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16th International Conference on computer graphics, Visualization, computer Vision and Image Processing, CGVCVIP 2022, 8th International Conference on Connected Smart Cities, CSC 2022, 7th International Conference on Big Data Analytics, Data Mining and Computational Intelligence, BigDaCI 2022, and 11th International Conference on theory and practice in Modern Computing, TPMC 2022 - Held at the 16th Multi Conference on computer Science and Information Systems, MCCSIS 2022

16th International Conference on Computer Graphics, Visualiz...

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16th International Conference on computer graphics, Visualization, computer Vision and Image Processing, CGVCVIP 2022, 8th International Conference on Connected Smart Cities, CSC 2022, 7th International Conference on Big Data Analytics, Data Mining and Computational Intelligence, BigDaCI 2022, and 11th International Conference on theory and practice in Modern Computing, TPMC 2022 - Held at the 16th Multi Conference on computer Science and Information Systems, MCCSIS 2022

ISBN: (纸本)9789898704429

The proceedings contain 32 papers. The topics discussed include: professional course offered within a technical academy concerning the innovative BIM technology;heatmap matrix: using reordering, discretization and filtering resources to assist multidimensional data analysis;BIM teaching and programing in dynamo applied in the maintenance of buildings;3D pose estimation by grouped feature fusion and motion amplitude encoding;identifying wear particles with their shape attribute;using reorderable heatmaps as a support for data assimilation in petroleum reservoir management and development processes;detection of fashion landmarks based on pose estimation and human parsing;design elements extraction based on unsupervised segmentation and compact vectorization;domain adaptation in image dehazing: exploring the usage of images from virtual scenarios;and interpolation and context magnification framework for classification of scene images.

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Proceedings of the 14th IADIS International Conference computer graphics, Visualization, computer Vision and Image Processing 2020, CGVCVIP 2020 and Proceedings of the 5th IADIS International Conference Big Data Analytics, Data Mining and Computational Intelligence 2020, BigDaCI 2020 and Proceedings of the 9th IADIS International Conference theory and practice in Modern Computing 2020, TPMC 2020 - Part of the 14th Multi Conference on computer Science and Information Systems, MCCSIS 2020

Proceedings of the 14th IADIS International Conference Compu...

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14th IADIS International Conference computer graphics, Visualization, computer Vision and Image Processing 2020, CGVCVIP 2020 and 5th IADIS International Conference Big Data Analytics, Data Mining and Computational Intelligence 2020, BigDaCI 2020 and 9th IADIS International Conference theory and practice in Modern Computing 2020, TPMC 2020, Part of the 14th Multi Conference on computer Science and Information Systems, MCCSIS 2020

ISBN: (纸本)9789898704214

The proceedings contain 35 papers. The topics discussed include: data-driven approach for generating colormaps of scientific simulation data;a 3D-shockwave volume rendering algorithm based on feature boundary detection;using reorderable matrices to compare risk curves of representative models in oil reservoir development and management activities;laser spot detection and characteristic analysis in plasma interaction simulation;hybrid sort a pattern-focused matrix reordering approach based on classification;data interpolation based on contextual analysis for generating tomographic images in concrete specimen;graphical user interface personalization: user study of image frequency preferences;evaluation of color spaces for unsupervised and deep learning skin lesion segmentation;and repeated pattern extraction with knowledge-based attention and semantic embeddings.

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IEEE computer graphics and Applications

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IEEE computer graphics and Applications

作者： The Institute of Electrical and Electronics Engineers

出版社：IEEE COMPUTER SOC

IEEE computer graphics and Applications (CG&A) bridges the theory and practice of computer graphics. From specific algorithms to full system implementations, CG&A offers a unique combination of peer-reviewed feature articles and informal departments, including product announcements. Special applications sidebars relate research stories to commercial development. A cover story focuses on creative applications of the technology by an artist or designer. Published six times a year, CG&A is indispensable reading for people working at the leading edge of computer graphics technology and its applications in everything from business to the arts.

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Can Image Data Facilitate Reproducibility of graphics and Visualizations? Toward a Trusted Scientific practice

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IEEE computer graphics AND APPLICATIONS 2023年第2期43卷 89-100页

作者： Reina, Guido Univ Stuttgart Visualizat Res Ctr VISUS D-70569 Stuttgart Germany

Reproducibility is a cornerstone of good scientific practice;however, the ongoing "reproducibility crisis" shows that we still need to improve the way we are doing research currently. Reproducibility is crucial because it enables both the comparison to existing techniques as well as the composition and improvement of existing approaches. It can also increase trust in the respective results, which is paramount for adoption in further research and applications. While there are already many initiatives and approaches with different complexity aimed at enabling reproducible research in the context of visualization, we argue for an alternative, lightweight approach that documents the most relevant parameters with minimal overhead. It still complements complex approaches well, and integration with any existing tool or system is simple. Our approach uses the images produced by visualizations and seamlessly piggy-backs everyday communication and research collaborations, publication authoring, public outreach, and internal note-taking. We exemplify how our approach supports day-to-day work and discuss limitations and how they can be countered.

关键词： graphics Data visualization Collaboration Reproducibility of results Complexity theory

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Handling Non-Visible Referents in Situated Visualizations

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IEEE TRANSACTIONS ON VISUALIZATION AND computer graphics 2024年第1期30卷 1336-1346页

作者： Assor, Ambre Prouzeau, Arnaud Hachet, Martin Dragicevic, Pierre Univ Bordeaux Inria CNRS Bordeaux France

Situated visualizations are a type of visualization where data is presented next to its physical referent (i.e., the physical object, space, or person it refers to), often using augmented-reality displays. While situated visualizations can be beneficial in various contexts and have received research attention, they are typically designed with the assumption that the physical referent is visible. However, in practice, a physical referent may be obscured by another object, such as a wall, or may be outside the user's visual field. In this paper, we propose a conceptual framework and a design space to help researchers and user interface designers handle non-visible referents in situated visualizations. We first provide an overview of techniques proposed in the past for dealing with non-visible objects in the areas of 3D user interfaces, 3D visualization, and mixed reality. From this overview, we derive a design space that applies to situated visualizations and employ it to examine various trade-offs, challenges, and opportunities for future research in this area.

关键词： Taxonomy Models Frameworks theory Mobile AR/VR/Immersive Specialized Input/Display Hardware

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Fluid Cohomology

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ACM TRANSACTIONS ON graphics 2023年第4期42卷 1-25页

作者： Yin, Hang Nabizadeh, Mohammad Sina Wu, Baichuan Wang, Stephanie Chern, Albert Univ Calif San Diego San Diego CA 92103 USA

The vorticity-streamfunction formulation for incompressible inviscid fluids is the basis for many fluid simulation methods in computer graphics, including vortex methods, streamfunction solvers, spectral methods, and Monte Carlo methods. We point out that current setups in the vorticity-streamfunction formulation are insufficient at simulating fluids on general non-simply-connected domains. This issue is critical in practice, as obstacles, periodic boundaries, and nonzero genus can all make the fluid domain multiply connected. These scenarios introduce nontrivial cohomology components to the flow in the form of harmonic fields. The dynamics of these harmonic fields have been previously overlooked. In this paper, we derive the missing equations of motion for the fluid cohomology components. We elucidate the physical laws associated with the new equations, and show their importance in reproducing physically correct behaviors of fluid flows on domains with general topology.

关键词： Fluid dynamics homology theory

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Understanding Data Visualization Design practice

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IEEE TRANSACTIONS ON VISUALIZATION AND computer graphics 2022年第1期28卷 665-675页

作者： Parsons, Paul Purdue Univ W Lafayette IN 47907 USA

Professional roles for data visualization designers are growing in popularity, and interest in relationships between the academic research and professional practice communities is gaining traction. However, despite the potential for knowledge sharing between these communities, we have little understanding of the ways in which practitioners design in real-world, professional settings. Inquiry in numerous design disciplines indicates that practitioners approach complex situations in ways that are fundamentally different from those of researchers. In this work, I take a practice-led approach to understanding visualization design practice on its own terms. Twenty data visualization practitioners were interviewed and asked about their design process, including the steps they take, how they make decisions, and the methods they use. Findings suggest that practitioners do not follow highly systematic processes, but instead rely on situated forms of knowing and acting in which they draw from precedent and use methods and principles that are determined appropriate in the moment. These findings have implications for how visualization researchers understand and engage with practitioners, and how educators approach the training of future data visualization designers.

关键词： Data visualization Human computer interaction Design methodology Visualization Production Complexity theory Scholarships Design practice data visualization design methods design process research-practice relationships

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How to Evaluate If Collaborative Augmented Reality Speaks to Its Users

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IEEE computer graphics AND APPLICATIONS 2023年第5期43卷 107-113页

作者： Marques, Bernardo Silva, Samuel Dias, Paulo Santos, Beatriz Sousa Basole, Rahul C. Ferrise, Francesco Univ Aveiro P-3810193 Aveiro Portugal

Augmented reality (AR) is increasingly considered to support scenarios of co-located and remote collaboration. Thus far, the core goal has been advancing the supporting technologies and assessing how they perform to inform design and development, thus providing support toward their maturity. Nevertheless, while understanding the performance and impact of supporting technology is indisputable groundwork, we argue that the field needs to adopt a framework that moves from answering questions about the proposed methods and technologies to a more holistic view, also encompassing collaboration. However, moving toward this goal challenges how evaluations are designed, adding complexity and raising several questions about what needs to be considered. In this article, we briefly examine the different dimensions entailed in collaborative AR and argue in favor of a distinctive evaluation framework that goes beyond current practice and sets its eyes on the elements that allow judging how collaboration unfolds while informing the role of the supporting technology.

关键词： Collaboration Complexity theory Augmented reality Performance evaluation

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A Memory Efficient Encoding for Ray Tracing Large Unstructured Data

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IEEE TRANSACTIONS ON VISUALIZATION AND computer graphics 2022年第1期28卷 583-592页

作者： Wald, Ingo Morrical, Nate Zellmann, Stefan NVIDIA Santa Clara CA 95051 USA Univ Utah SCI Inst Salt Lake City UT 84112 USA Univ Cologne Chair Comp Sci Cologne Germany

In theory, efficient and high-quality rendering of unstructured data should greatly benefit from modern GPUs, but in practice, GPUs are often limited by the large amount of memory that large meshes require for element representation and for sample reconstruction acceleration structures. We describe a memory-optimized encoding for large unstructured meshes that efficiently encodes both the unstructured mesh and corresponding sample reconstruction acceleration structure, while still allowing for fast random-access sampling as required for rendering. We demonstrate that for large data our encoding allows for rendering even the 2.9 billion element Mars Lander on a single off-the-shelf GPU-and the largest 6.3 billion version on a pair of such GPUs.

关键词： Rendering (computer graphics) Memory management Encoding Mars NASA Data structures Computational modeling

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computer graphics Algorithm Demonstration System 3

Computer Graphics Algorithm Demonstration System

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3rd International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy, SPIoT2023

作者： Wang, Fang Yu, Kan Yang, Lei Faculty of Information Science and Technology Wenhua College Hubei Wuhan430074 China

With the rapid development of computer technology. Many scholars pay close attention to computer graphics algorithms, which makes computer graphics widely used in various fields and enters a new revolutionary era. The purpose of this paper is to study the evaluation of computer graphics algorithm demonstration systems. Combining theory with practice, on the basis of careful analysis of the principle of graphics algorithm, a new idea of synchronization of graphics production process and a specific algorithm for realizing graphics are proposed, and most graphics in computer graphics are visualized. It breaks the limitation that only two-dimensional graphic simulation effects can be realized, and increases the interactive user control system. The algorithm complexity is significantly reduced, the graphics creation speed is increased, and the simulation effect is more realistic. After the introduction of this visual teaching demonstration system, these abstract principles can be explained intuitively, which can significantly improve the teaching quality. © 2023 Elsevier B.V.. All rights reserved.

关键词： Computational complexity

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