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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501-510 订阅

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Research on dynamic visualization of environmental wind field based on OSGEarth-WRF model

Research on dynamic visualization of environmental wind fiel...

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2022 international conference on Agri-Photonics and Smart Agricultural Sensing Technologies, ICASAST 2022

作者： Liu, Qi College of Environmental Science and Engineering Guilin University of Technology No. 12 Jiangan Street Guilin541004 China

ISBN: (纸本)9781510657731

At present, the rapid development of urbanization in China has brought about the relative shrinkage of agriculture. The distribution of cultivated land and population is not balanced, and how to maximize agricultural output value is the main concern. Wind is an important factor in the growth and production of crops. However, in the simulation of wind field analysis, the traditional NetCDF format wind field reanalysis data has too large a time series interval, is relatively single, and cannot be dynamically displayed in a short time series, and the arrow method will cause ambiguity. To solve this problem, based on the 3D virtual earth, this paper proposes a new 2D wind field dynamic visualization method combining the OSGEarth and WRF model, which realizes the short-sequence dynamic visualization simulation of the wind field in the geographical environment and solves the ambiguity problem of the arrow method. It has important guiding significance for mastering the spatial geographic information of agricultural areas and seed dispersal forecasting. © 2022 SPIE.

关键词： Three dimensional computer graphics

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3D Reconstruction of High Voltage Power Cable Tunnel Based on Basic Component Fitting from Point Clouds 2

3D Reconstruction of High Voltage Power Cable Tunnel Based o...

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2nd international conference on Clean Energy Storage and Power Engineering, CESPE 2023

作者： Ai, Yonghen Qiu, Long Liu, Jianxing Yang, Bin Fu, Han State Grid Wuhan Power Supply Wuhan China

ISBN: (纸本)9798350395495

3D visualization technology can visually and clearly display the spatial layout of underground high-voltage cables, but how to finely model the high-voltage cable tunnel in 3D is a challenge. Most existing methods focus on model accuracy and abstraction from the geometric dimension, and cannot utilize the geometric structure and topological feature information of the model itself. The paper proposes a point clouds 3D reconstruction method for high-voltage cable tunnel based on basic component fitting, targeting the geometric characteristics of high-voltage cable tunnel. Firstly, identify the corresponding basic components of the point clouds through point clouds segmentation and cable channel topology comparison. Then, a geometric semantic integrated expression driven by both data information and geometric information is adopted to reconstruct the underground cable channel. This method can effectively reduce the sensitivity to point clouds noise and missing points, solve the problem of point clouds data missing and more noise caused by the narrow space of high-voltage cable tunnel, and thus ensure the accuracy of 3D reconstruction. © 2023 IEEE.

关键词： Three dimensional computer graphics

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Image classification and discrimination of COVID pneumonia based on convolutional neural network 7

Image classification and discrimination of COVID pneumonia b...

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7th international conference on Mechatronics and Intelligent Robotics, ICMIR 2023

作者： Qin, Chuan Liu, Xuesong Che, Yuanxi Yao, Enjie School of Computing Newcastle University Newcastle Upon TyneNE1 7RU United Kingdom Department of Electronic and Electrical Engineering The University of Sheffield SheffieldS10 2TN United Kingdom Department of Computer Science and Technology Northwest University Xi an710127 China

ISBN: (数字)9781510668089

ISBN: (纸本)9781510668072

To address the negative quality of RT-PCR and the time taken to obtain results, this paper reports on the classification and discrimination of COVID pneumonia images by developing a neural network adaptively. Given the limited number of published COVID-19 CT data currently available, we suggest using the proposed negative process to refine the data to obtain more CT data to reduce matching risk;Experimental results show that compared to network models such as AlexNet and GoogleNet, the proposed BUF-Net network model has the best performance with an accuracy of 93%. visualization of systemic findings using Grad-CAM techniques may further elucidate the critical role of CT imaging in the diagnosis of ***: The use of deep learning tools in clinical practice can help radiologists make better diagnoses. © 2023 SPIE. All rights reserved.

关键词： Coronavirus

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A Rendering Engine for Integral imaging in Augmented Reality Guided Surgery 44

A Rendering Engine for Integral Imaging in Augmented Reality...

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44th Annual international conference of the IEEE-Engineering-in-Medicine-and-Biology-Society (EMBC)

作者： Domeneghetti, D. Carbone, M. Cutolo, F. Ferrari, V Univ Pisa EndoCAS Ctr Comp Assisted Surg Dept Informat Engn Pisa PI Italy

ISBN: (数字)9781728127828

ISBN: (纸本)9781728127828

In the field of image-guided surgery, Augmented Reality wearable displays are a widely studied and documented technology for their ability to provide egocentric vision together with the overlap between real and virtual content. In particular, optical see-through (OST) displays have the advantage of maintaining visual perception of the real world. However, OST displays suffer from vergeance-accomodation conflict when virtual content is superimposed on real world. Furthermore, the calibration methods required to achieve geometric consistency between real and virtual are inherently error-prone. One of the solutions, already studied, to these problems is to use of integral imaging displays. In this paper we present an easy and straightforward real-time rendering strategy implemented in modern OpenGL to show the 3D image of a virtual object on a wearable OST display deploying the integral imaging approach.

关键词： Three-dimensional displays Computational modeling Surgery Resists Rendering (computer graphics) Task analysis Engines

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Dual-Structural Representation Learning with Attention-Based Graph Fusion for Hierarchical MCI-AD Diagnosis 17th

Dual-Structural Representation Learning with Attention-Based...

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17th international conference on Brain Informatics, BI 2024

作者： Cao, Yu Kuai, Hongzhi Wang, Bixin Fan, Fengmei Peng, Guanqiao Zhong, Ning Faculty of Information Technology Beijing University of Technology Beijing China Beijing International Collaboration Base on Brain Informatics and Wisdom Services Beijing China Faculty of Engineering Maebashi Institute of Technology Gunma Maebashi Japan Peking University Huilongguan Clinical Medical School Beijing Huilongguan Hospital Beijing China College of Liberal Arts and Sciences University of Illinois Urbana-Champaign Illinois United States

ISBN: (纸本)9789819632930

The integration of AI, big data, and magnetic resonance imaging (MRI) has significantly advanced healthcare, particularly in the early diagnosis and treatment of neurodegenerative diseases. Alzheimer’s Disease (AD), which predominantly affects the elderly, and its precursor, Mild Cognitive Impairment (MCI), present considerable challenges in early detection due to the complex structural changes in the brain. Traditional diagnostic methods often struggle to capture these intricate changes. To address this, the systematic Brain Informatics methodology is reconsidered to realize evidence combination based on dual-structural representation and fusion computing via attention-based graph. In particular, the DS-AGF (Dual-Structural Representation Learning with Attention-Based Graph Fusion) model was proposed for hierarchical MCI-AD diagnosis. This model employs a dense convolution unit and a node-optimized convolution unit to learn multi-level, fine-grained brain representations. Additionally, an attention-based graph representation fusion unit is introduced, enabling the integration of these representations and allowing the model to capture both local and global relationships between brain regions. This approach enhances the network feature learning ability on critical features, enabling multi-view visualization of key brain regions and their connectivity. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Magnetic resonance imaging

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Coronary Artery Segmentation from X-ray Angiographic Images using Width-aware U-Net 2

Coronary Artery Segmentation from X-ray Angiographic Images ...

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2nd international conference on computer graphics, Image and Virtualization, ICCGIV 2022

作者： Song, Shuang Xiao, Ruoxiu Lu, Tong Zhu, Hang Beihang University School of Computer Science and Engineering Beijing China University of Science and Technology Beijing School of Computer and Communication Engineering Beijing China Visual 3D Medical Science and Technology Development Co. Ltd Beijing China The Sixty Medical Center of People's Liberation Army General Hospital Senior Department of Cardiology Beijing China

ISBN: (纸本)9781665492508

X-ray angiographic images are regarded as the gold standard in the intra-operation of vascular diseases due to their high imaging quality and speed. However, due to many vascular- similar structures existing in the images, the accurate segmentation of the coronary artery is challenging. In this paper, we proposed a width-aware U-Net model by supervising the segmentation procedure using the label mask and centerline- derived width map. In our model, the centerlines of label masks are extracted and width maps are then computed. Together with the label mask, the width maps are then utilized to supervise the segmentation network. By comparing the proposed network with other state-of-the-art models, we can achieve superior results in discarding non-vascular artefacts and preserving the integrity of the whole vascular tree. © 2022 IEEE.

关键词： Image segmentation

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3D occluded object visualization by using integral imaging and semantic segmentation 13

3D occluded object visualization by using integral imaging a...

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13th international conference on Information and Communication Technology Convergence, ICTC 2022

作者： Honda, Kazuaki Lee, Jaehoon Kim, Hyun-Woo Uchino, Hideaki Cho, Myungjin Lee, Min-Chul Kyushu Institute of Technology Dept. of Computer Science and Networks Fukuoka Iizuka Japan School of ICT Robotics and Mechanical Engineering Iitc Hankyong National University Anseong Kyonggi-do Anseong Korea Republic of

ISBN: (数字)9781665499392

ISBN: (纸本)9781665499392

In this paper, we propose the improved occluded object visualization method by using integral imaging and semantic segmentation. Integral imaging is the passive 3D visualization technique that can generate 3D information through elemental images that have different perspectives of information on 3D objects. Moreover, it can be used to remove the occlusion in the 3D scene. The elemental image's various perspective information can be utilized to remove the occlusion in the 3D scene via the 3D image reconstruction process. However, the occlusion object pixels in the elemental image can degrade the image quality of the 3D image. Therefore, it is difficult to visualize the object without occlusion, clearly. To solve this problem, we propose the occluded object visualization method that can remove the occlusion and can visualize the target 3D object by using semantic segmentation. Semantic segmentation is the machine learning technique that can recognize the labeled object in the scene. Therefore, it can generate the specific labeled object mask image. Then, our proposed method can generate accurate 3D target object information. To prove our method, we carry out the simulation experiment and evaluate image quality with a correlation metric. © 2022 IEEE.

关键词： Image quality

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Research on computer graphics and Image Design and Visual Communication Design

Research on Computer Graphics and Image Design and Visual Co...

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Emerging Technology (INCET), international conference for

作者： Lamei Xu Yawei Yu Nanjing Normal University Nanjing China Yunnan Normal University Kunming China

The study of computer graphics, image design and visual communication design is the study of the visual appearance of objects, images or scenes. It relates to various techniques for creating these appearances. These technologies include: computer Aided Design (CAD) system; computer aided manufacturing; And computer aided visualization (CAV). The goal is to develop new ways to visually create, manipulate, represent, and convey information. Research in this field focuses on creating images for various purposes, such as graphical user interface (GUI), computer games, advertisements, product packaging or posters.

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Documenting Cultural Heritage in very hostile fruition contexts: The synoptic visualization of Giottesque frescoes by Multispectral and 3D Close-range imaging

Documenting Cultural Heritage in very hostile fruition conte...

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2021 IEEE international conference on Metrology for Archaeology and Cultural Heritage, MetroArchaeo 2021

作者： Grifoni, E. Gargano, M. Melada, J. Interlenghi, M. Castiglioni, I. Romano Gosetti Di Sturmeck, S. Ludwig, N. National Institute of Optics National Research Council Florence Italy Department of Physics Aldo Pontremoli University of Milan Milan Italy DeepTrace Technologies S.R.L. Milan Italy Department of Physics G. Occhialini University of Milan-Bicocca Milan Italy University of Lausanne Lausanne Switzerland

The paper reports the results obtained from the digital survey of Giottesque frescoes in the Archiepiscopal Palace of Milan. Multispectral imaging and Image Based Modelling techniques have allowed the study, the high-resolution documentation and the virtual reassembly of the fragmented frescoes: the integration of spectral data with RGB ortho-images and 3D models has supported the interpretation of the pictorial cycle by virtually relocating the fresco fragments and evaluating their consistency from a technical, iconographic and art-historical point of view. The experimental results show that the proposed approach has great potential for the documentation of wall paintings preserved in highly hostile contexts of fruition. Due to its versatility and portability in the field, its sub-millimetric accuracy, and the different outputs that can be generated, Close-Range Digital Photogrammetry has proven to be the ideal tool in case of scattered and difficult-to-access data. © Published under licence by IOP Publishing Ltd.

关键词： Three dimensional computer graphics

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In-situ Ultrasound Guided Closed Long Bone Shaft Fracture Treatments

In-situ Ultrasound Guided Closed Long Bone Shaft Fracture Tr...

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Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), IEEE conference on

作者： Wenqing Yan Haowei Li Shiye Huang Long Qian Hui Ding Guangzhi Wang Zhe Zhao Tsinghua University Beijing Tsinghua Changgung Hospital Medivis Inc.

ISBN: (数字)9798331514846

ISBN: (纸本)9798331525637

Closed Reduction and Internal Fixation (CRIF) is the preferred treatment for closed long bone shaft fractures, where frequent X-rays imaging reduce efficiency and increase radiation exposure. Intra-operative ultrasound offers real-time, radiation-free bone imaging, but challenges orthopedic surgeons. To address this, we developed an Augmented Reality (AR) navigation system with in-situ ultrasound visualization, combining on-device infrared tool tracking via an AR headset’s depth sensor with remote rendering for accurate, low-latency images. A standard operating procedure for surgical application was also proposed. Clinical trials with six patients showed significant reduction in fluoroscopy dose and operation time.

关键词： Shafts Ultrasonic imaging Navigation Surgery X-rays Bones Rendering (computer graphics) Standards Augmented reality X-ray imaging

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