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Artículos de revistas sobre el tema "Interactive volume visualization"

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1

Dauitbayeva, A. O., A. A. Myrzamuratova, and A. B. Bexeitova. "INTERACTIVE VISUALIZATION TECHNOLOGY IN AUGMENTED REALITY." Bulletin of the Korkyt Ata Kyzylorda University 58, no. 3 (2021): 137–42. http://dx.doi.org/10.52081/bkaku.2021.v58.i3.080.

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This article is devoted to the issues of visualization and information processing, in particular, improving the visualization of three-dimensional objects using augmented reality and virtual reality technologies. The globalization of virtual reality has led to the introduction of a new term "augmented reality"into scientific circulation. If the current technologies of user interfaces are focused mainly on the interaction of a person and a computer, then augmented reality with the help of computer technologies offers improving the interface of a person and the real world around them. Computer g
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2

Stoppel, Sergej, and Stefan Bruckner. "Vol2velle: Printable Interactive Volume Visualization." IEEE Transactions on Visualization and Computer Graphics 23, no. 1 (2017): 861–70. http://dx.doi.org/10.1109/tvcg.2016.2599211.

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3

Parker, S., M. Parker, Y. Livnat, P. P. Sloan, C. Hansen, and P. Shirley. "Interactive ray tracing for volume visualization." IEEE Transactions on Visualization and Computer Graphics 5, no. 3 (1999): 238–50. http://dx.doi.org/10.1109/2945.795215.

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4

Benaro, Jayvee M., Kyle P. Datoy, Rhudy J. Lico Jr., et al. "GeoPUB: A 3d Interactive Visualization Tool for Solid Geometry Learning and Volume Calculations." International Journal of Research Publication and Reviews 6, no. 4 (2025): 16960–69. https://doi.org/10.55248/gengpi.6.0425.16132.

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5

Muigg, P., M. Hadwiger, H. Doleisch, and E. Groller. "Interactive Volume Visualization of General Polyhedral Grids." IEEE Transactions on Visualization and Computer Graphics 17, no. 12 (2011): 2115–24. http://dx.doi.org/10.1109/tvcg.2011.216.

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6

van der Voort, H. T. M., J. M. Messerli, H. J. Noordmans, and A. W. M. Smeulders. "Volume visualization for interactive microscopic image analysis." Bioimaging 1, no. 1 (1993): 20–29. http://dx.doi.org/10.1002/1361-6374(199303)1:1<20::aid-bio5>3.3.co;2-u.

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7

Huang, Jin Ming, and Kun Liang Liu. "Design and Implement on Volume Data Visualization System." Advanced Materials Research 433-440 (January 2012): 5680–85. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.5680.

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Visualization of volume data is an important branch of science computing visualization and its application is very wide. This paper realized an interactive visualization system of regular volume data. Based on volume data visualization, this paper also realized 3-D model’s volume slice and equal-surface real time. It provides strong support for the researcher to find the laws behind the volume data.
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8

Boyles, Michael, and Shiaofen Fang. "3Dive: An Immersive Environment for Interactive Volume Data Exploration." International Journal of Virtual Reality 5, no. 1 (2001): 38–51. http://dx.doi.org/10.20870/ijvr.2001.5.1.2667.

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This paper describes an immersive system, called 3DIVE, for interactive volume data visualization and exploration inside the CAVE virtual environment. Combining interactive volume rendering and virtual reality provides a natural immersive environment for volumetric data visualization. More advanced data exploration operations, such as object level data manipulation, simulation and analysis, are supported in 3DIVE by several new techniques: volume primitives and texture regions are used for the rendering, manipulation, and collision detection of volumetric objects; the region based rendering pi
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9

Kirmizibayrak, Can, Nadezhda Radeva, Mike Wakid, John Philbeck, John Sibert, and James Hahn. "Evaluation of Gesture Based Interfaces for Medical Volume Visualization Tasks." International Journal of Virtual Reality 11, no. 2 (2012): 1–13. http://dx.doi.org/10.20870/ijvr.2012.11.2.2839.

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Interactive systems are increasingly used in medical applications with the widespread availability of various imaging modalities. Gesture-based interfaces can be beneficial to interact with these kinds of systems in a variety of settings, as they can be easier to learn and can eliminate several shortcomings of traditional tactile systems, especially for surgical applications. We conducted two user studies that explore different gesture-based interfaces for interaction with volume visualizations. The first experiment focused on rotation tasks, where the performance of the gesture-based interfac
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10

Cruz, António, Joel P. Arrais, and Penousal Machado. "Interactive and coordinated visualization approaches for biological data analysis." Briefings in Bioinformatics 20, no. 4 (2018): 1513–23. http://dx.doi.org/10.1093/bib/bby019.

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AbstractThe field of computational biology has become largely dependent on data visualization tools to analyze the increasing quantities of data gathered through the use of new and growing technologies. Aside from the volume, which often results in large amounts of noise and complex relationships with no clear structure, the visualization of biological data sets is hindered by their heterogeneity, as data are obtained from different sources and contain a wide variety of attributes, including spatial and temporal information. This requires visualization approaches that are able to not only repr
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11

Suter, S. K., Jose A. Iglesias Guitian, F. Marton, et al. "Interactive Multiscale Tensor Reconstruction for Multiresolution Volume Visualization." IEEE Transactions on Visualization and Computer Graphics 17, no. 12 (2011): 2135–43. http://dx.doi.org/10.1109/tvcg.2011.214.

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12

Fuchs, Franz G., and Jon M. Hjelmervik. "Interactive Isogeometric Volume Visualization with Pixel-Accurate Geometry." IEEE Transactions on Visualization and Computer Graphics 22, no. 2 (2016): 1102–14. http://dx.doi.org/10.1109/tvcg.2015.2430337.

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13

Frey, S., and T. Ertl. "Flow-Based Temporal Selection for Interactive Volume Visualization." Computer Graphics Forum 36, no. 8 (2016): 153–65. http://dx.doi.org/10.1111/cgf.13070.

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14

Schröder, Peter, and Wolfgang Krüger. "Data parallel volume-rendering algorithms for interactive visualization." Visual Computer 9, no. 8 (1993): 405–16. http://dx.doi.org/10.1007/bf01888715.

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15

Weiskopf, D., K. Engel, and T. Ertl. "Interactive clipping techniques for texture-based volume visualization and volume shading." IEEE Transactions on Visualization and Computer Graphics 9, no. 3 (2003): 298–312. http://dx.doi.org/10.1109/tvcg.2003.1207438.

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16

Yu, Jiaqi, Rufu Qin, and Zhounan Xu. "The Implementation of a WebGPU-Based Volume Rendering Framework for Interactive Visualization of Ocean Scalar Data." Applied Sciences 15, no. 5 (2025): 2782. https://doi.org/10.3390/app15052782.

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Visualization contributes to an in-depth understanding of ocean variables and phenomena, and a web-based three-dimensional visualization of ocean data has gained significant attention in oceanographic research. However, many challenges remain to be addressed while performing a real-time interactive visualization of large-volume heterogeneous scalar datasets in a web environment. In this study, we propose a WebGPU-based volume rendering framework for an interactive visualization of ocean scalar data. The ray casting algorithm, optimized with early ray termination and adaptive sampling methods,
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17

Langer, C., L. Fritz, M. Hadwiger, S. Wolfsberger, K. Bühler, and J. Beyer. "Interactive Diffusion-based Smoothing and Segmentation of Volumetric Datasets on Graphics Hardware." Methods of Information in Medicine 46, no. 03 (2007): 270–74. http://dx.doi.org/10.1160/me9042.

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Summary Objective : Volume segmentation with concurrent visualization is becoming an increasingly important part of medical diagnostics. This is due to the fact that the immediate visual feedback speeds up evaluation of the segmentation process, hence enhances segmentation quality. Therefore, our aim was to develop a method for volume segmentation and smoothing which achieves interactive performance on standard PCs and is useful in clinical practice (i.e. fast and of high quality). Methods : Our application is based on seeded region growing and nonlinear isotropic as well as anisotropic diffus
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18

Campoalegre, Lázaro, Pere Brunet, and Isabel Navazo. "Interactive visualization of medical volume models in mobile devices." Personal and Ubiquitous Computing 17, no. 7 (2012): 1503–14. http://dx.doi.org/10.1007/s00779-012-0596-0.

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19

Suter, S. K., M. Makhynia, and R. Pajarola. "TAMRESH - Tensor Approximation Multiresolution Hierarchy for Interactive Volume Visualization." Computer Graphics Forum 32, no. 3pt2 (2013): 151–60. http://dx.doi.org/10.1111/cgf.12102.

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20

Fang, Shiaofen, Yi Dai, Frederick Myers, Mihran Tuceryan, and Kenneth Dunn. "Three-dimensional microscopy data exploration by interactive volume visualization." Scanning 22, no. 3 (2006): 218–26. http://dx.doi.org/10.1002/sca.4950220310.

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21

Nelson, Thomas R., and Dolores H. Pretorius. "Interactive acquisition, analysis, and visualization of sonographic volume data." International Journal of Imaging Systems and Technology 8, no. 1 (1997): 26–37. http://dx.doi.org/10.1002/(sici)1098-1098(1997)8:1<26::aid-ima4>3.0.co;2-v.

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22

KUMAR, PIYUSH, and ANUPAM AGRAWAL. "GPU-ACCELERATED INTERACTIVE VISUALIZATION OF 3D VOLUMETRIC DATA USING CUDA." International Journal of Image and Graphics 13, no. 02 (2013): 1340003. http://dx.doi.org/10.1142/s0219467813400032.

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Improving the image quality and the rendering speed have always been a challenge to the programmers involved in large scale volume rendering especially in the field of medical image processing. The paper aims to perform volume rendering using the graphics processing unit (GPU), in which, with its massively parallel capability has the potential to revolutionize this field. This work is now better with the help of GPU accelerated system. The final results would allow the doctors to diagnose and analyze the 2D computed tomography (CT) scan data using three dimensional visualization techniques. Th
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23

Takanashi, Ikuko, Shigeru Muraki, Eric B. Lum, and Kwan-Liu Ma. "An Interactive Segmentation & Visualization Technique for Multispectral Volume Data." Journal of the Institute of Image Information and Television Engineers 56, no. 6 (2002): 963–72. http://dx.doi.org/10.3169/itej.56.963.

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24

Rieder, Christian, Felix Ritter, Matthias Raspe, and Heinz-Otto Peitgen. "Interactive Visualization of Multimodal Volume Data for Neurosurgical Tumor Treatment." Computer Graphics Forum 27, no. 3 (2008): 1055–62. http://dx.doi.org/10.1111/j.1467-8659.2008.01242.x.

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25

Sommer, Ove, Alexander Dietz, Rüdiger Westermann, and Thomas Ertl. "An interactive visualization and navigation tool for medical volume data." Computers & Graphics 23, no. 2 (1999): 233–44. http://dx.doi.org/10.1016/s0097-8493(99)00033-3.

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26

Maxime, Guilbot, and Xin Yang. "Fast interactive volume rendering method for adjustable vessel segmentation visualization." Journal of Shanghai University (English Edition) 12, no. 3 (2008): 240–48. http://dx.doi.org/10.1007/s11741-008-0310-2.

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27

Sohn, Bong-Soo. "Development of Interactive 3D Volume Visualization Techniques Using Contour Trees." Journal of the Korea Society of Computer and Information 16, no. 11 (2011): 67–76. http://dx.doi.org/10.9708/jksci.2011.16.11.067.

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28

FANG, SHIAOFEN, and MARWAN ADADA. "MULTI-SCALE ISO-SURFACE EXTRACTION FOR VOLUME VISUALIZATION." International Journal of Image and Graphics 06, no. 02 (2006): 173–85. http://dx.doi.org/10.1142/s0219467806002185.

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This paper describes a new multi-scale approach for the extraction of iso-surfaces from volume datasets. The goal is to automatically identify iso-surfaces that best approximate the boundary surfaces at different levels of details. Using histogram analysis, iso-values are extracted from histograms of boundary voxels defined by gradient thresholding or zero-crossing boundaries. Multi-scale smoothing of the histogram using Gaussian filters of various sizes allows the iso-surfaces to be defined hierarchically over a scale space map. It provides an interactive environment and volume navigation too
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29

Rowden, Alexander, Eric Krokos, Kirsten Whitley, and Amitabh Varshney. "Visualization of WiFi Signals Using Programmable Transfer Functions." Information 13, no. 5 (2022): 224. http://dx.doi.org/10.3390/info13050224.

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In this paper, we show how volume rendering with a Programmable Transfer Function can be used for the effective and comprehensible visualization of WiFi signals. A traditional transfer function uses a low-dimensional lookup table to map the volumetric scalar field to color and opacity. In this paper, we present the concept of a Programmable Transfer Function. We then show how generalizing traditional lookup-based transfer functions to Programmable Transfer Functions enables us to leverage view-dependent and real-time attributes of a volumetric field to depict the data variations of WiFi surfac
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30

Rowden, Alexander, Eric Krokos, Kirsten Whitley, and Amitabh Varshney. "Visualization of WiFi Signals Using Programmable Transfer Functions." Information 13, no. 5 (2022): 224. http://dx.doi.org/10.3390/info13050224.

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In this paper, we show how volume rendering with a Programmable Transfer Function can be used for the effective and comprehensible visualization of WiFi signals. A traditional transfer function uses a low-dimensional lookup table to map the volumetric scalar field to color and opacity. In this paper, we present the concept of a Programmable Transfer Function. We then show how generalizing traditional lookup-based transfer functions to Programmable Transfer Functions enables us to leverage view-dependent and real-time attributes of a volumetric field to depict the data variations of WiFi surfac
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31

Hacker, S., and H. Handels. "A Framework for Representation and Visualization of 3D Shape Variability of Organs in an Interactive Anatomical Atlas." Methods of Information in Medicine 48, no. 03 (2009): 272–81. http://dx.doi.org/10.3414/me0551.

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Summary Objectives: Computerized anatomical 3D atlases allow interactive exploration of the human anatomy and make it easy for the user to comprehend complex 3D structures and spatial interrelationships among organs. Besides the anatomy of one reference body inter-individual shape variations of organs in a population are of interest as well. In this paper, a new framework for representation and visualization of 3D shape variability of anatomical objects within an interactive 3D atlas is presented. Methods: In the VOXEL-MAN atlases realistic 3D visualizations of organs in high quality are gener
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32

Gupta, Yubraj, Carlos Costa, Eduardo Pinho, Luís A. Bastião Silva, and Rainer Heintzmann. "IMAGE-IN: Interactive web-based multidimensional 3D visualizer for multi-modal microscopy images." PLOS ONE 17, no. 12 (2022): e0279825. http://dx.doi.org/10.1371/journal.pone.0279825.

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Advances in microscopy hardware and storage capabilities lead to increasingly larger multidimensional datasets. The multiple dimensions are commonly associated with space, time, and color channels. Since “seeing is believing”, it is important to have easy access to user-friendly visualization software. Here we present IMAGE-IN, an interactive web-based multidimensional (N-D) viewer designed specifically for confocal laser scanning microscopy (CLSM) and focused ion beam scanning electron microscopy (FIB-SEM) data, with the goal of assisting biologists in their visualization and analysis tasks a
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33

Singh, Kishore, and Peter Best. "Interactive visual analysis of anomalous accounts payable transactions in SAP enterprise systems." Managerial Auditing Journal 31, no. 1 (2016): 35–63. http://dx.doi.org/10.1108/maj-10-2014-1117.

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Purpose – The purpose of this paper is to demonstrate the technical feasibility of implementing multi-view visualization methods to assist auditors in reviewing the integrity of high-volume accounting transactions. Modern enterprise resource planning (ERP) systems record several thousands of transactions daily. This makes it difficult to find a few instances of anomalous activities among legitimate transactions. Although continuous auditing and continuous monitoring systems perform substantial analytics, they often produce lengthy reports that require painstaking post-analysis. Approaches that
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34

WANG, ZHENLAN, CHEE-KONG CHUI, YIYU CAI, CHUAN-HENG ANG, and SWEE-HIN TEOH. "DYNAMIC LINEAR LEVEL OCTREE-BASED VOLUME RENDERING METHODS FOR INTERACTIVE MICROSURGICAL SIMULATION." International Journal of Image and Graphics 06, no. 02 (2006): 155–71. http://dx.doi.org/10.1142/s0219467806002173.

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Microsurgery is a highly complex surgical procedure on small body parts performed by a dedicated surgical team. An operating microscope is typically used to obtain a precise view of the soft tissues. The complexity of the microsurgical procedure makes it a suitable application of virtual/augmented reality technology for training purpose. In this paper, we present an overview of our simulator and then describe in details the visualization work that reconstructs the magnified view of the operating area from medical images. The visualization component is based entirely on our newly proposed dynam
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35

Gallo, Luigi, and Alessio Pierluigi Placitelli. "High-Fidelity Visualization of Large Medical Datasets on Commodity Hardware." ISRN Biomedical Engineering 2013 (June 27, 2013): 1–9. http://dx.doi.org/10.1155/2013/892967.

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Recent advances in CT and MRI static and dynamic scanning techniques have led to great improvements in the resolution and size of volumetric medical datasets, and this trend is still ongoing. However, the explosion of dataset size prevents clinicians from taking advantage of an interactive, high-resolution exploration of volumetric medical data on commodity hardware, due to the memory constraints of modern graphics cards. This paper presents a hybrid CPU-GPU volume ray-casting method and some hybrid-based inspection tools aimed at providing interactive, medical-quality visualization using an o
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36

Lv, Teng, Jun Fu, and Bao Li. "Design and Application of Multi-Dimensional Visualization System for Large-Scale Ocean Data." ISPRS International Journal of Geo-Information 11, no. 9 (2022): 491. http://dx.doi.org/10.3390/ijgi11090491.

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With the constant deepening of research on marine environment simulation and information expression, there are higher and higher requirements for the sense of the reality of ocean data visualization results and the real-time interaction in the visualization process. Aiming at the challenges of 3D interactive key technology and GPU-based visualization algorithm technology, we developed a visualization system for large-scale 3D marine environmental data. The system realizes submarine terrain rendering, contour line visualization, isosurface visualization, section visualization, volume visualizat
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37

Lesev, Hristo, and Alexander Penev. "A Framework for Visual Dynamic Analysis of Ray Tracing Algorithms." Cybernetics and Information Technologies 14, no. 2 (2014): 38–49. http://dx.doi.org/10.2478/cait-2014-0018.

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Abstract A novel approach is presented for recording high volume data about ray tracing rendering systems' runtime state and its subsequent dynamic analysis and interactive visualization in the algorithm computational domain. Our framework extracts light paths traced by the system and leverages on a powerful filtering subsystem, helping interactive visualization and exploration of the desired subset of recorded data. We introduce a versatile data logging format and acceleration structures for easy access and filtering. We have implemented a plugin based framework and a tool set that realize al
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38

Sarthou, A., S. Mas, M. Jacquin, N. Moreno, and A. Salamon. "EARTHSCAPE, A MULTI-PURPOSE INTERACTIVE 3D GLOBE VIEWER FOR HYBRID DATA VISUALIZATION AND ANALYSIS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-3/W3 (August 20, 2015): 487–93. http://dx.doi.org/10.5194/isprsarchives-xl-3-w3-487-2015.

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The hybrid visualization and interaction tool EarthScape is presented here. The software is able to display simultaneously LiDAR point clouds, draped videos with moving footprint, volume scientific data (using volume rendering, isosurface and slice plane), raster data such as still satellite images, vector data and 3D models such as buildings or vehicles. The application runs on touch screen devices such as tablets. The software is based on open source libraries, such as OpenSceneGraph, osgEarth and OpenCV, and shader programming is used to implement volume rendering of scientific data. The ne
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39

Tomandl, Bernd F., Peter Hastreiter, Knut E. W. Eberhardt, et al. "Virtual Labyrinthoscopy: Visualization of the Inner Ear with Interactive Direct Volume Rendering." RadioGraphics 20, no. 2 (2000): 547–58. http://dx.doi.org/10.1148/radiographics.20.2.g00mc11547.

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40

Tomandl, Bernd F., Peter Hastreiter, Christof Rezk-Salama, et al. "Local and Remote Visualization Techniques for Interactive Direct Volume Rendering in Neuroradiology." RadioGraphics 21, no. 6 (2001): 1561–72. http://dx.doi.org/10.1148/radiographics.21.6.g01nv241561.

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41

Li, Pan, Zhao Jun Zhou, and Meng Huang. "Study on 3D Seismic Data Field Hybrid Rendering Technique of Natural Gas Hydrate." Applied Mechanics and Materials 539 (July 2014): 161–64. http://dx.doi.org/10.4028/www.scientific.net/amm.539.161.

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3D visualization technology is a tool used for displaying, describing, and understanding the characteristics of geologic bodies, and features high efficiency, objective accuracy, visual expression, etc. In this paper, the man-machine interactive interpretation and 3D visualization technology rapidly displaying and analyzing the 3D seismic data of hydrate ore volume is researched and developed using the hybrid rendering technique. Through the integrated interpretation on the 3D space structure, stratum, and seismic attributes, the visualized multi-attribute superimposition analysis is implement
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42

Golby, Alexandra J., Gordon Kindlmann, Isaiah Norton, Alexander Yarmarkovich, Steven Pieper, and Ron Kikinis. "Interactive Diffusion Tensor Tractography Visualization for Neurosurgical Planning." Neurosurgery 68, no. 2 (2011): 496–505. http://dx.doi.org/10.1227/neu.0b013e3182061ebb.

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Abstract BACKGROUND: Diffusion tensor imaging (DTI) infers the trajectory and location of large white matter tracts by measuring the anisotropic diffusion of water. DTI data may then be analyzed and presented as tractography for visualization of the tracts in 3 dimensions. Despite the important information contained in tractography images, usefulness for neurosurgical planning has been limited by the inability to define which are critical structures within the mass of demonstrated fibers and to clarify their relationship to the tumor. OBJECTIVE: To develop a method to allow the interactive que
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43

Згода, Юрий Николаевич, Алексей Александрович Семенов, and Борис Георгиевич Вагер. "Features of BIM-model preparation for photorealistic interactive visualization in virtual and augmented reality." Вычислительные технологии, no. 4(25) (September 16, 2020): 69–82. http://dx.doi.org/10.25743/ict.2020.25.4.007.

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Описан высокоэффективный алгоритм экспорта BIM-моделей из BIM-пакета Autodesk Revit с целью построения интерактивной визуализации в виртуальной и дополненной реальности. Для демонстрации эффективности алгоритма выполнена его апробация на информационной модели с высокой степенью детализации. Проведен сравнительный анализ с различными программными комплексами, автоматизирующими экспорт BIM-моделей Purpose: built-in tools of software packages, such as Autodesk Revit or Renga do not allow rendering realistic BIM-model. Visualization tools of various graphical packages (Autodesk 3ds Max, Blender, C
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44

Dai, Yakang, Jian Zheng, Yuetao Yang, Duojie Kuai, and Xiaodong Yang. "Volume-Rendering-Based Interactive 3D Measurement for Quantitative Analysis of 3D Medical Images." Computational and Mathematical Methods in Medicine 2013 (2013): 1–9. http://dx.doi.org/10.1155/2013/804573.

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3D medical images are widely used to assist diagnosis and surgical planning in clinical applications, where quantitative measurement of interesting objects in the image is of great importance. Volume rendering is widely used for qualitative visualization of 3D medical images. In this paper, we introduce a volume-rendering-based interactive 3D measurement framework for quantitative analysis of 3D medical images. In the framework, 3D widgets and volume clipping are integrated with volume rendering. Specifically, 3D plane widgets are manipulated to clip the volume to expose interesting objects. 3
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45

Hassan, A. H., C. J. Fluke, and D. G. Barnes. "A Distributed GPU-Based Framework for Real-Time 3D Volume Rendering of Large Astronomical Data Cubes." Publications of the Astronomical Society of Australia 29, no. 3 (2012): 340–51. http://dx.doi.org/10.1071/as12025.

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AbstractWe present a framework to volume-render three-dimensional data cubes interactively using distributed ray-casting and volume-bricking over a cluster of workstations powered by one or more graphics processing units (GPUs) and a multi-core central processing unit (CPU). The main design target for this framework is to provide an in-core visualization solution able to provide three-dimensional interactive views of terabyte-sized data cubes. We tested the presented framework using a computing cluster comprising 64 nodes with a total of 128 GPUs. The framework proved to be scalable to render
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46

Tian, Fenglin, Qing Mao, Yazhen Zhang, and Ge Chen. "i4Ocean: transfer function-based interactive visualization of ocean temperature and salinity volume data." International Journal of Digital Earth 14, no. 6 (2021): 766–88. http://dx.doi.org/10.1080/17538947.2021.1886355.

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Zhang, Qi, Roy Eagleson, and Terry M. Peters. "Rapid scalar value classification and volume clipping for interactive 3D medical image visualization." Visual Computer 27, no. 1 (2010): 3–19. http://dx.doi.org/10.1007/s00371-010-0509-z.

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Ihm, Insung, and Sanghun Park. "Wavelet-Based 3D Compression Scheme for Interactive Visualization of Very Large Volume Data." Computer Graphics Forum 18, no. 1 (1999): 3–15. http://dx.doi.org/10.1111/1467-8659.00298.

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Arvind, Uttiramerur. "Data visualization for clinical data using SAS. Visualize clinical data using SAS, such as heatmaps, scatter plots, and interactive dashboards." European Journal of Advances in Engineering and Technology 5, no. 12 (2018): 1082–92. https://doi.org/10.5281/zenodo.12759058.

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The rise, in data complexity and volume in trials has led to an increase in the creation of Statistical Tables, Figures and Listings (TFLs). This growth presents a challenge for professionals like Statistical Programmers, Biostatisticians, Clinicians, Medical Writers and others involved in producing, reviewing and summarizing trial details in a study report (CSR). To tackle this issue there is a growing demand to present trial results, in an engaging and efficient way. This article suggests a method to achieve this goal by utilizing representations. These visual aids come in formats. Mainly ai
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Paiz-Reyes, Evelyn, Mathieu Brédif, and Sidonie Christophe. "Cluttering Reduction for Interactive Navigation and Visualization of Historical Images." Proceedings of the ICA 4 (December 3, 2021): 1–7. http://dx.doi.org/10.5194/ica-proc-4-81-2021.

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Abstract. Iconographic representations, such as historical photos of geographic spaces, are precious cultural heritage resources capable of describing a particular geographical area’s evolution over time. These photographic collections may vary in size, between hundreds and thousands of items. With the advent of the digital era, many of these documents have been digitized, spatialized, and are available online. Browsing through these digital image collections represents new challenges. This paper examines the topic of historical image exploration in a virtual environment enabling the co-visual
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