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

共 12087 条记录，以下是641-650 订阅

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An Exploration of How Volume Rendering is Impacted by Lossy Data Reduction

An Exploration of How Volume Rendering is Impacted by Lossy ...

引用

High Performance Computing, Networking, Storage and Analysis, SC-W: Workshops of the international conference for

作者： Yanni Etchi Daoce Wang Pascal Grosset Terece L. Turton James Ahrens David Rogers Los Alamos National Laboratory Los Alamos New Mexico University of Indiana Bloomington Indiana

ISBN: (数字)9798350355543

ISBN: (纸本)9798350355550

Data reduction is now frequently used by simulations to reduce the amount of data that needs to be stored. Consequently, several error-bound lossy data reduction techniques have been developed to help compress scientific datasets while trying to maximize quality. However, their impact on visualization has hardly been studied and is not very well understood. In this paper, we do an in-depth analysis of the impact of lossy data reduction on volume rendering to try to determine which parameters, such as characteristics of datasets, opacity, color affect the perception quality of lossy data reduction.

关键词： Image color analysis High performance computing conferences Data visualization Rendering (computer graphics) Data models

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computer-Based Modeling of Field-Managed Percolation in 3D Arrangements of Linear Nanotubes

Computer-Based Modeling of Field-Managed Percolation in 3D A...

引用

IEEE international conference on Electronics and Nanotechnology (ELNANO)

作者： Illia Zhydenko Dmytro Chalyy Ivan Karbovnyk Halyna Klym Lviv State University of Life Safety Lviv Poytechnic National University Lviv Ukraine Lviv State University of Life Safety Lviv Ukraine Radiophysics and Computer Technology Dpt. Ivan Franko National University of Lviv Lviv Ukraine Specialized Computer Systems Dpt. Lviv Polytechnic National University Lviv Ukraine

ISBN: (数字)9798350368178

ISBN: (纸本)9798350368185

The investigation focused on the phenomenon of percolation within a system of straight nanotubes, with the development of an adapted model to characterize this process. A computational algorithm was devised to ascertain the percolation probability of nanotubes, utilizing tools for 3D graphics visualization. The study delved into the impact of geometric dimensions and nanotube concentration on the percolation probability. The research explored the correlation between percolation probability and the dispersion angle, which determines the orientation of nanotubes. By analyzing this relationship, fundamental patterns emerged in the formation of conductive clusters under the influence of an electric field. This analysis facilitated the identification of optimal parameters for a nanotube system capable of demonstrating field-controlled percolation.

关键词： Adaptation models visualization Solid modeling Voltage measurement Three-dimensional displays Correlation Computational modeling Nanotubes Electric fields Dispersion

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Sparse 3D Reconstruction via Object-Centric Ray Sampling

Sparse 3D Reconstruction via Object-Centric Ray Sampling

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international conference on 3D imaging, Modeling, Processing, visualization and Transmission (3DIMPVT)

作者： Llukman Cerkezi Paolo Favaro University of Bern Bern Switzerland

ISBN: (数字)9798350362459

ISBN: (纸本)9798350362466

We propose a novel method for 3D object reconstruction from a sparse set of views captured from a 360-degree calibrated camera rig. We represent the object surface through a hybrid model that uses both an MLP-based neural representation and a triangle mesh. A key contribution in our work is a novel object-centric sampling scheme of the neural representation, where rays are shared among all views. This efficiently concentrates and reduces the number of samples used to update the neural model at each iteration. This sampling scheme relies on the mesh representation to ensure also that samples are well-distributed along its normals. The rendering is then performed efficiently by a differentiable renderer. We demonstrate that this sampling scheme results in a more effective training of the neural representation, does not require the additional supervision of segmentation masks, yields state of the art 3D reconstructions, and works with sparse views on the Google’s Scanned Objects, Tank and Temples and MVMC Car datasets. Code available at: https://***/llukmancerkezi/ROSTER

关键词： Training Surface reconstruction Three-dimensional displays Codes Lighting Cameras Rendering (computer graphics)

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miWFC - Designer Empowerment through mixed-initiative Wave Function Collapse 22

miWFC - Designer Empowerment through mixed-initiative Wave F...

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17th international conference on the Foundations of Digital Games, FDG 2022

作者： Langendam, Thijmen Stefanus Leendert Bidarra, Rafael Computer Graphics and Visualization Delft University of Technology Netherlands

ISBN: (纸本)9781450397957

Wave Function Collapse (WFC) is a powerful generative algorithm, able to create locally-similar output based on a single example input. One of the inherent limitations of the original WFC is that it often requires users to understand its inner workings, and possibly make their own ad-hoc mods, to achieve satisfactory results. Besides distracting from your creative task, this strongly reduces the algorithm's effective usefulness to a small group of technical users. We propose miWFC, a novel mixed-initiative approach to WFC aimed at overcoming these drawbacks. Its main focus is on providing intuitive control to its users, in a way that matches their usual creative workflow. Among its main features, this approach provides (i) interactive navigation through design history, including controlled backtracking, (ii) precise manual editing of the output for direct expression of design intent, and (iii) interactive manipulation of tile weights, to tweak the global appearance of the output. We evaluated a prototype implementation of our approach among game artists and other creative professionals, and concluded that its features were largely considered useful and supportive of their creative work. © 2022 Owner/Author.

关键词： Human computer interaction

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Refraction-contrast CT measurement system based on X-ray dark field imaging for μm-order scale imaging of breast tissue specimens 16

Refraction-contrast CT measurement system based on X-ray dar...

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16th international Workshop on Breast imaging, IWBI 2022

作者： Sunaguchi, N. Huang, Z. Taniguchi, K. Shimao, D. Yuasa, T. Nishimura, R. Iwakoshi, A. Ando, M. Ichihara, S. Department of Radiological and Medical Laboratory Sciences Nagoya University Graduate School of Medicine Aichi461-8673 Japan Department of Radiological Technology Hokkaido University of Science Hokkaido Sapporo006-8585 Japan Graduate School of Engineering and Science Yamagata University Yamagata Yonezawa992-8510 Japan Department of Pathology Nagoya Medical Center Aichi Nagoya460-0001 Japan High Energy Accelerator Research Organization Ibaraki Tsukuba300-0811 Japan

ISBN: (纸本)9781510655843

The importance of the three-dimensional (3D) pathological observation of biological soft tissues has increased in recent year, and various visualization tools to obtain 3D information easily and analysis methods focusing on the 3D micro structures have been developed. Refraction-contrast computed tomography based on X-ray dark-field imaging technique (XDFI) is one of the powerful methods with a high contrast and spatial resolution. In this study, in order to apply XDFI as new pathology tool, we will develop the X-ray optics and the X-ray camera, which are important components of the XDFI imaging system, to achieve a spatial resolution of 5 μm and evaluate the spatial resolution by experiments of the X-ray micro chart and the breast tissue specimen. © 2022 SPIE.

关键词： Three dimensional computer graphics

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Message from the Program Chairs

Message from the Program Chairs

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Brazilian Symposium on computer graphics and Image Processing (SIBGRAPI)

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A study on the application of visualization technology in virtual product design 9

A study on the application of visualization technology in vi...

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9th international conference on computer and Communications, ICCC 2023

作者： Huang, Yu-Che Huang, Ping-Hsien Chaoyang University of Technology Department of Industrial Design Taichung Taiwan National Taiwan University of Science and Technology Department of Mechanical Engineering Taipei Taiwan

Smart communication technology and automation technology have brought many innovations and applications to the improvement of the field of virtual product design. The following are possible application research areas in virtual product design, including team members using remote conferencing and collaboration platforms for instant communication, while using smart technologies to share design concepts and communicate details. Such apps can speed up product development cycles, reduce communication costs, and facilitate the exchange of ideas. Design teams can create virtual prototype presentations. These virtual sample demonstrations can be shown to stakeholders remotely or at physical meetings to help them better understand product concepts and design details. Such applications help reduce the cost and time of actual sample production. Designers can create virtual reality simulated testing environments. Such an environment can be used for product functional testing, human-computer interaction testing and user experience evaluation. Through such simulation tests, the design team can detect problems early and perform corresponding design optimization. These demonstrations can use film, animation, or virtual reality technology to show various aspects of the product, including appearance, functionality, and operating procedures. Product dynamic display can help improve customers' understanding and confidence in products, thereby promoting product sales and promotion. This study uses the integration of two-dimensional and three-dimensional drawing techniques to practice image simulation technology and will share this practical research on computer image processing to provide a drawing reference for future designers. © 2023 IEEE.

关键词： Different Digital imaging intelligent logic calculation realistic digital imaging technology

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Study on Deep Learning-Based Multimodal Fusion for Significant Target Detection

Study on Deep Learning-Based Multimodal Fusion for Significa...

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computer Network Technology and Electronic and Information Engineering (CNTEIE), international conference on

作者： Rui Wang Rong Dai Yuanqing He School of Computer Science Civil Aviation Flight School of China Guanghan City China

ISBN: (数字)9798331524432

ISBN: (纸本)9798331524449

With the rapid development of computer vision and deep learning technologies, Salient Object Detection (SOD) has been widely applied in fields such as image understanding, video analysis, and robot vision. Traditional target detection methods mainly rely on single mode data. However, due to the diversity of image and video data, single mode has limitations in dealing with complex scenes. This article summarizes the core research achievements in this field over the past five years, and provides a detailed review of multi-modal saliency object detection tasks based on RGB-D (depth image data), RGB-T (thermal imaging data), and VDT (visual depth thermal imaging). The existing research is systematically organized, summarized, and evaluated. Finally, the article also conducted in-depth discussions and prospects on the current challenges and future development trends in this field.

关键词： Deep learning visualization computer vision Reviews Robot vision systems imaging Object detection Market research computer networks

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DO-UNet:Improved UNet Model for CT Image Segmentation using DBB and Octave Convolution 23

DO-UNet:Improved UNet Model for CT Image Segmentation using ...

引用

2023 international conference on computer, Vision and Intelligent Technology, ICCVIT 2023

作者： Xu, Zhao Jia, Zhiyang Sun, Jiahang Dong, Wenpei Li, Zhang Department of Computer Science China University of Petroleum-Beijing at Karamay Karamay China Department of Geological Engineering China University of Petroleum-Beijing at Karamay Karamay China Department of Petroleum and Natural Gas Engineering China University of Petroleum-Beijing at Karamay Karamay China

ISBN: (纸本)9798400708701

Abstract Artificial intelligence techniques such as machine learning and deep learning are prevalent in the field of medical imaging, especially image segmentation. In the field of medicine, image segmentation helps to diagnose diseases accurately and hence has sparked interest. Neural-driven image segmentation methods, especially U-Net, are prominent.U-Net, although effective, suffers from severe information loss during downsampling and insufficiently detailed texture of the segmentation results, which limits its application. To solve this problem, we introduce DO-UNet, which strengthens the structure of U-Net. DO-UNet employs jump links at the downsampling layer, preserves high-resolution features, and suppresses data loss. Dense Block with Bottleneck (DBB) replaces the 3*3 convolutional block to efficiently extract spinal features and improve performance. Octave convolution extends the model during upsampling, improving accuracy by expanding the feature space and minimizing parameters. Experiments on the Verse2019 and Verse2020 datasets show that DO-UNet outperforms other models in terms of dice coefficients and accuracy. visualization results confirm DO-UNet's superiority in accurately segmenting spinal structures. The model excels in capturing details and shows robustness and interpretability. These results highlight the practical significance and promising future of DO-UNet in spine segmentation. © 2023 ACM.

关键词： Image segmentation

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Mesh Animation Compression using Skinning and Multi-chart Displacement Texture 16

Mesh Animation Compression using Skinning and Multi-chart Di...

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16th international Joint conference on computer Vision, imaging and computer graphics Theory and Applications (VISIGRAPP) / 16th international conference on computer graphics Theory and Applications (GRAPP)

作者： Fusek, Andrej Riecicky, Adam Stuchlik, Martin Madaras, Martin Slovak Univ Technol Bratislava Fac Informat & Informat Technol Bratislava Slovakia Comenius Univ Fac Math Phys & Informat Bratislava Slovakia Skeletex Res Karlova Ves Slovakia

ISBN: (纸本)9789897584886

Realistic animations of 3D models are currently very complex, and to stream them over a network in real-time, it is necessary to use compression. Currently, many different methods can be used. Some of them use skeleton transformation as an approximation of the animation, others use remeshing for decreasing mesh complexity. In this paper, a novel method of 3D animation compression is presented. It is based on reconstructing a 3D mesh from a 2D displacement texture and subsequent skeletal skinning enhanced by a surface tuning. The tuning is performed by displacing the skinned vertices according to high-frequency details encoded in a Differential Texture since the output of the skinning is just an approximation of the original animation. Skinning weights are encoded in another new texture type - Skinning Map. In each frame of the streaming animation, just a new skeleton pose and the Differential Texture are needed to be sent. The proposed method has a high compression ratio for various animations because the pose is a small data structure and the Differential Texture contains just high-frequency details and on top of that, it can be compressed as video. Furthermore, differences between original and reconstructed animation are minimal, as evidenced by visual and numerical comparisons.

关键词： computers and graphics Animation Compression Skeleton

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