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Depth-Box VDB: Accelerate Sparse volume Rendering with Depth Maps through Voxel Database 17

Depth-Box VDB: Accelerate Sparse Volume Rendering with Depth...

引用

17th Pacific visualization Conference (PacificVis)

作者： Xu, Keyue Zhao, Jiapu Tao, Yubo Lin, Hai Zhejiang Univ State Key Lab CAD&CG Hangzhou Peoples R China

ISBN: (纸本)9798350393811;9798350393804

volume rendering is a costly but widely used technique in scientific visualization. Various methods were proposed to accelerate volume rendering, most of which make use of empty brick skipping to avoid sampling the emtpy space of volumetric data, whereas the empty voxels in the valid bricks are still treated as valid. We introduce Depth-Box VDB, a simple but effective method based on GPU-based voxel database (GVDB) to accelerate volume rendering by further reducing the number of samplings. With the help of depth maps attached to the valid bricks and the displacement mapping technique, our method can skip part of the empty voxels in the valid bricks and has achieved significant improvement in the performance of volume rendering. According to the performance tests on different datasets, the rendering efficiency increases by up to 121.74%, while the use of memory increases by around 18.67%. Comparing with different shading models, we can conclude that our method tends to speed up more as the rendering requires more shading computing.

关键词： Human-centered computing-visualization-visualization techniques-volume Rendering

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CommentVis: Unveiling Comment Insights Through Interactive visualization Tool 17

CommentVis: Unveiling Comment Insights Through Interactive V...

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17th Pacific visualization Conference (PacificVis)

作者： Yan, Guangjing Jang, Jinhwa Seo, Jinwook Seoul Natl Univ Seoul South Korea Samsung Elect Suwon South Korea

ISBN: (纸本)9798350393811;9798350393804

Recently, online forums have emerged as a stage for consumers to comment and share their reviews. These user comments serve as a valuable data source for marketing professionals and analysts. Nevertheless, conventional user interfaces often present an overwhelming volume of comments in a linear-structured list, significantly impeding the efficiency of marketing professionals in analyzing the feedback. In response to this challenge, we introduce CommentVis, an interactive visualization tool that helps users grasp the skeleton of comments' semantic distribution. Using the tool, analysts gain detailed information about comments with profound insights. The tool leverages state-of-the-art large-scale language models, optimizing the speed and depth of analysis of substantial text data that may take a long time for marketers. To illustrate the practical application of CommentVis, we present a usage scenario that demonstrates its effectiveness in real-world marketing analysis. The tool's impact and utility were further validated through a user study involving three marketing professionals in a global manufacturing company.

关键词： Human-centered computing-visualization-visualization systems and tools- Computing methodologies-Artificial intelligence-Natural language processing-

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Towards Differentiable Electron Microscopy Simulation: Methods and Applications 17

Towards Differentiable Electron Microscopy Simulation: Metho...

引用

17th Pacific visualization Conference (PacificVis)

作者： Ngan Nguyen Liang, Feng Engel, Dominik Bohak, Ciril Strnad, Ondrej Ropinski, Timo Viola, Ivan King Abdullah Univ Sci & Technol Thuwal Saudi Arabia Ulm Univ Ulm Germany

ISBN: (纸本)9798350393811;9798350393804

We propose a new microscopy simulation system that can depict atomistic models in a micrograph visual style, similar to physical electron microscopy imaging results. This system is scalable, able to represent the simulation of electron microscopy of twenty complex viral particles, and synthesizes the image faster than previous approaches. Additionally, the simulator is differentiable in the deterministic and stochastic stages that form signal and noise representations in the micrograph. This allows for solving inverse problems by means of optimization and thus allows for the generation of microscopy simulations using parameter settings estimated from real data. We demonstrate this capability through two applications: (1) estimating the parameters of the modulation transfer function defining the detector properties of the simulated and real micrographs and (2) denoising the real data based on parameters optimized from the simulated examples using gradient descent. While current simulators do not support any parameter estimation due to their forward-only design, we show that the results obtained using estimated parameters are very similar to real micrographs. Additionally, we evaluate the denoising capabilities of our approach and show that the results are competitive with state-of-the-art methods. Denoised micrographs exhibit less noise in the tomographic reconstruction of tilt-series, facilitating visualization of microscopy tomography using direct volume rendering by reducing the visual dominance of noise.

关键词： Computing methodologies-Modeling and simulation-Simulation types and techniques-Scientific visualization Computing methodologies-Modeling and simulation-Simulation support systems-Simulation tools

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Adaptive Multi-Resolution Encoding for Interactive Large-Scale volume visualization through Functional Approximation

Adaptive Multi-Resolution Encoding for Interactive Large-Sca...

引用

ieee symposium on Large Data Analysis and visualization (LDAV)

作者： Jianxin Sun David Lenz Hongfeng Yu Tom Peterka University of Nebraska-Lincoln Argonne National Laboratory

ISBN: (数字)9798331516925

ISBN: (纸本)9798331516932

Functional approximation as a high-order continuous representation provides a more accurate value and gradient query compared to the traditional discrete volume representation. volume visualization directly rendered from functional approximation generates high-quality rendering results without high-order artifacts caused by trilinear interpolations. However, querying an encoded functional approximation is computationally expensive, especially when the input dataset is large, making functional approximation impractical for interactive visualization. In this paper, we proposed a novel functional approximation multi-resolution representation, Adaptive-FAM, which is lightweight and fast to query. We also design a GPU-accelerated out-of-core multi-resolution volume visualization framework that directly utilizes the Adaptive-FAM representation to generate high-quality rendering with interactive responsiveness. Our method can not only dramatically decrease the caching time, one of the main contributors to input latency, but also effectively improve the cache hit rate through prefetching. Our approach significantly outperforms the traditional function approximation method in terms of input latency while maintaining comparable rendering quality.

关键词： visualization Adaptation models Interpolation Three-dimensional displays Prefetching Rendering (computer graphics) Sampling methods Encoding Function approximation Testing

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Depth-Box VDB: Accelerate Sparse volume Rendering with Depth Maps through Voxel Database

Depth-Box VDB: Accelerate Sparse Volume Rendering with Depth...

引用

Pacific (formerly Asia-Pacific APVIS) visualization symposium

作者： Keyue Xu Jiapu Zhao Yubo Tao Hai Lin State Key Lab of CAD&CG Zhejiang University

ISBN: (数字)9798350393804

ISBN: (纸本)9798350393811

关键词： visualization Costs Databases Computational modeling Memory management graphics processing units Data visualization

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GPU-Driven Optimization of Web-Based volume Rendering in Peripheral Artery Disease CT Imaging

GPU-Driven Optimization of Web-Based Volume Rendering in Per...

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ieee symposium on Bioinformatics and Bioengineering (BIBE)

作者： Mohammed A. AboArab Vassiliki T. Potsika Fragiska Sigala Alexis Theodorou Sylvia Vagena Dimitrios I. Fotiadis Unit of Medical Technology and Intelligent Information Systems University of Ioannina Ioannina Greece Electronics and Electrical Communication Engineering Dept. Faculty of Engineering Tanta Egypt First Propaedeutic Dept. of Surgery National and Kapodistrian University of Athens Athens Greece Biomedical Research Institute Foundation for Research and Technology-Hellas Ioannina Greece

ISBN: (数字)9798331518622

ISBN: (纸本)9798331518639

This paper presents significant advancements in GPU-driven optimization for web-based volume rendering, which is specifically applied to peripheral artery disease (PAD) CT imaging. The proposed method enhances rendering efficiency and image quality, addressing the critical need for real-time, high-quality visualization of complex anatomical structures of PAD. Key improvements in the preprocessing pipeline, such as efficient chunking of large datasets, contribute to better GPU performance. The results demonstrate a substantial improvement over existing tools, with 95.37% reduction in render time, and 96.87% decrease in GPU memory usage compared with BlueLight, and significant memory optimization over Glance. These enhancements facilitate the detailed and interactive 3D visualization of vascular structures, which is crucial for accurate diagnosis and surgical planning. This paper highlights the potential of the proposed method to transform medical imaging practices, improving clinical outcomes for patients with PAD.

关键词： visualization Three-dimensional displays Computed tomography graphics processing units Surgery Rendering (computer graphics) Real-time systems Optimization Arteries Diseases

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A soybean seedlings dataset for soil condition and genotype classification 35

A soybean seedlings dataset for soil condition and genotype ...

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35th SIBGRAPI Conference on graphics, Patterns and Images (SIBGRAPI)

作者： Nascimento, Bruno Ribeiro, Marcos Silva, Laercio Capobiango, Nayara Silva, Michel Univ Fed Vicosa UFV Dept Informat Vicosa MG Brazil Univ Fed Vicosa UFV Dept Agron Vicosa MG Brazil

ISBN: (数字)9781665453851

ISBN: (纸本)9781665453851

We have witnessed the exponential growth of the number of Deep Learning techniques as well as their technical and theoretical advancements. Nowadays, the researchers' effort is also focusing on the applicability of those well-founded concepts. One target is precision agriculture, the area of farming management guided by observation, measurement, and data analysis. Generalization is a real challenge regarding the farm environment. The visual information used during the model's test phase may be exposed to a significant variation in light and weather conditions and visual differences due to plant growth stages. Another challenge is the cost of collecting and labeling data. Convolutional Neural Networks (CNNs) have been used in many applications, such as detecting diseases, distinguishing animal species and plant genotypes, and identifying the plant's environmental characteristics. A large volume of data is required to enable the model to generalize well in these real farm conditions. One open problem is the study of which soybean genotypes best adapt to the soil compaction condition, aiming to increase crop productivity. This problem is a candidate to be solved using CNNs;however, an image dataset is necessary to train the model. In this paper, we proposed a dataset with approximately 1,000 soybean seedlings images from 30 different genotypes grown in compacted and non-compacted soil conditions. To demonstrate the dataset representativeness, we trained classic CNN models to classify soil conditions based only on the visual information and then interpreted the model learning using visual explanation methods. We also raised possible future work for using the dataset in the precision agriculture field.

关键词： Productivity visualization Analytical models Adaptation models Solid modeling Transfer learning Soil

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Efficient Analysis and visualization of High-Resolution Computed Tomography Data for the Exploration of Enclosed Cuneiform Tablets

Efficient Analysis and Visualization of High-Resolution Comp...

引用

ieee symposium on Large Data Analysis and visualization (LDAV)

作者： Stephan Olbrich Andreas Beckert Cécile Michel Christian Schroer Samaneh Ehteram Andreas Schropp Philipp Paetzold Universität Hamburg Centre National de la Recherche Scientifique (CNRS - ArScAn) Nanterre and Universität Hamburg Deutsches Elektronen-Synchrotron (DESY) Hamburg and Universität Hamburg

ISBN: (数字)9798331516925

ISBN: (纸本)9798331516932

Cuneiform is the earliest known system of writing, first developed for the Sumerian language of southern Mesopotamia in the second half of the 4th millennium BC. Cuneiform signs are obtained by impressing a stylus on fresh clay tablets. For certain purposes, e.g. authentication by seal imprint, some cuneiform tablets were enclosed in clay envelopes, which cannot be opened without destroying them. The aim of our interdisciplinary project is the non-invasive study of clay tablets. A portable X-ray micro-CT scanner is developed to acquire density data of such artifacts on a high-resolution, regular 3D grid at collection sites. The resulting volume data is processed through feature-preserving denoising, extraction of high-accuracy surfaces using a manifold dual marching cubes algorithm and extraction of local features by enhanced curvature rendering and ambient occlusion. For the non-invasive study of cuneiform inscriptions, the tablet is virtually separated from its envelope by curvature-based segmentation. The computational- and data-in-tensive algorithms are optimized for near-real-time offline usage with limited resources at collection sites. To visualize the complexity-reduced and octree-based compressed representation of surfaces, we develop and implement an interactive application. To facilitate the analysis of such clay tablets, we implement shape-based feature extraction algorithms to enhance cuneiform recognition. Our workflow supports innovative 3D display and interaction techniques such as autostereoscopic displays and gesture control.

关键词： Three-dimensional displays Noise reduction Data visualization Seals Writing Feature extraction Rendering (computer graphics) Workstations Data mining Surface treatment

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Towards Differentiable Electron Microscopy Simulation: Methods and Applications

Towards Differentiable Electron Microscopy Simulation: Metho...

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Pacific (formerly Asia-Pacific APVIS) visualization symposium

作者： Ngan Nguyen Feng Liang Dominik Engel Ciril Bohak Ondřej Strnad Timo Ropinski Ivan Viola King Abdullah University of Science and Technology Ulm University

ISBN: (数字)9798350393804

ISBN: (纸本)9798350393811

关键词： visualization Parameter estimation Noise reduction Noise Detectors Tomography Rendering (computer graphics)

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SRBF-Gaussian: Streaming-Optimized 3D Gaussian Splatting

SRBF-Gaussian: Streaming-Optimized 3D Gaussian Splatting

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ieee Annual International symposium Virtual Reality

作者： Dayou Zhang Zhicheng Liang Zijian Cao Dan Wang Fangxin Wang Shenzhen Future Network of Intelligence Institute School of Science and Engineering The Chinese University of Hong Kong Shenzhen Department of Computing The Hong Kong Polytechnic University The Guangdong Provincial Key Laboratory of Future Networks of Intelligence

ISBN: (数字)9798331536459

ISBN: (纸本)9798331536466

3D Gaussian Splatting (3DGS) has emerged as a groundbreaking 3D scene representation technique, offering unprecedented visual quality and rendering efficiency. However, the substantial data volume of 3DGS scenes poses significant challenges for streaming applications. Existing research on 3DGS has primarily focused on compression and rendering efficiency, neglecting the specific requirements of streaming transmission. Moreover, the Spherical Harmonics color representation in 3DGS complicates viewport-based transmission partitioning. Achieving hierarchical Gaussian streaming without noticeable quality degradation also remains a significant *** address these challenges, we propose SRBF-Gaussian, a new paradigm that revolutionizes the traditional 3DGS format. Our approach introduces viewport-dependent color encoding based on Spherical Radial Basis Functions (SRBFs) and HSL color space, enabling selective transmission of viewport-relevant color data. This reduces data transmission while maintaining visual quality. We implement adaptive Gaussian pruning and transmission, optimized for current viewports and network conditions. Additionally, we develop coherent multi-level Gaussian representations for smooth transitions between quality levels. Our system incorporates user-behavior-aware streaming strategies to anticipate and pre-fetch relevant data. In cloud VR scenarios, our approach demonstrates substantial improvements, achieving a 5.63% - 14.17% increase in PSNR, a 7.61% - 59.16% reduction in latency, and a 10.45% - 30.12% improvement in overall Quality of Experience (QoE).

关键词： visualization Cloud computing Three-dimensional displays Image color analysis Virtual reality User interfaces Rendering (computer graphics) Encoding User experience Quality of experience

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