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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541-550 订阅

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An Online visualization Framework for Massive 3D LiDAR Point Cloud Data

An Online Visualization Framework for Massive 3D LiDAR Point...

引用

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

作者： Junfeng Qian Meng Wang Ruman Yang Haoting Ye Jianjun Tang Guizhou Power Grid Co Ltd Guiyang China The Chinese University of Hong Kong Shenzhen Shenzhen China Southern Power Grid Digital Grid Technology (Guangdong) Co. Ltd Guangzhou China

ISBN: (数字)9798331528850

ISBN: (纸本)9798331528867

The accumulated LiDAR point cloud data is exploding, and its efficient visualization is critical to subsequent point cloud analysis and application. However, due to the large scale of point cloud data, traditional professional point cloud processing software usually has high hardware requirements with low visualization efficiency. Aiming at the problems, this paper designs an online visualization framework for massive 3D LiDAR point cloud data, which allows users to request the resources remotely through the network and interactively visualize the point cloud online in a progressive way. Firstly, the framework proposes a partition method of point cloud data based on the balanced KD-tree and a multi-level storage management scheme to store the point cloud data on HBase. Secondly, an adaptive spatial aggregation query strategy and efficient data transmission protocol based on WebSocket are proposed to support progressive on-demand exchange of massive point cloud dataset. Finally, multiple rendering schemes are designed to realize online visualization of the point cloud. In this paper, the Dutch AHN3 point cloud data is selected for performance validation experiments. Compared with the traditional methods, the online visualization effect is stable and efficient in this paper, and can provide a good interaction experience.

关键词： Point cloud compression visualization Laser radar Three-dimensional displays Storage management Data visualization Rendering (computer graphics) Scheduling Stability analysis Sparks

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Human-centered Evaluation of 3D Radial Layouts for Centrality visualization 30

Human-centered Evaluation of 3D Radial Layouts for Centralit...

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30th international conference in Central Europe on computer graphics, visualization and computer Vision, WSCG 2022

作者： Kobina, Piriziwè Duval, Thierry Brisson, Laurent David, Anthony IMT Atlantique Lab-STICC UMR CNRS 6285 BrestF-29238 France

ISBN: (纸本)9788086943336

In this paper we propose improvements to the 3D radial layouts that make it possible to visualize centrality measures of the nodes in a graph. Our improvements mainly relate edge drawing and the evaluation of the 3D radial layouts. First, we projected not only the nodes but also the edges onto the visualization surfaces in order to reduce the node overlap that could be observed in previous 3D radial layouts. Secondly, we proposed a human-centered evaluation in order to compare the efficiency score and the time to complete tasks of the 3D radial layouts to those of the 2D radial layouts. The evaluation tasks proposed are related to the central nodes, the peripheral nodes and the dense areas of a graph. The results showed that 3D layouts can perform significantly better than 2D layouts in terms of efficiency when tasks are related to the central and peripheral nodes, while the difference in time is not statistically significant between these various layouts. Additionally, we found that the participants preferred interacting with 3D layouts over 2D layouts. © 2022 University of West Bohemia. All rights reserved.

关键词： visualization

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Joint Attention Detection Using First-Person Points-of-View Video

Joint Attention Detection Using First-Person Points-of-View ...

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

作者： Kazuya Bise Takeshi Saitoh Keiko Tsuchiya Hitoshi Sato Kyota Nakamura Takeru Abe Frank Coffey Kyushu Institute of Technology Iizuka Japan Yokohama City University Yokohama Japan Fukushima Medical University Fukushima Japan Nottingham Univ Hosp NHS Trust Nottingham England

ISBN: (数字)9798350374186

ISBN: (纸本)9798350374193

Both verbal and nonverbal communication is important to facilitate collaborative activities by multiple people. This study focused on eye gaze as a form of nonverbal communication. The proposed method consists of a local feature-matching method, an object detection method, and a combination of the two. A simulated scene was designed and filmed to evaluate the proposed method quantitatively. Experimental results show that the proposed method can achieve high accuracy when applied to local feature-matching. Furthermore, the effectiveness of the proposed method was confirmed by shooting a real scene of a medical procedure in a hospital.

关键词： Target tracking Hospitals Collaboration Object detection computer graphics Feature extraction Biomedical imaging

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Automated Malaria Parasite Detection in Blood Smear Images with CNNs 1

Automated Malaria Parasite Detection in Blood Smear Images w...

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1st international conference on Artificial Intelligence for Innovations in Healthcare Industries, ICAIIHI 2023

作者： Pandey, Saroj Kumar Dingankar, R. Shreyas Singh, Kamred Udham Rose, Anthony Singh, Teekam Gla University Department of Computer Engineering & Apllications UP Mathura India Pune India School of Computing Graphic Era Hill University Dehradun India Graphic Era Deemed to Be University Department of Computer Science and Engineering Dehradun India

ISBN: (纸本)9798350330915

This study uses Convolutional Neural Networks (CNNs) to construct an automated parasite identification method in blood smear pictures, addressing the urgent need for accurate and easy malaria diagnosis. We use secondary data collected from several datasets, utilizing an interpretive mindset, a deductive technique, as well as a descriptive research strategy. Technical considerations such as architecture selection, data preparation, and interpretability approaches are carefully taken into account when perfecting the CNN model. The model's effectiveness has been demonstrated by results showing excellent sensitivity (95%) and specificity (92%) in parasite identification. Techniques for visualization make regions of interest clearer, increasing confidence and transparency. Testing for generalizability shows consistent results across several datasets and demographic groupings. The CNN-based methodology performs better than traditional microscopy and quick diagnostic tests when compared to current approaches, especially in situations of low parasitemia. With implications for improvements in healthcare delivery in malaria-endemic areas, this research advances automated malaria diagnosis. © 2023 IEEE.

关键词： Automated Diagnosis Convolutional Neural Networks Interpretivism Malaria Medical imaging

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Explainable AI and Deep Learning for Brain Tumour Classification Using Grad-CAM visualization 2

Explainable AI and Deep Learning for Brain Tumour Classifica...

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2nd international conference on computer Vision and Internet of Things, ICCVIoT 2024

作者： Johnson, Deepika Roselind Srivats, R. Sharma, Abhiram Kalyanasundaram, V. Kanimozhi, S. SCOPE Vellore Institute of Technology Chennai Campus Tamilnadu Chennai India

ISBN: (纸本)9781837242672

Brain tumours rank as the fifth most common cancer type, affecting approximately 90,000 people annually and pose high risks due to their potential for life-threatening neurological impacts. Traditional diagnostic methods often lack visualization clarity, impeding accurate interpretation and delaying critical treatment decisions. To address these challenges, this study introduces a robust deep learning framework that combines ResNet101, InceptionV3, DenseNet201 and VGG16 architectures to classify brain tumours into four categories: pituitary, meningioma, glioma and no tumour. The model was trained and validated on a dataset of 7,022 MRI images and was finely tuned to maximize classification accuracy. Additionally, Gradient-weighted Class Activation Mapping (Grad-CAM) was employed to generate interpretable heatmaps, highlighting key regions in MRI scans that influence classification. This enhanced interpretability facilitates clinical trust and understanding by allowing the model's focus areas to align with clinically relevant regions. The combined model achieved a highly competitive performance, with 99.2% accuracy, 98.8% precision, 98.7% recall and an F1-score of 99.1%, along with an AUC of 1.00 across all classes, reflecting robust diagnostic potential. Grad-CAM was specifically applied to tumour classes, revealing critical areas in MRI scans and supporting improved interpretability. This framework marks a substantial advancement in brain tumour classification, streamlining the diagnostic process, minimizing reliance on manual interpretation and fostering more efficient, accurate and sustainable healthcare solutions. © The Institution of Engineering & Technology 2024.

关键词： Magnetic resonance imaging

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Feature based CAVE software factory 30

Feature based CAVE software factory

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30th international conference in Central Europe on computer graphics, visualization and computer Vision, WSCG 2022

作者： Lebiedź, Jacek Wiszniewski, Bogdan Faculty of ETI Gdańsk University of Technology ul. Gabriela Narutowicza 11/12 Gdańsk80-233 Poland

ISBN: (纸本)9788086943336

In the paper we convey the lessons learned along the path we have gone through several years since establishing a room-sized CAVE installation at our university, from craft manufacturing and ad-hoc software reuse of VR software products to the robust feature driven software product line (SPL) implementing the Product Line Engineering (PLE) factory paradigm. With that we can serve all our departments and other entities from the region by rapidly instantiating different VR products based on a standard set of core assets and driven by a set of common features of VR applications destined to be deployed in the same target CAVE system - with the minimal budget and time to market requirements. A comprehensive survey of the most representative CAVE applications created in Gdansk Tech Immersive 3D visualization Lab (I3DVL) according to PLE paradigm presented in the paper provides evidence supporting this claim. © 2022 University of West Bohemia. All rights reserved.

关键词： computer software reusability

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Design Research on visualization of Life Behavior and Rhythm 10th

Design Research on Visualization of Life Behavior and Rhythm

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10th international conference on Design, User Experience, and Usability held as Part of the 23rd international conference on Human-computer Interaction (HCII)

作者： An, Wa Li, Manhai Chen, Ye Guangzhou Acad Fine Arts Guangzhou 510000 Peoples R China Chongqing Univ Posts & Telecommun Chongqing 400065 Peoples R China Denali Technol Co LTD Guangzhou 510000 Peoples R China

ISBN: (纸本)9783030782214;9783030782207

Traditional scientific research on visualization has gradually changed from emphasizing order and stability to disorder and changes of new science. The visual expression of lifestyle helps designers to understand people's real life and create more ideal design works to meet people's life demands. This essay discusses how to understand life behavior and rhythm by integrating philosophy, sociology and other interdisciplinary knowledge. It focuses on how to visually present people's life behavior and rhythm through visual graphics, so as to understand the living habits and characteristics of a person and a group of people.

关键词： Lifestyle Behavior Rhythm visualization

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3D Ultrasound Tomography Image Reconstruction Algorithm by GPU 23

3D Ultrasound Tomography Image Reconstruction Algorithm by G...

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2023 Asia conference on computer Vision, Image Processing and Pattern Recognition, CVIPPR 2023

作者： Gong, Jiaduo Donghua University China

ISBN: (纸本)9798400700033

At present, X-ray technology, B-ultrasound and magnetic resonance imaging technology have more or less defects in the detection of female breast cancer, so the early detection of breast cancer is still a very important challenge. Ultrasound tomography (UT) can solve these problems very well. This project mainly uses the TVAL3 algorithm to reconstruct the original image from the information collected by the UT system for clinical use. TVAL3 algorithm involves a large number of matrix-vector multiplications and transposed matrix-vector multiplications, which will consume a lot of time if traditional CPU methods are used. For the characteristics of matrix-vector multiplication, this project uses CUDA to call GPU for parallel computing. At the same time, in order to further increase the speed of the calculation, we put part of the unchanged content into the GPU in advance to reduce the time spent on the transfer process. The final speedups of 20x, 10x and 5x were achieved in matrix vector multiplication, transpose matrix vector multiplication and total time, respectively. © 2023 ACM.

关键词： graphics processing unit

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Middle School Architect: Programmatic Modeling and Construction via a 3D graphics Platform in Elm

Middle School Architect: Programmatic Modeling and Construct...

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Emerging Trends in Information Technology and Engineering (ic-ETITE), conference on

作者： Anurag Parcha Sanjana Mishra Christopher Kumar Anand Jagalingam Pushparaj Simon Fraser University Burnaby BC Canada Computing and Software McMaster University Hamilton ON Canada School of Computer Science and Engineering Vellore Institute of Technology Vellore TN India

Today, school students are first introduced to geom-etry and advanced mathematical concepts by plotting a graph in 2D and they struggle with 3D concepts since current technologies are either too difficult to grasp or too simple with only drag-drop functionalities disconnected from coordinates. This article presents a 3D graphics library and an interactive, educational system for visualization of a 3D environment where planks of Cross Laminated Timber (CLT) can be manipulated by geometric and mathematical functions to produce a 3D building. Throughout, there is a focus on functions, 3D geometry and other underlying mathematics, and links are made with the world of computing, specifically computer graphics, to increase students' interest and confidence. Activities built on this library simultaneously meet multiple curricular objectives: mathematics (including 3D geometry), programming (in Elm, a web program-ming language used commercially), and sustainable development (using a negative embodied carbon building material).

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Vertex Climax: Converting Geometry into a Non-nanifold Midsurface 16

Vertex Climax: Converting Geometry into a Non-nanifold Midsu...

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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： Schinko, Christoph Ullrich, Torsten Fraunhofer Austria Res GmbH Graz Austria Graz Univ Technol Graz Austria

ISBN: (纸本)9789897584886

The physical simulation of CAD models is usually performed using the finite elements method (FEM). If the input CAD model has one dimension that is significantly smaller than its other dimensions, it is possible to perform the physical simulation using thin shells only. While thin shells offer an enormous speed-up in any simulation, the conversion of an arbitrary CAD model into a thin shell representation is extremely difficult due to its non-uniqueness and its dependence on the simulation method used afterwards. The current state-of-the-art algorithms in conversion voxelize the input geometry and remove voxels based on matched, predefined local neighborhood configurations until only one layer of voxels remains. In this article we discuss a new approach that can extract a midsurface of a thin solid using a kernel-based approach: In contrast to other voxel-based thinning approaches, our algorithm applies a kernel onto a binary grid. In the resulting density field, opposing surface-voxels are iteratively moved towards each other until a thin representation is obtained.

关键词： Midsurface Grid-based Algorithm Volume graphics Design Automation

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