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

共 12125 条记录，以下是701-710 订阅

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Research on graphics Assisted Stereotactic Orientation System Based on Virtual Reality

Research on Graphics Assisted Stereotactic Orientation Syste...

引用

Sensors, Electronics and computer Engineering (ICSECE), IEEE international conference on

作者： Zhang Hui Shi Yi Wanjiang University of Technology Ma'anshan China Keimyung University Daegu South Korea

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 mapping and positioning. An efficient interactive system is constructed by tracking plane AIDS and hands effectively with a single depth camera. A tactile redirection method is proposed to solve the interaction errors caused by the difference in the dimensions of virtual space and real space interaction planes. This allows the interaction to continuously switch between adjacent targets. The simulation results show that this system can not only be widely used in 3D positioning and orientation of virtual reality system helmet and data glove, but also in the field of spatial mapping control and positioning and orientation and multimedia system.

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BlueSkype: A Shared Virtual 3D World for Off-Site Meetings in Nature 24th

BlueSkype: A Shared Virtual 3D World for Off-Site Meetings i...

引用

24th international conference on Human-computer Interaction, HCI international, HCII 2022

作者： Nakashima, Ryota Kanmuri, Yuta Hong, Hua Tomiyama, Tatsuro Sasaki, Atsuko Tomisugi, Masahiro Tobita, Hiroaki Advanced Institute of Industrial Technology Tokyo Shinagawa-ku Japan

ISBN: (纸本)9783031063930

On-site meetings in office environments often involve conventional online meeting platforms such as Zoom and Google Meet that are widely used in real meeting rooms and provide functionality and visualization simple enough to support typical business meetings. However, because such meeting platforms usually have the same functions, meeting attendees are compelled to use nearly the same functions and manners even if their purposes differ. By contrast, conventional online meeting systems take off-site meetings less into account. Therefore, to solve those conventional limitations and realize online off-site meetings in nature, we have designed BlueSkype, a natural environment in a shared virtual 3D world. Therein, meeting attendees are represented by 3D avatars that can move around the 3D world freely, communicate with each other, and interact. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Three dimensional computer graphics

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Analysis of computer Vision for graphics and Animation

Analysis of Computer Vision for Graphics and Animation

引用

international conference on Advanced Computing and Communication Systems (ICACCS)

作者： Anshy Singh Manoj Kumar Aditi Saxena Dept. of Computer Engineering and Applications GLA University Mathura India Dept. of Electronics and Communication Engineering GLA University Mathura India

The field of computer vision is rapidly evolving. Pictures and videos can be obtained and processed to model, duplicate, and occasionally introduce additional visuals to complete valuable tasks. This Paper outlines a method for gathering, refining, and comprehending video and images. In the future, computer vision will be used in a wide range of products and services, including cameras, movies, smartphones, drones, and much more. Video sequences, multiple camera views, multi-dimensional data from medical scanning, and 3D scanner devices can all be used to represent various types of image data. the purpose of this paper is to analyze the role of computer vision for graphics and animations in order to analyze the role perception of virtual machine and computer animation and vision has been studied in detail. Multidimensional data, video sequences, and multiple camera images from a medical scanner are all examples of image data. The goal of computer vision as a technological discipline is to create computer viewing devices using its models and theories.

关键词： computer vision visualization Computational modeling Video sequences Animation Motion pictures Cameras

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Color matters for digital media & visualization 21

Color matters for digital media & visualization

引用

ACM SIGGRAPH 2021 Courses - international conference on computer graphics and Interactive Techniques, SIGGRAPH 2021

作者： Rhyne, Theresa-Marie

Comparison of the RGB and CMYK colors models. This image depicts the differences between how colors appear on a color display (RGB) compared to how the colors reproduce in the CMYK print process. © 2021 Owner/Aut... 详细信息

ISBN: (纸本)9781450383615

关键词： Color

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Engine Integration Using WebGL Depth Buffer and Rendering Method for Digital Twin Models

Engine Integration Using WebGL Depth Buffer and Rendering Me...

引用

international conference on computer Engineering and Applications (ICCEA)

作者： Yanyan Wang Jiaying Peng Keji Chen Kang Gong Dengrong Zhang Jiapeng Wang School of Information Science and Technology Hangzhou Normal University Hangzhou China Zhejiang Provincial Key Laboratory of Urban Wetlands and Regional Change Hangzhou China

ISBN: (数字)9798350386776

ISBN: (纸本)9798350386783

In recent years, with the continuous development of digital twin technology, its application scope has become increasingly widespread across various fields. Currently, static WebGIS applications built on the open-source 3D mapping framework Cesium fail to effectively showcase the dynamic process of model changes and struggle to seamlessly integrate models with environmental elements, thereby limiting the flexibility and applicability of digital twin applications in practical construction. To address this issue, this paper proposes an engine integration method based on depth buffering, aiming to achieve a depth integration between Cesium and general 3D rendering engines, thereby effectively enhancing Cesium’s model rendering capabilities in WebGIS application development. Furthermore, through in-depth exploration of graphic rendering algorithms, we have designed scene visualization algorithms applicable to different environmental parameters, achieving effective integration of models with environmental elements and successfully simulating the process of model dynamic changes.

关键词： Solid modeling Three-dimensional displays Heuristic algorithms System performance graphics processing units W3C Rendering (computer graphics)

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Thermal-NeRF: Neural Radiance Fields from an Infrared Camera

Thermal-NeRF: Neural Radiance Fields from an Infrared Camera

引用

IEEE/RSJ international conference on Intelligent Robots and Systems (IROS)

作者： Tianxiang Ye Qi Wu Junyuan Deng Guoqing Liu Liu Liu Songpengcheng Xia Liang Pang Wenxian Yu Ling Pei Shanghai Key Laboratory of Navigation and Location Based Services Shanghai Jiao Tong University Hefei University of Technology Shanghai Slamtec Research

ISBN: (数字)9798350377705

ISBN: (纸本)9798350377712

In recent years, Neural Radiance Fields (NeRFs) have demonstrated significant potential in encoding highly-detailed 3D geometry and environmental appearance, positioning themselves as a promising alternative to traditional explicit representation for 3D scene reconstruction. However, the predominant reliance on RGB imaging presupposes ideal lighting conditions—a premise frequently unmet in robotic applications plagued by poor lighting or visual obstructions. This limitation overlooks the capabilities of infrared (IR) cameras, which excel in low-light detection and present a robust alternative under such adverse scenarios. To tackle these issues, we introduce Thermal-NeRF, the first method that estimates a volumetric scene representation in the form of a NeRF solely from IR imaging. By leveraging a thermal mapping and structural thermal constraint derived from the thermal characteristics of IR imaging, our method showcases unparalleled proficiency in recovering NeRFs in visually degraded scenes where RGB-based methods fall short. We conduct extensive experiments to demonstrate that Thermal-NeRF can achieve superior quality compared to existing methods. Furthermore, we contribute a dataset for IR-based NeRF applications, paving the way for future research in IR NeRF reconstruction, see https://***/Cerf-Volant425/Thermal-NeRF.

关键词： visualization Three-dimensional displays Robot vision systems Lighting Neural radiance field Rendering (computer graphics) Cameras Thermal conductivity Image reconstruction Thermal degradation

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Validation of High Angular Resolution Diffusion-Weighted imaging Protocols

Validation of High Angular Resolution Diffusion-Weighted Ima...

引用

international conference on Computing and Networking Technology (ICCNT)

作者： Jyoti Seth Savitha R Ashwini Kumar Department of Computer Science & Engineering Vivekananda Global University Jaipur India Department of Electrical and Electronics Engineering School of Engineering and Technology JAIN (Deemed to be University) Bangalore Karnataka India Department of Mechanical Engineering ARKA JAIN University Jamshedpur Jharkhand India

ISBN: (数字)9798350370249

ISBN: (纸本)9798350370270

High angular resolution diffusion-weighted imaging (HARDI) protocols are strategies used to growth the number of facts amassed about tissue microstructure in diffusion imaging. Current studies have sought to apprehend the validity of HARDI methods and their ability to reconstruct the underlying tissue systems accurately. The evaluation of HARDI reliability is accomplished thru 3 major classes: voxel-wise checks of methods, simulations to evaluate protocol efficiency, and human brain tract reconstruction. outcomes from these studies have tested that HARDI may additionally offer progressed visualization of mind microstructure and might higher differentiate between individual white count tracts and distinctive tissue kinds than conventional diffusion imaging. However, due to the complexity of HARDI protocols, further validation is essential to ensure accuracy and discover the strengths and weaknesses of the strategies.

关键词： Nerve fibers visualization Protocols Image resolution Accuracy imaging Optical fiber networks Microstructure Reliability Image reconstruction

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A Method for Medical Image visualization: Integrating Eye-Tracking for Pixel Error Reduction and Calibration

A Method for Medical Image Visualization: Integrating Eye-Tr...

引用

IEEE international conference on Biomedical Engineering, computer and Information Technology for Health

作者： Akib Jayed Islam Sultanus Salehin Sayem Ul Alam Shreya Paul Prithy Paul Computational Colour and Spectral Imaging Norwegian University of Science and Technology Gjøvik Norway Department of ECE The University of Alabama Tuscaloosa USA Department of EEE National Institute of Technology Trichy Tamil Nadu India Computer Science and Engineering East Delta University Chattogram Bangladesh

ISBN: (数字)9798331534356

ISBN: (纸本)9798331534363

Clinical procedures depend heavily on visual data, especially in diagnostic radiology. Using eye-tracking technology, this study examines the association between visual search features and diagnostic performance in capsule endoscopy. Conventional visual search models may not be appropriate for cross-sectional stack imaging used in computed tomography (CT) and magnetic resonance imaging (MRI) due to their dynamic nature. These models were created for static 2D pictures. By examining the visual search patterns of a specialist looking at capsule endoscopy pictures, our study seeks to close this gap. To show these pictures, we created a framework that included an eye tracker and gathered a sizable dataset of 536 photos. The eye-tracking system demonstrated high accuracy in capturing gaze data. Analysis of expert visual search patterns revealed predominantly circular search trajectories with distinct optical flow characteristics. Variations in fixation duration and location were observed. Notably, visual search strategies resembled previously documented drilling and scanning patterns in certain image types. These findings suggest the potential of utilizing eye-tracking data to enhance diagnostic accuracy and inform radiology education.

关键词： visualization Accuracy Endoscopes Magnetic resonance imaging Computed tomography Computational modeling Gaze tracking Radiology Search problems Trajectory

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Deep Learning-Based Framework for Enhancing Underwater Visual Perception

Deep Learning-Based Framework for Enhancing Underwater Visua...

引用

Multi-Agent Systems for Collaborative Intelligence (ICMSCI), international conference on

作者： Ronit Misra Sangini Trivedi R.I Minu Computing Technologies SRM Institute of Science and Technology Chennai India

ISBN: (数字)9798331509828

ISBN: (纸本)9798331509835

Underwater imaging has problems of scattering, color distortion, and light dispersivity due to scattering and other factors, which significantly degrade image quality. High-quality enhancement is critical for the growth of applications in underwater computer vision, such as environmental perception, object detection, or scientific ecological studies. This paper introduces a system to enhance underwater images based on an architecture using deep learning, namely PhysicalNN, to improve degraded images using the EUVP dataset. The architectural structure that the model is based on consists of encoder-decoder structures in that it includes convolution layers which transform low-visibility images into high-quality visually consistent results. The training process was executed on the Kaggle platform, that allowed efficient use of GPU resources. In terms of quantitative evaluations, Peak Signal-to-Noise Ratio and the Structural Similarity Index Measure were used. The final measurements for PSNR and SSIM were 20.5 and 0.602, respectively. Visual data analysis shows that the proposed model is effective enough for color restoration, enhancing contrast and reducing noise in several underwater conditions. The proposed system, being a viable method for underwater imagery enhancement, is thus beneficial for improving marine ecology, underwater robotics, and oceanographic research investigations.

关键词： visualization Image color analysis Biological system modeling Sea measurements Scattering graphics processing units Transforms Real-time systems Image restoration Visual perception

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Interactive 3D visualization of Network Traffic in Time for Forensic Analysis 15

Interactive 3D Visualization of Network Traffic in Time for ...

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15th international Joint conference on computer Vision, imaging and computer graphics Theory and Applications (VISIGRAPP) / 11th international conference on Information visualization Theory and Applications (IVAPP)

作者： Clark, Daniel Turnbull, Benjamin Univ New South Viz Ales Sch Engn & Informat Technol Canberra ACT Australia

ISBN: (纸本)9789897584022

This paper outlines a novel approach to 3D visualization of network traffic. Existing approaches, which present node-graphs in 3D space may not be making the best use of the advantages of 3D. By combining the time component of network traffic data with nodal information and displaying these on separate planes it should be possible to provide analysts with insights that go beyond just the nodal information. The goal of allowing analysts to quickly form a mental map that corresponds with the network traffic ground truth may be achieved with this approach. The visualization approach is demonstrated through development of a tool which implements the approach and discusses its application to a recent network forensics challenge.

关键词： Cybersecurity visualization Network Forensics

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