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international conference on Circuit, Power and Computing Technologies (ICCPCT)

作者： Salil Tamboli Aman Anand School of Computer Science and Engineering Galgotias University Greater Noida India

ISBN: (数字)9798350372816

ISBN: (纸本)9798350372823

The world of football, with its vast player database and intricate gameplay, has been a subject of fascination for enthusiasts and analysts alike. The FIFA video game series, developed by EA Sports, provides an opportunity to delve into this world from a data science perspective. In this research, we embark on a comprehensive analysis of FIFA player data using Python to uncover insights and patterns that can enhance our understanding of the virtual football world. Findings: Data visualization is the process of representing data using common graphics, like charts, plots, infographics, and even animations, prediction of overall rating of football players using Linear Regression and Win prediction of EPL teams using Random Forest classifier.

关键词： Video games Shape Data visualization Stars Syntactics Object oriented programming Random forests

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NCRF: Neural Contact Radiance Fields for Free-Viewpoint Rendering of Hand-Object Interaction

NCRF: Neural Contact Radiance Fields for Free-Viewpoint Rend...

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

作者： Zhongqun Zhang Jifei Song Eduardo Pérez-Pellitero Yiren Zhou Hyung Jin Chang Aleš Leonardis University of Birmingham UK Huawei Noah’s Ark Lab

ISBN: (数字)9798350362459

ISBN: (纸本)9798350362466

Modeling hand-object interactions is a fundamentally challenging task in 3D computer vision. Despite remarkable progress that has been achieved in this field, existing methods still fail to synthesize the hand-object interaction photo-realistically, suffering from degraded rendering quality caused by the heavy mutual occlusions between the hand and the object, and inaccurate hand-object pose estimation. To tackle these challenges, we present a novel free-viewpoint rendering framework, Neural Contact Radiance Field (NCRF), to reconstruct hand-object interactions from a sparse set of videos. In particular, the proposed NCRF framework consists of two key components: (a) A contact optimization field that predicts an accurate contact field from 3D query points for achieving desirable contact between the hand and the object. (b) A hand-object neural radiance field to learn an implicit hand-object representation in a static canonical space, in concert with the specifically designed hand-object motion field to produce observation-to-canonical correspondences. We jointly learn these key components where they mutually help and regularize each other with visual and geometric constraints, producing a high-quality hand-object reconstruction that achieves photorealistic novel view synthesis. Extensive experiments on HO3D and DexYCB datasets show that our approach outperforms the current state-of-the-art in terms of both rendering quality and pose estimation accuracy.

关键词： visualization Three-dimensional displays Accuracy Pose estimation Lighting Rendering (computer graphics) Task analysis

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3D visualization and detection of glomeruli in whole mouse kidney 16

3D visualization and detection of glomeruli in whole mouse k...

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16th international conference on Photonics and imaging in Biology and Medicine, PIBM 2023

作者： Li, Yuxin Cao, Jia Li, Anan Li, Xiangning Feng, Zhao Shaanxi Key Laboratory for Network Computing and Security Technology School of Computer Science and Engineering Xi an University of Technology Xi an710048 China Britton Chance Center for Biomedical Photonics Wuhan National Laboratory for Optoelectronics MoE Key Laboratory for Biomedical Photonics Huazhong University of Science and Technology Wuhan430074 China HUST-Suzhou Institute for Brainsmatics Suzhou215123 China

ISBN: (纸本)9781510667341

The kidney is an important organ in the body to excrete metabolic waste, and the glomerulus is an essential structure for the kidney to play a role in blood filtration. Abnormal glomerular numbers are associated with nephropathy or circulatory disease. With the development of imaging technology, mesoscopic optical imaging can obtain whole kidney images at single cell resolution. The detection of glomeruli from images is very crucial for understanding the renal function and studying nephropathy. Existing detection methods cannot balance both accuracy and efficiency, so we proposed a deep learning-based glomeruli detection method. First, we imaged an entire mouse kidney with High-Definition fluorescent Micro-Optical Sectioning Tomography (HD-fMOST) and obtained a three-dimensional (3D) kidney image at cellular resolution. Then, we designed an end-To-end 3D convolutional neural network based on the morphological features of glomeruli in the kidney image, which can directly read 3D images and predict the precise coordinates of glomeruli. We used the acquired kidney dataset to train the network and validated the effect of glomeruli detection. Finally, we applied our approach to detect glomeruli in large-scale mouse kidney. The results showed that the proposed method reached the state-of-The-Art level, which is more efficient and accurate compared to similar methods. The proposed method will provide a powerful tool for kidney-related research. © 2023 SPIE.

关键词： Convolutional neural networks

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SVG-based Network Topology Mapping Method and System Research for Distributed Cloud Platforms

SVG-based Network Topology Mapping Method and System Researc...

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international conference on Information Systems and computer Aided Education (ICISCAE)

作者： Zhang Xingfu Zhang Jinshuai Wang Shusong Beijing China-Power Information Technology Co. Ltd. Beijing China

ISBN: (数字)9798350350760

ISBN: (纸本)9798350350777

This study focuses on the visual representation of distributed cloud platform network topologies and introduces an innovative drawing method based on SVG technology. By thoroughly analyzing the unique advantages of SVG in network topology rendering, a data model and layout algorithm suited for complex distributed environments have been designed. The research results encompass a comprehensive topology drawing system, including core modules for data collection, topology computation, SVG rendering, and interaction. This system has demonstrated exceptional performance in real-world applications within large-scale cloud platforms, efficiently managing dynamically changing network structures and supporting multi-layered topology displays. The innovation of this paper lies in the seamless integration of SVG technology with distributed cloud architecture, offering a novel solution for the visualization management of complex networks. The research not only enhances the expressiveness and interactivity of network topologies but also provides a powerful tool for cloud platform operations and decision support, holding significant theoretical and practical value.

关键词： Cloud computing visualization Technological innovation Layout computer architecture Complex networks Rendering (computer graphics) Real-time systems Topology Information systems

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Scalar Field Comparison with Topological Descriptors: Properties and Applications for Scientific visualization

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computer graphics FORUM 2021年第3期40卷 599-633页

作者： Yan, Lin Masood, Talha Bin Sridharamurthy, Raghavendra Rasheed, Farhan Natarajan, Vijay Hotz, Ingrid Wang, Bei Univ Utah Sci Comp & Imaging Inst Salt Lake City UT 84112 USA Linkoping Univ Dept Sci & Technol ITN Norrkoping Sweden Indian Inst Sci Bangalore Dept Comp Sci & Automat Bangalore Karnataka India

In topological data analysis and visualization, topological descriptors such as persistence diagrams, merge trees, contour trees, Reeb graphs, and Morse-Smale complexes play an essential role in capturing the shape of scalar field data. We present a state-of-the-art report on scalar field comparison using topological descriptors. We provide a taxonomy of existing approaches based on visualization tasks associated with three categories of data: single fields, time-varying fields, and ensembles. These tasks include symmetry detection, periodicity detection, key event/feature detection, feature tracking, clustering, and structure statistics. Our main contributions include the formulation of a set of desirable mathematical and computational properties of comparative measures, and the classification of visualization tasks and applications that are enabled by these measures.

关键词： Data visualization

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Coherent Enhancement of Depth Images and Normal Maps Using Second-Order Geometric Models on Weighted Finite Graphs

Coherent Enhancement of Depth Images and Normal Maps Using S...

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

作者： Andreas Görlitz Michael Möller Andreas Kolb Computer Graphics Group University of Siegen Siegen Germany Computer Vision Group University of Siegen Siegen Germany

ISBN: (数字)9798350362459

ISBN: (纸本)9798350362466

High-quality depth and normal maps play a crucial role in various image processing and computer vision applications. However, the noisy data from sensors requires meticulous pre-processing. Denoising depth and normals separately, can lead to inconsistent geometric information, neg. atively impacting the performance of applications relying on this data. While some recent studies have suggested joint denoising approaches that aim to achieve coherent geometric representations, these methods are based on simple geometric assumptions, such as piecewise planar regions, and thus suffer from lower accuracy for non-planar geometry. In this paper, we present a versatile non-planar model specifically designed to handle both planar and non-planar geometry. To achieve this, we formulate the underlying problem as a partitioning of our non-planar model parameters on weighted finite graphs. Solving this problem involves utilizing a modified version of the Cut Pursuit algorithm, which efficiently divides input data into regions of similar geometric models. Finally, we leverage these resulting partitions and their associated model parameters to compute a denoised and infilled depth image, along with its coherent normal map.

关键词： Geometry Three-dimensional displays Computational modeling Image processing Noise reduction Geometric modeling Sensors

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A Practical Study on computer-Aided Drawing in Bionic Product Drawing Design

A Practical Study on Computer-Aided Drawing in Bionic Produc...

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computer graphics and Image Processing (CGIP), international conference on

作者： Ho Cai-Wei Huang-Yu Che Feng Chung-Shun Department of Industrial Design Chao yang University of Technology Taichung City Taiwan

ISBN: (数字)9798350374186

ISBN: (纸本)9798350374193

Different design requirements lead to the adoption of various approaches in computer-aided drawing, impacting the visualization, synthesis, drawing, and output ofmaterials. This study aligns with the requirements of biomimicry, aiming to achieve realistic effects in product surface texture, structure, and motion. computer-aided drawing and computer-aided design offer numerous benefits for product design, including physical representation and testing, time and cost savings, customization and variability, design communication, and dealing with complexity. Overall, computer-aided design introduces a more efficient, accurate, and innovative product development method, enhancing the efficiency and quality of the entire process. This research focuses on how computer-aided drawing addresses the challenges of biomimetic drawing design in terms of drawing techniques, technical issues, and the realistic effects of product surface texture. This involves an understanding of biological structural and functional principles. The advantages of computer-aided design in biomimetic design contribute to increased efficiency and better results. The study provides rich drawing methods for biomimetic design using computer-aided drawing, offering various presentation approaches. In summary, through a real design drawing practice, this research demonstrates the potential advantages of fully utilizing computer-aided drawing technology, enhancing the realistic effects of biomimetic design drawing processes and providing a reference for future relevant drawing designs.

关键词： Solid modeling Three-dimensional displays Tongue Image color analysis Biomimetics Brightness Lighting

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Uncertainty-aware visualization in Medical imaging - A Survey

Uncertainty-aware Visualization in Medical Imaging - A Surve...

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Eurographics / IEEE VGTC conference on Visualizaation

作者： Gillmann, Christina Saur, Dorothee Wischgoll, Thomas Scheuermann, Gerik Univ Leipzig Leipzig Germany Univ Leipzig Med Ctr Leipzig Germany Wright State Univ Dayton OH 45435 USA

Medical imaging (image acquisition, image transformation, and image visualization) is a standard tool for clinicians in order to make diagnoses, plan surgeries, or educate students. Each of these steps is affected by uncertainty, which can highly influence the decision-making process of clinicians. visualization can help in understanding and communicating these uncertainties. In this manuscript, we aim to summarize the current state-of-the-art in uncertainty-aware visualization in medical imaging. Our report is based on the steps involved in medical imaging as well as its applications. Requirements are formulated to examine the considered approaches. In addition, this manuscript shows which approaches can be combined to form uncertainty-aware medical imaging pipelines. Based on our analysis, we are able to point to open problems in uncertainty-aware medical imaging.

关键词： Medical visualization Uncertainty visualization Survey

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MediVision - Advanced Medical imaging and visualization through AR/VR

MediVision - Advanced Medical Imaging and Visualization thro...

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IEEE international conference on Systems, Man and Cybernetics

作者： Salih Yoosaf Naeema Ziyad Albert Author is with Faculty of Electrical Engineering Mathematics and Computer Science University of Twente Enschede AE The Netherlands Bernard D. Researcheris with the Department of Electrical Engineering Wright State University Dayton OH USA

ISBN: (数字)9781665410205

ISBN: (纸本)9781665410212

MediVision revolutionizes medical imaging by integrating Augmented Reality (AR) and Virtual Reality (VR) with traditional 2D data. This platform transforms standard DICOM images into immersive 3D models, enhancing diagnostic accuracy and anatomical exploration. Using Unity 3D and advanced image processing, MediVision enables in-teractive visualization of complex conditions through intuitive gestures and labeling. It supports clinical diagnostics, treatment planning, and medical education by simulating procedures and disease progression. MediVision also promotes global healthcare accessibility, reduces diagnostic errors, and supports remote consultations, setting a new benchmark for accuracy and education in medical imaging.

关键词： Solid modeling Three-dimensional displays Accuracy Image processing Transforms Medical services Planning Labeling Standards Medical diagnostic imaging

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Development of a visualization Surrogate Model for Time-Varying Numerical Simulations

Development of a Visualization Surrogate Model for Time-Vary...

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IEEE international conference on High Performance Computing Workshops (HiPCW)

作者： Tomoya Miyake Naohisa Sakamoto Kobe University Kobe Japan

ISBN: (数字)9798331509118

ISBN: (纸本)9798331509125

Recent advances in HPC-oriented technologies have made large-scale numerical simulations feasible on an extreme scale and enabled their use in solving increasingly complex real-world scientific problems. However, the analysis of such real-world phenomena requires not only highly accurate computations but also realistic turnaround execution time. In this context, research on surrogate models has recently increasingly attracted attention as an effective alternative to traditional numerical simulations. This is mainly because it can significantly reduce computational time by replacing numerical simulations with approximate models, such as machine learning models. However, when applied to large-scale simulations, the output data can proportionately become large, thus leading to potential difficulties in later visualization and analysis tasks. Therefore, a great reduction in the overall processing time can be expected if we can build an image-based, or visualization, surrogate model by also taking visualization processing into account, that is, to directly output rendering images rather than simulation results.

关键词： Analytical models Computational modeling Simulation High performance computing Data visualization Machine learning Numerical simulation Rendering (computer graphics) Data models Numerical models

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