view 3]</td> </tr> <tr> <td>A1</td> <td>Fehn cropped : where the depth map is pre-processed by a low-pass filter. Borders are cropped, and then an interpolation is processed to reach the original size.</td> </tr> <tr> <td>A2</td> <td>Fehn interpolated : Borders are inpainted by the method proposed by Telea</td> </tr> <tr> <td>A3</td> <td>Tanimoto et al., it is the recently adopted reference software for the experiments in the 3D Video group of MPEG.</td> </tr> <tr> <td>A4</td> <td>Müller et al., proposed a hole filling method aided by depth information.</td> </tr> <tr> <td>A5</td> <td>Ndjiki-Nya et al., the hole filling method is a patch-based texture synthesis.</td> </tr> <tr> <td>A6</td> <td>Köppel et al., uses depth temporal information to improve the synthesis in the disoccluded areas.</td> </tr> <tr> <td>A7</td> <td>corresponds to the unfilled sequences (i.e. with holes).</td> </tr> <tr> <td>cam_xx_qp26</td> <td>Reference sequence view 1 coded by H.264 with a QP = 26</td> </tr> <tr> <td>cam_xx_qp34</td> <td>Reference sequence view 1 coded by H.264 with a QP = 34</td> </tr> <tr> <td>cam_xx_qp44</td> <td>Reference sequence view 1 coded by H.264 with a QP = 44</td> </tr> </tbody> </table> <p>There are several references (3 first lines of the table) for each content, because there are the 3 views used for each content. So there are 3 HRC with no impairment.</p> <p> </p> <p> </p> <h3>Experiment information</h3> <div> <table> <tbody> <tr> <td> <h4>Features</h4> </td> <td> <h4>Value</h4> </td> </tr> <tr> <td><strong>Highlights of this database</strong></td> <td>Depth Images Based Rendering</td> </tr> <tr> <td>Free-viewpoint</td> </tr> <tr> <td>video quality</td> </tr> <tr> <td><strong>Video</strong></td> </tr> <tr> <td><strong>Frame frequency</strong></td> <td>30 or 15Hz</td> </tr> <tr> <td><strong>Video format</strong></td> <td>1024x768</td> </tr> <tr> <td><strong>Video length</strong></td> <td>100, 150 or 200 frames</td> </tr> <tr> <td><strong>Video duration</strong></td> <td>5 to 7 seconds</td> </tr> <tr> <td><strong>Number of videos</strong></td> <td>102</td> </tr> <tr> <td><strong>Subjective test</strong></td> </tr> <tr> <td><strong>Observation distance</strong></td> <td>4H</td> </tr> <tr> <td><strong>Environment</strong></td> <td>ITU-R BT.500-11</td> </tr> <tr> <td><strong>Background luminance</strong></td> <td>25cd/m²</td> </tr> <tr> <td><strong>Methodology</strong></td> <td>ACR</td> </tr> <tr> <td><strong>Duration</strong></td> <td>30 minutes</td> </tr> <tr> <td><strong>Pre screening</strong></td> <td>Snellen, Ishihara</td> </tr> <tr> <td><strong>Post screening (Rejection method)</strong></td> <td>VQEG Multimedia</td> </tr> <tr> <td><strong>Observers</strong></td> </tr> <tr> <td><strong>Number of observers</strong></td> <td>32 naives</td> </tr> <tr> <td><strong>Display</strong></td> </tr> <tr> <td><strong>Display</strong></td> <td>TVLogic LMV401</td> </tr> <tr> <td><strong>Display resolution</strong></td> <td>Full HD (1920x1080 pixels)</td> </tr> <tr> <td><strong>Display frequency</strong></td> <td>60Hz</td> </tr> <tr> <td><strong>Display mode</strong></td> <td>progressive</td> </tr> <tr> <td><strong>Display luminance max</strong></td> <td>180cd/m²</td> </tr> </tbody> </table> </div> </div> </div>
Objective Evaluation of the Effect of Oculoplastic Operations Using the Vectra M 3D Imaging System
ClinicalTrials.gov study NCT06040671. IPD Sharing: NO. Countries: 1. Publications: 0.
Development of an Aid to Melanoma Detection Using Artificial Intelligence Algorithms Based on Images From the VECTRA 3D System.
ClinicalTrials.gov study NCT06999499. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Prediction of 3D Effect of Brace in Idiopathic Scoliosis Treatment Using EOS Imaging System and "Anatomic Transfer".
ClinicalTrials.gov study NCT03209752. IPD Sharing: NO. Countries: 1. Publications: 0.
Evaluation of a 3D Functional Metabolic Imaging and Risk Assessment System for Classifying Women at High Risk of Breast Cancer
ClinicalTrials.gov study NCT02777164. IPD Sharing: NO. Countries: 1. Publications: 0.
3D Personalized Modelization of the Hand Using EOS Imaging System
ClinicalTrials.gov study NCT04895891. IPD Sharing: NO. Countries: 1. Publications: 0.
Evaluation of a 3D Functional Metabolic Imaging and Risk Assessment System in Classifying Women for Likelihood of Breast Cancer
ClinicalTrials.gov study NCT03296683. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Evaluation of Real Imaging's 3D Functional Metabolic Imaging and Risk Assessment (MIRA) System
ClinicalTrials.gov study NCT02155075. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Research and System Development on Functional 3D Optical Tomography for Skin Cell Imaging
ClinicalTrials.gov study NCT01557205. IPD Sharing: Not stated. Countries: 0. Publications: 0.
L-Gastrectomy With the Intelligent Navigation 4K UHD 3D Endoscopic Imaging System
ClinicalTrials.gov study NCT04526483. IPD Sharing: UNDECIDED. Countries: 0. Publications: 0.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.