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检索条件"任意字段=International Conference on Computer Graphics, Imaging and Visualization"

共 12078 条记录，以下是521-530 订阅

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Design of Simulation Software for Multi-agent Cooperative Control Algorithm Based on Qt and OSG 7

Design of Simulation Software for Multi-agent Cooperative Co...

引用

7th IEEE international conference on Advanced Robotics and Mechatronics

作者： Peng, Zhenshan Lin, Yuan Fang, Shuo Liu, Haiming South China Univ Technol Sch Automat Sci & Engn Guangzhou 510640 Peoples R China

ISBN: (数字)9781665483063

ISBN: (纸本)9781665483063

This paper presents a method of designing and developing a practical and convenient 3D visual simulation software for the multi-agent system in simulating the cooperative control algorithms, in order to realize the visual simulation of the cooperative control algorithms for multi-agent systems. The design of this simulation software is divided into three parts: design of human-computer interaction, design of algorithm program, and design of 3D visual presentation. The software system is developed on the Qt development platform for design of graphical user interface and implementation of algorithm program, using OSG graphics library as the 3D rendering tool. Multiple examples of different cooperative control algorithms of typical multi-agent systems are executed on the software to verify feasibility and effectiveness, and some of the simulation results are presented in the paper. Practical application shows that the simulation software is helpful to the development of simulation research on the cooperative control algorithms for multi-agent systems.

关键词： Human computer interaction Solid modeling visualization Three-dimensional displays Software algorithms Data visualization Process control

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Image Super-Resolution via Deep Dictionary Learning 12th

Image Super-Resolution via Deep Dictionary Learning

引用

12th international conference on Image and graphics, ICIG 2023

作者： Huang, Yi Bian, Weixin Jie, Biao Zhu, Zhiqiang Li, Wenhu School of Computer and Information Anhui Normal University Anhui Wuhu241002 China Anhui Provincial Key Laboratory of Network and Information Security Anhui Wuhu241002 China

ISBN: (纸本)9783031463136

The method of image super-resolution reconstruction through a dictionary usually only uses a single-layer dictionary, which not only fails to extract the deep features of the image, but also the trained dictionary may be relatively large. This paper proposes a new deep dictionary learning model. First, after preprocessing the images of the training set, the dictionary is trained by the deep dictionary learning method, and the super-resolution reconstruction is performed by adjusting the anchored neighborhood regression method. The proposed algorithm is compared with several classical algorithms on the Set5 data set and Set14 data set. The visualization and quantification results show that the proposed algorithm has a good improvement in PSNR and SSIM compared with the traditional super-resolution algorithm, and effectively reduces the dictionary size and saves reconstruction time. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.

关键词： Optical resolving power

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The Rules of 4-Dimensional Perspective: How to Implement Lorentz Transformations in Relativistic visualization 38th

The Rules of 4-Dimensional Perspective: How to Implement Lor...

引用

38th computer graphics international conference (CGI)

作者： Hamilton, Andrew J. S. Univ Colorado JILA Box 440 Boulder CO 80309 USA Univ Colorado Dept Astrophys & Planetary Sci Box 440 Boulder CO 80309 USA

ISBN: (纸本)9783030890285;9783030890292

This paper presents a pedagogical introduction to the issue of how to implement Lorentz transformations in relativistic visualization. The most efficient approach is to use the even geometric algebra in 3+1 spacetime dimensions, or equivalently complex quaternions, which are fast, compact, and robust, and straightforward to compose, interpolate, and spline. The approach has been incorporated into the Black Hole Flight Simulator, an interactive general relativistic ray-tracing program developed by the author.

关键词： Special relativistic visualization Lorentz transformations Complex quaternions

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Innovations in Mechanical Drawing and computer graphics: Enhancing Precision and visualization in Engineering Design

Innovations in Mechanical Drawing and Computer Graphics: Enh...

引用

international conference on ICT in Business Industry & Government (ICTBIG)

作者： Anurag Shrivastava Himanshu Rai Goyal Layth Hussein Saloni Bansal Vishal Sharma M Harikrishna Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Chennai Tamilnadu Department of Computer Science & Engineering Graphic Era Deemed to be University Dehradun Department of Computers Techniques Engineering College of Technical Engineering The Islamic University Najaf Iraq Department of Computer Engineering and Applications GLA University Mathura Lovely Professional University Phagwara India Department of Computer Science and Engineering Institute of Aeronautical Engineering Hyderabad Telangana

ISBN: (数字)9798331518981

ISBN: (纸本)9798331518998

This study examines the significant advancements in computer graphics and mechanical drawing, with an emphasis on how these developments have revolutionised engineering design precision and visualisation. For engineers and designers, integrating cutting-edge computer-aided design (CAD) tools and visualisation technologies has become crucial as sectors continue to adapt to issues that are ever more complex. The study focusses on significant developments that improve design accuracy and enable detailed visual representations of engineering concepts, including augmented reality (AR), simulation methods, and 3D modelling. Professionals can streamline the engineering workflow by using CAD software to produce complex drawings that are both exact and easily customisable. Before physical prototyping takes place, decision-making based on examination of the product's performance under different conditions is made possible by the integration of simulation modelling. Furthermore, by offering immersive experiences that let stakeholders see and interact with 3D models in actual settings, augmented reality applications transform design assessments. The research emphasises the importance of these advances in enhancing engineering teams' cooperation, efficiency, and communication through a thorough examination of them. The ultimate goal of this research is to pinpoint future paths for the integration of computer graphics and mechanical drawing, opening the door for improved engineering design and development processes.

关键词： visualization Technological innovation Solid modeling Three-dimensional displays Design automation Accuracy Transforms Software Stakeholders Augmented reality

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Virtual Scene Components for Data visualization 8th

Virtual Scene Components for Data Visualization

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8th international conference on Augmented Reality, Virtual Reality, and computer graphics (SALENTO AVR)

作者： Jezek, Bruno Simecek, Ondrej Slaby, Antonin Univ Hradec Kralove Rokitanskeho 62 Hradec Kralove 50002 Czech Republic

ISBN: (纸本)9783030875954;9783030875947

The article describes selected components and connected procedures applied in virtual reality scene which emphasize quality and quantity of perception of visualized information and at the same time improve comfort for the user. Firstly, perception of space, movement and interaction are identified as key aspects of virtual reality in visualization. To fulfill these three aspects, the components of the virtual scene, such as the floor, the horizon, the origin of the space coordinate system, the hands, and others, are defined. The methods of their use is demonstrated through typical examples and advanta ges and gained experience is added.

关键词： Data visualization Information visualization Virtual reality Interaction

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Heart Sutra: A Network Audio Technology-Assisted Visual Music Composition

Heart Sutra: A Network Audio Technology-Assisted Visual Musi...

引用

2023 international computer Music conference: The Sound of Changes, ICMC 2023

作者： Wu, Jiayue Cecilia Nie, Rebecca University of Colorado Denver United States Stanford University United States

ISBN: (纸本)9781713884774

This research explicates the cultural background, creative process, and technical details of a network audio technology-assisted Visual Music composition named "Heart Sutra." Heart Sutra is an immersive audiovisual expression of one of the most widely recited Buddhist texts, integrating chanting traditions in Chinese, Japanese, and Korean, narrating in electroacoustic sounds, media arts, and technology. Heart Sutra is made possible by open-source network audio technology as well as real-time audio-driven visualization algorithms and high-precision 3D projection mapping, which enables the audiovisual composition to be precisely mapped onto the Western sacred art forms, such as mosaic, stained glass, and neoclassical architecture, in Stanford University's Memorial Church. Heart Sutra proves the efficiency of open-source network audio technology for remote music production and provides an economical solution for musicians to reimagine their future practices. It is the result of collaborative efforts among interdisciplinary scholars who seek to breathe new life into ancient Eastern contemplative cultural arts and inspire global society. Copyright: © 2023 Wu and Nie. This is an open-access article distributed under the terms of the Creative Commons Attribution License 3.0 Unported, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

关键词： Three dimensional computer graphics

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Mixed Reality for health and safety monitoring

Mixed Reality for health and safety monitoring

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2023 IEEE international conference on imaging Systems and Techniques, IST 2023

作者： Katika, Tina Papaioannou, Thomas Konstantinidis, Fotios K. Dabrowska, Anna Bolierakis, Spyridon Nektarios Kobus, Monika Okrasa, Malgorzata Tsimiklis, Georgios Amditis, Angelos National Technical University of Athens Institute of Communication and Computer Systems Zografou AthensGR-157 73 Greece Central Institute for Labour Protection-National Research Institute Warsaw Poland

ISBN: (纸本)9798350330830

MR can create immersive environments for workers to practice safety protocols, identify potential hazards, and visualize safety information in real-Time, improving safety awareness and training effectiveness. In this study, we take advantage of MR's capability to connect seamlessly to IoT sensors, wearables and mobile apps, and visualize real-Time information to design and develop an MR application that allows enhanced visualization, real-Time data monitoring, documentation and reporting, as well as safety performance analytics. The MR application is integrated to the IoT infrastructure of a large construction site contributing to a safer working environment, increased worker awareness, improved training efficiency, and better compliance with safety standards. The study elaborates on the evaluation activities performed at a construction site in Poland, wherein workers were provided with health monitoring devices and location tags and a Health and Safety (H&S) officer operated the MR application. © 2023 IEEE.

关键词： Mixed reality

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Systematic Embedded Development and Implementation Techniques on Intel Myriad VPUs 30

Systematic Embedded Development and Implementation Technique...

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30th IFIP/IEEE international conference on Very Large Scale Integration (VLSI-SoC)

作者： Leon, Vasileios Pekmestzi, Kiamal Soudris, Dimitrios Natl Tech Univ Athens Sch Elect & Comp Engn Athens Greece

ISBN: (数字)9781665490054

ISBN: (纸本)9781665490054

The worldwide demand for speed in applications challenges the deployment of compute-intensive algorithms at the power-constrained edge. Novel embedded devices such as the heterogeneous Vision Processing Units (VPUs) emerge as a promising solution for low-power embedded imaging/vision applications, as they accelerate computer vision algorithms and convolutional neural networks with only 1-2W. In this brief, we propose a development methodology for exploiting the full potential of the VPU heterogeneity and providing sufficient acceleration within their restricted power envelope. Based on this methodology, we demonstrate the development paradigm on the Myriad VPUs and report experimental results from the implementation of demanding image processing kernels.

关键词： computer vision Systematics Image processing Image edge detection graphics processing units Very large scale integration Convolutional neural networks

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Semi-Mamba: Improving Medical Image Segmentation via Semi-Automatic Mamba Network 41st

Semi-Mamba: Improving Medical Image Segmentation via Semi-Au...

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41st computer graphics international conference, CGI 2024

作者： Bi, Lei Peng, Yige Feng, David Dagan Kim, Jinman Institute of Translational Medicine National Center for Translational Medicine Shanghai Jiao Tong University Shanghai China School of Computer Science University of Sydney CamperdownNSW Australia

ISBN: (纸本)9783031820236

Segmentation of regions of interest (ROIs) from medical images is considered as a fundamental requirement for many imaging-based clinical decision support systems. Deep learning based automatic segmentation methods have emerged as the state-of-the-art. However, their performance is heavily reliant on using a large number of annotated training dataset to encompass all the possible variations of ROIs, and when the coverage of these variations is inadequate, these methods have difficulties in segmenting the ROIs. Semi-automatic segmentation methods, which fuse user-inputs with high-level semantic image features derived from convolutional neural networks (CNNs) or vision transformers (ViTs) offer an alternative to overcome the limitations of automatic segmentation methods. Unfortunately, CNNs are restricted by the limited receptive fields that cannot capture long-range dependencies, while ViT usually rely on the self-attention mechanism to capture the global context and therefore have high computational complexity. In this study, we propose a Semi-Mamba method for semi-automatic medical image segmentation. The novelty we introduce is to leverage the capability of Mamba to efficiently capture long-range dependency and combine this together with user-clicks to segment challenging ROIs, e.g., ROIs with fuzzy boundaries and inhomogeneous textures. Our experiments with three well benchmarked medical image datasets across different modalities showed that our method consistently outperformed existing automatic and semi-automatic segmentation, which demonstrates strong generalizability. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Convolutional neural networks

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A New Technique of the Virtual Reality visualization of Complex Volume Images from the computer Tomography and Magnetic Resonance imaging 8th

A New Technique of the Virtual Reality Visualization of Comp...

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8th international conference on Augmented Reality, Virtual Reality, and computer graphics (SALENTO AVR)

作者： Vasic, Iva Pierdicca, Roberto Frontoni, Emanuele Vasic, Bata Univ Politecn Marche Ancona Italy Univ Nis Fac Elect Engn Nish Serbia

ISBN: (纸本)9783030875954;9783030875947

This paper presents a new technique for the virtual reality (VR) visualization of complex volume images obtained from computer tomography (CT) and Magnetic Resonance imaging (MRI) by combining three-dimensional (3D) mesh processing and software coding within the gaming engine. The method operates on real representations of human organs avoiding any structural approximations of the real physiological shape. In order to obtain realistic representation of the mesh model, geometrical and topological corrections are performed on the mesh surface with preserving real shape and geometric structure. Using mathematical intervention on the 3D model and mesh triangulation the second part of our algorithm ensures an automatic construction of new two-dimensional (2D) shapes that represent vector slices along any user chosen direction. The final result of our algorithm is developed software application that allows to user complete visual experience and perceptual exploration of real human organs through spatial manipulation of their 3D models. Thus our proposed method achieves a threefold effect: i) high definition VR representation of real models of human organs, ii) the real time generated slices of such a model along any directions, and iii) almost unlimited amount of training data for machine learning that is very useful in process of diagnosis. In addition, our developed application also offers significant benefits to educational process by ensuring interactive features and quality perceptual user experience.

关键词： Virtual reality computer tomography Magnetic Resonance imaging Mesh processing Artificial intelligence

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