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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511-520 订阅

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Accelerating Viz Pipelines Using Near-Data Computing: An Early Experience

Accelerating Viz Pipelines Using Near-Data Computing: An Ear...

引用

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

作者： Qing Zheng Brian Atkinson Daoce Wang Jason Lee John Patchett Dominic Manno Gary Grider Los Alamos National Laboratory Los Alamos NM USA Indiana University Bloomington IN USA

ISBN: (数字)9798350355543

ISBN: (纸本)9798350355550

Traditional scientific visualization pipelines transfer entire data arrays from storage to client nodes for processing into displayable graphics objects. However, this full data transfer is often unnecessary, as many visualization filters operate on only small subsets of data in a data array. With the rise of computational storage, smart NICs, and smart devices enabling offloaded processing, this paper examines a case where a visualization pipeline is divided into pre-filters that run near data and post-filters that execute on the client side. Pre-filters preprocess the data near it on storage nodes, reducing data volumes before transfer based on downstream pipeline needs, while post-filters complete the processing on the client node. Experiments done on two real-world simulation datasets demonstrate that this approach can significantly reduce network transfer volumes, cutting visualization pipeline data load times by up to 2.8× compared to traditional methods, and up to 11.9× when combined with data compression techniques.

关键词： Performance evaluation Filters Pipelines Data visualization Data compression Telecommunication traffic Rendering (computer graphics) Arrays Smart devices Testing

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A Novel Approach to Super-Resolution and Denoising: Refining Medical Image quality and Diagnostic Textual 2

A Novel Approach to Super-Resolution and Denoising: Refining...

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2nd international conference on Advances in Computation, Communication and Information Technology, ICAICCIT 2024

作者： Anjum, Ayesha Tabassum, Husna Spoorthi, C.K. Kumar, Sujeet Swetha, S. Veena Department of Computer Science & Engineering HKBK College of Engineering Karnataka India

ISBN: (纸本)9798331541217

One of the promising recent advances in medical imaging is indeed the successful exploration of GANs for applications such as image super-resolution and text enhancement. Most GAN-based approaches, however, have been driven for a single modality: enhancing the qualityof images or text clarity-while simultaneously eliciting little attention towards the two interrelated aspects. A new dual- GAN framework is therefore proposed to overcome this limitation by combining the merits of both Image Super- Resolution GAN and Text Enhancement GAN. In this merged approach, both the resolution of images and the adequacy of the textual annotation improved to enhance diagnostic accuracy as well as improve the visualization of small lesions and tissue structures in medical images. The system works on the principle of cross-domain benefit sharing;enhancement in either quality, the image, or the text, naturally boosts the quality of the other. The performance of the proposed dual-GAN system is measuredthrough some key metrics, such as Peak Signal-to-NoiseRatio (PSNR), Structural Similarity Index (SSIM) and Optical Character Recognition (OCR) accuracy to provide clear evidence of significant improvement in both image andtext qualities as compared with other conventional methods. This innovation improves the process of clinical decision- making in the sense that clearer images and text are more accurate. The approach has tremendous potential for much wider practical applications: document scanning, surveillance, astronomy, and microscopy-all applications where textual and visual clarity are important for precision and analysis. © 2024 IEEE.

关键词： Image annotation

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MixRT: Mixed Neural Representations For Real-Time NeRF Rendering

MixRT: Mixed Neural Representations For Real-Time NeRF Rende...

引用

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

作者： Chaojian Li Bichen Wu Peter Vajda Yingyan Lin Georgia Tech Gen AI Meta

ISBN: (数字)9798350362459

ISBN: (纸本)9798350362466

Neural Radiance Field (NeRF) has emerged as a leading technique for novel view synthesis, owing to its impressive photorealistic reconstruction and rendering capability. Nevertheless, achieving real-time NeRF rendering in large-scale scenes has presented challenges, often leading to the adoption of either intricate baked mesh representations with a substantial number of triangles or resource-intensive ray marching in baked representations. We challenge these conventions, observing that high-quality geometry, represented by meshes with substantial triangles, is not necessary for achieving photorealistic rendering quality. Consequently, we propose MixRT, a novel NeRF representation that includes a low-quality mesh, a view-dependent displacement map, and a compressed NeRF model. This design effectively harnesses the capabilities of existing graphics hardware, thus enabling real-time NeRF rendering on edge devices. Leveraging a highly-optimized WebGL-based rendering framework, our proposed MixRT attains real-time rendering speeds on edge devices (over 30 FPS at a resolution of $1280 \times 720$ on a MacBook M1 Pro laptop), better rendering quality (0.2 PSNR higher in indoor scenes of the Unbounded-360 datasets), and a smaller storage size (less than 80% compared to state-of-the-art methods).

关键词： Geometry graphics Three-dimensional displays Runtime Portable computers Memory management Rendering (computer graphics)

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Kinect Sensor-Based Indoor 3D Reconstruction - A Pilot Study 7

Kinect Sensor-Based Indoor 3D Reconstruction - A Pilot Study

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7th IEEE international conference on Computational Systems and Information Technology for Sustainable Solutions, CSITSS 2023

作者： Amruth Mandappa, T.S. Pavan Kumar, B.N. Chakravarthi, Bharatesh Manjunath, V. Girish, N. Prabhu Prasad, M. Iiit Dharwad Dept. of Cse India Iiit Sri City Dept. of Cse India Scai Arizona State University Active Perception Group United States Iiit Dharwad Dept. of Data Science and Intelligent Systems India

ISBN: (纸本)9798350343144

This study investigates the application of a low-cost Kinect sensor for 3D reconstruction inside. The project uses structured light technologies and the Kinect depth sensor to collect and rebuild interior surroundings in three dimensions. The primary goal is to provide realistic 3D representations of interior locations for a variety of purposes. Using the Kinect sensor and specialized software, interior scenes are scanned and then recreated. The outcomes indicate how well the Kinect-based method works for producing accurate indoor 3D reconstructions, and also suggest possible uses for it in a number of industries, including robotics, virtual reality, and architectural visualization. This work advances the use of Kinect sensors for indoor 3D reconstruction, providing new opportunities for improved spatial comprehension and virtual environment engagement. © 2023 IEEE.

关键词： Three dimensional computer graphics

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Development and Application of Virtual Assembly Training System of Mine Drilling Rig Based on Unity3D 5

Development and Application of Virtual Assembly Training Sys...

引用

5th international conference on Internet of Things, Automation and Artificial Intelligence, IoTAAI 2023

作者： Chen, Guoping Chen, Guo Ma, Haiwu Liu, Guiqin Song, Shijie Inner Mongolia Alashan League Tianrong Coal Co. Inner Mongolia China Co. Ltd ShaanXi China

ISBN: (纸本)9798400716485

The work aims to improving the current situation that the content and mode of assembly training for coal mine drilling rigs in mechanical workshops are low level of visualization, which leading to low training quality. Combined with the modeling advantages of UG and 3DS Max animation software, the 3d model reconstruction and texture mapping processing methods were discussed, and the model structure tree was built. Assembly system was achieved by c # language to write the core of the script, to study the related assembly animation path control, and design the system UI interface. Based on Unity3D virtual engine platform, a set of system for coal mine drilling rigs is developed and implemented from the perspective of the first person. The HTC VIVE Pro external headset is used to dock the system for debugging, operation and final release, and man-machine interaction operation could be realized. The research results not only show the complete assembly process of the mechanical assembly workshop, but also give the trainees novel and vivid teaching experience through friendly man-machine interaction, and preliminary exploration of virtual reality technology in coal mine drilling rig intelligent direction interact with remote control. At the same time, it also provides a new method reference for the market promotion and application of coal mine drilling rig. © 2023 ACM.

关键词： Three dimensional computer graphics

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An Interaction Paradigm to Facilitate Cardiac and Nerve Anatomy using Augmented and Virtual Reality

An Interaction Paradigm to Facilitate Cardiac and Nerve Anat...

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Recent Advances in Science and Engineering Technology (ICRASET), international conference on

作者： Y M Manu B Naveen N M Niveditha B S Siddartha P H Gangadharagowda H D Priyanak Computer Science and Engineering BGS Institute of Technology Adichunchanagiri University BG Nagara Karnataka Electronics and Communication BGS Institute of Technology Adichunchanagiri University BG Nagara Karnataka Information Science GM Institute of Technology GM University Davanagere Karnataka Computer Science and Engineering Sapiens Private Limited Bangalore Karnataka Chemistry BGS Institute of Technology Adichunchanagiri University BG Nagara Karnataka

ISBN: (数字)9798350388602

ISBN: (纸本)9798350388619

This work describes a design methodology for developing an interactive visualization environment using Augmented Reality (AR) based on Head Mounted Displays (HMDs) to provide a learning experience for cardiac and Nerve anatomy. After precise model geometry was obtained by computed tomography imaging techniques and optimized in a 3D modeling software package, photo-realistic texture mapping was achieved by using 3D painting software. Using this strategy makes modeling intricate, organic geometry easier. The Unity game engine was used to provide animation, rendering methods, and augmented reality functionality. The architecture and development of the system depicts complicated learning information, maximizes immersion, and facilitates natural gesture interaction inside a real-world learning environment. An accessible way to illustrate cross-section rendering in augmented reality was achieved by combining hand input with a surgical dissection metaphor. This technique has led to well-directed lessons being learned.

关键词： Geometry Solid modeling visualization Three-dimensional displays Computational modeling Games Rendering (computer graphics) Anatomy Augmented reality Engines

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Multimodal 3D Object Retrieval 30th

Multimodal 3D Object Retrieval

引用

30th international conference on MultiMedia Modeling, MMM 2024

作者： Pegia, Maria Jónsson, Björn Þór Moumtzidou, Anastasia Diplaris, Sotiris Gialampoukidis, Ilias Vrochidis, Stefanos Kompatsiaris, Ioannis Centre for Research and Technology Hellas Information Technologies Institute Thessaloniki Greece Reykjavik University Reykjavík Iceland

ISBN: (纸本)9783031533013

Three-dimensional (3D) retrieval of objects and models plays a crucial role in many application areas, such as industrial design, medical imaging, gaming and virtual and augmented reality. Such 3D retrieval involves storing and retrieving different representations of single objects, such as images, meshes or point clouds. Early approaches considered only one such representation modality, but recently the CMCL method has been proposed, which considers multimodal representations. Multimodal retrieval, meanwhile, has recently seen significant interest in the image retrieval domain. In this paper, we explore the application of state-of-the-art multimodal image representations to 3D retrieval, in comparison to existing 3D approaches. In a detailed study over two benchmark 3D datasets, we show that the MuseHash approach from the image domain outperforms other approaches, improving recall over the CMCL approach by about 11 % for unimodal retrieval and 9 % for multimodal retrieval. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Three dimensional computer graphics

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Image Recognition of Concrete Electromagnetic Flaw Detection Based on Improved YOLOv7 24

Image Recognition of Concrete Electromagnetic Flaw Detection...

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7th international conference on Image and graphics Processing, ICIGP 2024

作者： Yuan, Shuai Yuan, Ze He, Kai School of Computer Science and Engineering Shenyang Jianzhu University China Liaoning Province Big Data Management and Analysis Laboratory of Urban Construction China Shenyang Branch of National Special Computer Engineering Technology Research Center China School of Electrical and Control Engineering Shenyang Jianzhu University China

ISBN: (纸本)9798400716720

Owing to the invisibility characteristics of the interiors of concrete structures, nondestructive testing technologies are commonly employed to detect internal damage. Electromagnetic flaw detection technology, as a prominent nondestructive testing method, offers capabilities of strong penetration and precise imaging. However, the output images produced by this detection technology are usually reliant on subjective human judgment, and existing automatic detection algorithms have limitations in terms of accuracy. To enhance the accuracy of electromagnetic flaw detection images, this paper proposes improved YOLOv7 based detection method. First of all, the ACBlock convolution module is introduced to replace the original 3×3 convolution kernel for alleviating the loss of edge feature information caused by the sampling operation of the backbone network MP module. Next, in order to have more focus on the semantic features of small targets, a global attention mechanism (GAMAttention) is incorporated into the algorithm. Then, the FReLU activation function is adopted to enhance the algorithm sensitivity to image space. Finally, experiments are conducted on a self-created concrete flaw detection image dataset to illustrate the efficiency of the proposed algorithm. The results show that the mean Average Precision (mAP) value achieved by the improved algorithm is 95.85%. which has a significant improvement of 13.89% in comparison with the pre-improved YOLOv7 algorithm and surpasses other algorithms in the same domain. These findings represent that the proposed algorithm effectively enhances the accuracy of concrete electromagnetic flaw detection image detection. © 2024 ACM.

关键词： Nondestructive examination

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HTML 5-Based Learning for 3D computer graphics and GIS 19th

HTML 5-Based Learning for 3D Computer Graphics and GIS

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19th international conference on Web-Based Learning / 5th international Symposium on Emerging Technologies for Education ICWL/SETE)

作者： Yu, Changbin Fu, Mingming Pang, Chaoyi Minist Nat Resources Key Lab Urban Land Resources Monitoring & Simulat 69 Xinwen RdLianhua St Shenzhen Guangdong Peoples R China Shenzhen Res Ctr Digital City Engn 69 Xinwen RdLianhua St Shenzhen Guangdong Peoples R China Ningbo Tech Univ Sch Comp & Data Engn 1 Qianhu South Rd Ningbo Zhejiang Peoples R China Natl Adm Surveying Mapping & Geoinformat Key Lab Digital Mapping & Land Informat Applicat Beijing Peoples R China Wuhan Univ Sch Resource & Environm Sci Wuhan Peoples R China

ISBN: (纸本)9783030669058;9783030669065

The online learning becomes more and more popular where visualization of 3D objects can be employed to lots of fields, e.g., 3D building information modeling for architecture, 3D city model for urban planning, 3D animation for film, 3D skeleton visualization of medical treatment, etc.. In tradition, the most popular tool for 3D modeling and visualization is OpenGL which is based on Client/Server. In another word, C++ code for OpenGL must be installed and configured firstly which is not convenient for new beginners. By contrast, this paper focus on visualization of 3D objects in computer graphics and GIS (Geographic Information System) purely depending on JavaScript technology where no additional software or plugins, applet, ActiveX control is needed. Typical JavaScript libraries covers ThreeJS for computer graphics, OpenLayers for 2D GIS and CesiumJS for 3D GIS. Based on the above libraries, e-learners could view and manipulate 3D objects in web browser (e.g., Google Chrome). Such intuitive and convenient 3D visualization and manipulation results in much more interesting for learning.

关键词： WebGL 3D computer graphics 3D GIS E-learning

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Attention-Based Multi-Scale Fusion for Brain Tumor Classification with Explainable AI

Attention-Based Multi-Scale Fusion for Brain Tumor Classific...

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international conference on Electrical, computer and Communication Engineering (ECCE)

作者： Md. Asraful Sharker Nirob Prayma Bishshash Tania Khatun Shayla Sharmin Md Zahid Hasan Mohammad Shamsul Arefin Department of Computer Science & Engineering Daffodil International University Dhaka Bangladesh Division of Computer Science and Engineering Louisiana State University Baton Rouge Louisiana USA Department of Computer Science & Engineering Chittagong University of Engineering and Technology Chittagong Bangladesh

ISBN: (数字)9798350357509

ISBN: (纸本)9798350357516

Accurate classification of brain tumors from MRI scans is crucial for effective diagnosis and treatment planning in neuro-oncology. This study presents a comprehensive framework leveraging advanced deep-learning techniques and visualization methods to achieve precise tumor classification. Our methodology involves merging two diverse datasets, performing data augmentation, and standardizing image dimensions to facilitate robust model training. We propose an attention-based multiscale fusion model, which integrates spatial attention and multi-scale fusion layers, achieving an accuracy of 99.17%, surpassing other models such as DenseNet201 (87.21%), InceptionV3 (82.30%), and MobileNet V3 (92.01%). Advanced visualization techniques, including Grad-CAM, enhance interpretability and confidence in diagnostic assessments. Moving forward, future work could explore integrating multi-modal imaging data and addressing challenges related to data scarcity and class imbalances to enhance diagnostic accuracy further and personalize treatment recommendations. Collaboration between computer scientists and clinicians is essential for seamless integration of AI systems into clinical workflows, ensuring reliable and safe deployment in real-world settings.

关键词： Training Accuracy Explainable AI Magnetic resonance imaging Brain tumors Data visualization Collaboration Brain modeling Data augmentation Data models

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