In this paper, we present a novel web-based collaborative data visualization approach combining the output of multiple rendering methods into a final seamless merged visualization. We have extended an existing web-bas...
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ISBN:
(纸本)9783030259655;9783030259648
In this paper, we present a novel web-based collaborative data visualization approach combining the output of multiple rendering methods into a final seamless merged visualization. We have extended an existing web-based visualization framework Med3D with support for additional visualization plugins and an option for merging the outputs into a seamless final visualization. Such an approach allows users to place the anchors of 3D pinned annotations into volumetric data by ray casting mouse position to selected mesh geometry. The presented web-based collaborative volumetric data visualization framework is to the best of our knowledge the first of it's kind using state-of-the-art volumetric rendering system.
Deploying online experiments requires less cost with less maintenance. This paper investigates the design and implementation of online wiring experiments based on the online experimental platform NCSLab (Networked Con...
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ISBN:
(纸本)9781538635247
Deploying online experiments requires less cost with less maintenance. This paper investigates the design and implementation of online wiring experiments based on the online experimental platform NCSLab (Networked Control System Laboratory). Within the context of the virtual laboratory, the 3D modeling and web-based rendering are explored. Similar to hands-on experiments in physical laboratories, wiring is provided to simulate the wire connection in the real case, and interactions and the design of control algorithms are discussed. The virtual fan speed control system is selected to illustrate the proposed design and implementation method. The result shows that the system can simulate the wiring part of the hands-on experiments with good control performance.
3D point cloud technology facilitates the automated and highly detailed digital acquisition of real-world environments such as assets, sites, cities, and countries;the acquired 3D point clouds represent an essential c...
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ISBN:
(纸本)9781450358002
3D point cloud technology facilitates the automated and highly detailed digital acquisition of real-world environments such as assets, sites, cities, and countries;the acquired 3D point clouds represent an essential category of geodata used in a variety of geoinformation applications and systems. In this paper, we present a web-based system for the interactive and collaborative exploration and inspection of arbitrary large 3D point clouds. Our approach is based on standard-webGL on the client side and is able to render 3D point clouds with billions of points. It uses spatial data structures and level-of-detail representations to manage the 3D point cloud data and to deploy out-of-core and web-based rendering concepts. By providing functionality for both, thin-client and thick-client applications, the system scales for client devices that are vastly different in computing capabilities. Different 3D point-basedrendering techniques and post-processing effects are provided to enable task-specific and data-specific filtering and highlighting, e.g., based on per-point surface categories or temporal information. A set of interaction techniques allows users to collaboratively work with the data, e.g., by measuring distances and areas, by annotating, or by selecting and extracting data subsets. Additional value is provided by the system's ability to display additional, context-providing geodata alongside 3D point clouds and to integrate task-specific processing and analysis operations. We have evaluated the presented techniques and the prototype system with different data sets from aerial, mobile, and terrestrial acquisition campaigns with up to 120 billion points to show their practicality and feasibility.
The potential of web browsers as a platform for remote visualization has long been recognized. One of the motivations behind remote visualization has mainly been large data that cannot be easily transferred to the cli...
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ISBN:
(纸本)9781450330152
The potential of web browsers as a platform for remote visualization has long been recognized. One of the motivations behind remote visualization has mainly been large data that cannot be easily transferred to the client. Further impeding factors for local visualization at the client side included lack of compute power or capabilities as well as lack of native support for hardware-accelerated APIs in the browser. However, moving the visualization to a remote site is challenging because of high latency and low available bandwidth affecting interactivity and visual quality. Although bandwidth is continuously improving, latency remains an issue. To obtain optimal interactivity, the rendering needs to be performed on the client machine. With the introduction of webGL, it is now possible to exploit the power of the GPU inside the browser without third-party additions. We present a GPU-based ray-casting technique for the visualization of molecular structures that adheres to the restrictions of webGL. We describe implementation details with respect to these restrictions and present the results and performance. Biomolecules with tens of thousands of atoms can be rendered at interactive rates. This shows the potential of establishing the web as an attractive platform for interactive visualization using GPU-accelerated algorithms.
Dual-modality 4D cardiac data visualization can convey a significant amount of complementary image information from various sources into a single and meaningful display. Even though there are existing publications on ...
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Dual-modality 4D cardiac data visualization can convey a significant amount of complementary image information from various sources into a single and meaningful display. Even though there are existing publications on combining multiple medical images into a unique representation, there has been no work on rendering a series of cardiac image sequences, acquired from multiple sources, using web browsers and synchronizing the result over the Internet in real time. The ability to display multi-modality beating heart images using web-based technology is hampered by the lack of efficient algorithms for fusing and visualizing constantly updated multi-source images and streaming the rendering results using internet protocols. To address this practical issue, in this paper we introduce a new Internet-based algorithm and a software platform running on a *** server, where a series of registered cardiac images from both magnetic resonance (MR) and ultrasound are employed to display dynamic fused cardiac structures in web browsers. Taking advantage of the bidirectional webSocket protocol and webGLbased graphics acceleration, internal cardiac structures are dynamically displayed, and the results of rendering and data exploration are synchronized among all the connected client computers. The presented research and software have the potential to provide clinicians with comprehensive information and intuitive feedback relating to cardiac behavior and anatomy and could impact areas such as distributed diagnosis of cardiac function and collaborative treatment planning for various heart diseases.
3D point cloud technology facilitates the automated and highly detailed acquisition of real-world environments such as assets, sites, and countries. We present a web-based system for the interactive exploration and in...
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3D point cloud technology facilitates the automated and highly detailed acquisition of real-world environments such as assets, sites, and countries. We present a web-based system for the interactive exploration and inspection of arbitrary large 3D point clouds. Our approach is able to render 3D point clouds with billions of points using spatial data structures and level-of-detail representations. Point-basedrendering techniques and post-processing effects are provided to enable task-specific and data-specific filtering, e.g., based on semantics. A set of interaction techniques allows users to collaboratively work with the data (e.g., measuring distances and annotating). Additional value is provided by the system's ability to display additional, context-providing geodata alongside 3D point clouds and to integrate processing and analysis operations. We have evaluated the presented techniques and in case studies and with different data sets from aerial, mobile, and terrestrial acquisition with up to 120 billion points to show their practicality and feasibility.
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