In this paper, we explore the design space of word-sized visualizations-small graphics, usually the same size as a word, that visualize data in or related to a text-for displaying and exploring categories in social me...
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ISBN:
(纸本)9789897584886
In this paper, we explore the design space of word-sized visualizations-small graphics, usually the same size as a word, that visualize data in or related to a text-for displaying and exploring categories in social media feeds such as Twitter streams. Social media contributions are typically microposts, which allow us to attach word-sized visualizations to show category assignment, diversity, or development. We consider and combine word-sized visualizations made up of basic marks and visual variables, existing word-sized visualization concepts, as well as large text visualizations. In an application example we show how word-sized visualizations can evince context changes within a discussion on Twitter and reveal topic diversity.
Medical imaging (image acquisition, image transformation, and image visualization) is a standard tool for clinicians in order to make diagnoses, plan surgeries, or educate students. Each of these steps is affected by ...
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Medical imaging (image acquisition, image transformation, and image visualization) is a standard tool for clinicians in order to make diagnoses, plan surgeries, or educate students. Each of these steps is affected by uncertainty, which can highly influence the decision-making process of clinicians. visualization can help in understanding and communicating these uncertainties. In this manuscript, we aim to summarize the current state-of-the-art in uncertainty-aware visualization in medical imaging. Our report is based on the steps involved in medical imaging as well as its applications. Requirements are formulated to examine the considered approaches. In addition, this manuscript shows which approaches can be combined to form uncertainty-aware medical imaging pipelines. Based on our analysis, we are able to point to open problems in uncertainty-aware medical imaging.
Reverse time migration is important in GPR image processing, but its efficiency and accuracy need to be improved. In terms of efficiency, reverse time migration uses the Finite Difference Time Domain (FDTD) algorithm ...
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Today, educational tools have become necessary for learners to learn well and improve their knowledge. These tools complement knowledge as they can make it more vivid and add some simulation or game into the learning ...
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Ultrasound imaging plays a crucial role in the detection of breast cancer, offering real-time visualization with high resolution and without ionizing radiation. Accurate segmentation of tumors from ultrasound images i...
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This paper designs a spatial graphics stereotactic system based on virtual reality technology. The system is based on real-time visualization, robotics and virtual reality technologies to assist operators in spatial m...
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Digital twin technology has been widely used in modern industrial and scientific research fields, and its application scenarios are increasingly diversified. However, the current applications have not yet effectively ...
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Recent advancements in scientific imaging techniques have allowed for the visualization and analysis of elaborate structural networks within the human brain. one of these techniques, referred to as diffusion tensor im...
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In this special issue of IEEE Transactions on visualization and computergraphics (TVCG), we are pleased to present the journal papers from the 22nd IEEE international Symposium on Mixed and Augmented Reality (ISMAR 2...
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In this special issue of IEEE Transactions on visualization and computergraphics (TVCG), we are pleased to present the journal papers from the 22nd IEEE international Symposium on Mixed and Augmented Reality (ISMAR 2023), which will be held as a hybrid conference between October 16 and 20, 2023 in Sydney, Australia. ISMAR continues the over twenty-year long tradition of IWAR, ISMR, and ISAR, and is the premier conference for Mixed and Augmented Reality in the world.
The X-SITE CAVE at Freiberg University is an immersive VR platform for interactive scientific visualization. Main features include its tiled-display design yielding a very high visual resolution and its small spatial ...
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ISBN:
(纸本)9783031717062;9783031717079
The X-SITE CAVE at Freiberg University is an immersive VR platform for interactive scientific visualization. Main features include its tiled-display design yielding a very high visual resolution and its small spatial footprint. Since its initial setup in 2008, the system has been under continuous development and modernization. An important aspect is the evolution from a rather expensive and partially proprietary platform to a cost-efficient and open-source driven system. High- and medium cost components like commercial calibration software and the initial set of projectors were gradually replaced by open-source software, in-house developments and off-the-shelf hardware. An overview of the history and the massive changes over time is provided with special focus on more recent developments including hardware upgrades, calibration improvements and integration of modern rendering software. A novelty, to the best of our knowledge, is the integration of the open-source game engine Godot into a CAVE.
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