检索结果-内蒙古大学图书馆

您好，读者！请登录

内蒙古大学图书馆

首页
概况
党建
资源
服务
科研支持
- 论文收录引用证明
- 科技查新
知识产权
档案馆
帮助

咨询与建议

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

您的常用邮箱：*

您的手机号码：*

问题描述：

当前已输入0个字，您还可以输入200个字

全部搜索
期刊论文
图书
学位论文
标准
纸本馆藏
外文资源发现
数据库导航
超星发现

高级检索

时间限定

出版年份：

文献类型

图书期刊文献学位论文多媒体

馆藏选择

电子馆藏纸本馆藏

核心期刊

全部期刊 SCI 收录期刊 SSCI 收录期刊 EI 收录期刊 CSCD 收录期刊 CSSCI 收录期刊

语言

中文英文

文献类型

期刊文献图书学位论文标准纸本馆藏

帮助

文字说明：

T=题名（书名、题名），A=作者（责任者），K=主题词，P=出版物名称，PU=出版社名称，O=机构（作者单位、学位授予单位、专利申请人），L=中图分类号，C=学科分类号，U=全部字段，Y=年（出版发行年、学位年度、标准发布年）

检索规则说明：

AND代表“并且”；OR代表“或者”；NOT代表“不包含”；(注意必须大写,运算符两边需空一格)

检索范例：

范例一：(K=图书馆学 OR K=情报学) AND A=范并思 AND Y=1982-2016
范例二：P=计算机应用与软件 AND (U=C++ OR U=Basic) NOT K=Visual AND Y=2011-2016

分类表

所选分类

>> <<

限定检索结果

文献类型

1,507 篇 会议
42 篇 期刊文献
3 篇 学位论文
1 册 图书

馆藏范围

1,553 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

1,154 篇 工学
- 754 篇 计算机科学与技术...
- 416 篇 软件工程
- 319 篇 测绘科学与技术
- 204 篇 建筑学
- 168 篇 光学工程
- 121 篇 土木工程
- 106 篇 电气工程
- 66 篇 生物医学工程（可授...
- 65 篇 信息与通信工程
- 65 篇 控制科学与工程
- 53 篇 机械工程
- 41 篇 生物工程
- 37 篇 材料科学与工程（可...
- 27 篇 仪器科学与技术
- 27 篇 化学工程与技术
- 24 篇 电子科学与技术（可...
494 篇 理学
- 222 篇 地理学
- 133 篇 物理学
- 96 篇 数学
- 48 篇 生物学
- 26 篇 化学
- 17 篇 地质学
428 篇 医学
- 398 篇 临床医学
- 33 篇 基础医学(可授医学...
- 29 篇 特种医学
- 18 篇 药学(可授医学、理...
100 篇 管理学
- 54 篇 管理科学与工程(可...
- 44 篇 图书情报与档案管...
56 篇 历史学
- 55 篇 考古学
19 篇 法学
- 19 篇 社会学
12 篇 教育学
11 篇 农学
5 篇 经济学
2 篇 文学
2 篇 军事学
1 篇 艺术学

主题

204 篇 virtual reality
157 篇 visualization
155 篇 image reconstruc...
137 篇 three-dimensiona...
110 篇 3d reconstructio...
93 篇 solid modeling
88 篇 cultural heritag...
87 篇 photogrammetry
62 篇 cameras
58 篇 augmented realit...
58 篇 surface reconstr...
51 篇 3d modelling
50 篇 3d modeling
47 篇 shape
44 篇 laser scanning
37 篇 data visualizati...
35 篇 geometry
34 篇 reconstruction
34 篇 image segmentati...
34 篇 layout

机构

14 篇 beihang univ sta...
14 篇 state key labora...
8 篇 univ debrecen fa...
6 篇 bruno kessler fd...
6 篇 beihang univ qin...
5 篇 trento
5 篇 kazimierz wielki...
5 篇 university of to...
4 篇 univ toronto on
4 篇 hajdusagi museum...
4 篇 beijing normal u...
4 篇 univ salamanca h...
4 篇 politecn milan d...
4 篇 tianjin univ tec...
4 篇 beihang universi...
4 篇 bruno kessler fd...
4 篇 univ palermo dep...
4 篇 univ ferrara dep...
3 篇 shanghai jiao to...
3 篇 shanghai ai lab

作者

22 篇 remondino f.
15 篇 barazzetti l.
14 篇 georgopoulos a.
10 篇 fassi f.
10 篇 qi yue
9 篇 previtali m.
9 篇 yue qi
8 篇 gilanyi attila
8 篇 scaioni m.
8 篇 roncoroni f.
7 篇 menna f.
7 篇 grussenmeyer p.
7 篇 luo xun
7 篇 adami a.
6 篇 tucci g.
6 篇 chmielewska kata...
6 篇 remondino fabio
5 篇 zhu yunrui
5 篇 agrafiotis p.
5 篇 achille c.

语言

1,525 篇 英文
22 篇 其他
5 篇 中文
3 篇 西班牙文

检索条件"任意字段=Conference on 3D Virtual Reconstruction and Visualization of Complex Architectures"

共 1553 条记录，以下是301-310 订阅

全选清除本页清除全部题录导出标记到"检索档案"

详细简洁

排序：

31st International conference on Multimedia Modeling, MMM 2025

31st International Conference on Multimedia Modeling, MMM 20...

引用

31st International conference on Multimedia Modeling, MMM 2025

ISBN: (纸本)9789819620609

The proceedings contain 176 papers. The special focus in this conference is on Multimedia Modeling. The topics include: GWUNet: A UNet with Gated Attention and Improved Wavelet Transform for Thyroid Nodules Segmentation;HCV: Lightweight Hybrid CNN-Vision Transformer for Visual Object Tracking;hierArtEx: Hierarchical Representations and Art Experts Supporting the Retrieval of Museums in the Metaverse;hybrid Scalable Video Coding with Neural Compression and Enhancement for Streaming Media;Hyper-NeuS: Hypernetworks for Neural SdF Implicit Surface reconstruction by Volume Rendering;Image-Generation AI Model Retrieval by Contrastive Learning-Based Style distance Calculation;Improving Singing Voice Transcription Generalization with AI Generated Accompaniments;infrared Small Target detection with Feature Refinement and Context Enhancement;innovative Lifelog visualization and Exploration in virtual Reality – A Comparative Study;integrating S1 &S2 Framework for Enhanced Semantic Match in Person Re-identification;intra-class Compact Facial Expression Recognition Based on Amplitude Phase Separation;joint decision Network with Modality-Specific and dual Interactive Features for Fake News detection;kiite World: Socializing Map-Based Music Exploration Through Playlist Sharing and Synchronized Listening;kuzushijidiffuser: Japanese Kuzushiji Font Generation with Fontdiffuser;LIESA: Low-Light Image Enhancement with Semantic Awareness;lightweight dual Grouped Large-Kernel Convolutions for Salient Object detection Network;lightweight Motion-Aware Video Super-Resolution for Compressed Videos;LITA: LMM-Guided Image-Text Alignment for Art Assessment;LLMs-Based Augmentation for domain Adaptation in Long-Tailed Food datasets;making Strides Security in Multimodal Fake News detection Models: A Comprehensive Analysis of Adversarial Attacks;mambaTalk: Speech-driven 3d Facial Animation with Mamba;MC-YOLO: Multi-scale Transmission Line defect Target Recognition Network;MdT-Net: A Mask decoder Tu

关键词：

来源：评论

学校读者我要写书评

暂无评论

31st International conference on Multimedia Modeling, MMM 2025

31st International Conference on Multimedia Modeling, MMM 20...

引用

31st International conference on Multimedia Modeling, MMM 2025

ISBN: (纸本)9789819620630

关键词：

来源：评论

学校读者我要写书评

暂无评论

31st International conference on Multimedia Modeling, MMM 2025

31st International Conference on Multimedia Modeling, MMM 20...

引用

31st International conference on Multimedia Modeling, MMM 2025

ISBN: (纸本)9789819620531

关键词：

来源：评论

学校读者我要写书评

暂无评论

31st International conference on Multimedia Modeling, MMM 2025

31st International Conference on Multimedia Modeling, MMM 20...

引用

31st International conference on Multimedia Modeling, MMM 2025

ISBN: (纸本)9789819620739

关键词：

来源：评论

学校读者我要写书评

暂无评论

reconstruction of 3d vascular flow patterns from sparse angiographic data using a 3d Convolutional Neural Network (CNN)

Reconstruction of 3D vascular flow patterns from sparse angi...

引用

2025 conference on Medical Imaging

作者： White, R. E. Mattei, M. diaz, B. Kaden, S. Brenner, M. Smith, E. Khan, Mah Mras, G. dunn, K. Williams, K. A. Vanderbilt, E. Nagesh, S. V. Setlur Ionita, C. Bednarek, d. R. Rudin, S. White, R. T. Chivukula, V. K. Florida Inst Technol Biomed Engn Melbourne FL 32901 USA SUNY Buffalo Canon Stroke & Vasc Res Ctr Buffalo NY USA Florida Inst Technol Math Melbourne FL 32901 USA

ISBN: (纸本)9781510685987;9781510685994

Cerebral aneurysms (CAs) can have adverse consequences if ruptured, including severe disability or death. Minimally invasive endovascular procedures to treat cerebral aneurysms involve the intricate placement of coiling or flow diverters guided by 2d angiography;however, retreatment is often necessary. However, cerebral vasculature and the corresponding hemodynamics are highly three-dimensional, with complex 3d curvature and tortuosity. Current imaging techniques used during procedures are 2d projections that 'flatten' the complex flow characteristics. In this study, we developed a novel method for using three orthogonal angiographic image projections to reconstruct the 3d volumetric angiographic contrast transport in cerebral angiography from sparse angiographic data using a convolutional neural network. We utilize a large dataset of aneurysm geometries of patient-specific cerebral aneurysms and surrounding vasculature with complex morphologies and sizes. For each aneurysm, angiography was simulated using a transient computational fluid dynamic model quantifying blood and contrast flow characteristics. virtual angiographic images were obtained using 2d projections of the gridded data in 3 orthogonal directions for 2,639 unique time frames. The 2d projected virtual angiograms and an anatomical mask were inputs to a custom-built model architecture. We developed the 3d Angiographic reconstruction Neural Network as a 3d convolutional neural network that reconstructs contrast in 3d in a frame-by-frame approach. For the tested patient-specific models, the heterogeneous 3d nature of the contrast was identified, and the contrast transport through the vasculature was successfully reconstructed across successive time frames. The average mean square error across all the unseen test patients was 5.27E-04. Providing clinicians with additional information regarding 3d CA hemodynamics can improve the assessment and treatment of CAs.

关键词： Cerebrovascular Aneurysm reconstruction Angiography Hemodynamics 3d Convolutional Neural Network CFd

来源：评论

学校读者我要写书评

暂无评论

Streamline 3d simulation model development for virtual commissioning with IEC61499 10th

Streamline 3D simulation model development for virtual commi...

引用

10th IFAC Triennial conference on Manufacturing Modelling, Management and Control (MIM)

作者： Rovere, diego Silvestri, Marco dal Maso, Giovanni dzafic, Hilmo Pedrazzoli, Paolo Univ Appl Sci & Arts Southern Switzerland Dept Innovat Technol CH-6900 Lugano Switzerland Univ Parma Dept Engn & Architecture I-43124 Parma Italy Technol Transfer Syst Srl I-20131 Milan Italy nxtControl GmbH A-2544 Leobersdorf Austria

Current discrete manufacturing systems are characterized by an ever-increasing complexity, demanding for innovative solutions, capable to optimize performances while increasing the resilience and the capability to adapt to production modifications. With such a background, changing perspective to deal with distributed modular architectures of Cyber Physical Systems is mandatory, and the IEC 61499 standard, its object oriented, and event-based approaches promote this paradigm shift. The multi-disciplinary nature of the CPS entities and the possibility to exploit their digital counterparts, paves the way for the development of enhanced decision-support systems like the ones dedicated to virtual Commissioning (VC). VC supports the automation developer in evaluating the impact of different management strategies, increasing the reliability of the final control applications, while reducing the amount of time to carry on physical tests on the real mechatronic system. However, creating a virtual commissioning model is still a complex and potentially expensive process that needs to be carried out by different professionals who must tightly cooperate to generate an effective playground for the automation testing. We propose a new approach to the design and develop virtual commissioning models, that, leveraging the synergies between modular simulation and IEC 61499 automation technologies, aims at improving the efficiency of the overall process of implementing 3d simulation digital twins for complex automated discrete manufacturing systems. The paper describes an open architecture, composed of reference data models and software API, and presents a proof-of-concept implementation of an integrated engineering platform of VC models. Copyright (C) 2022 The Authors.

关键词： virtual Commissioning Simulation IEC61499 CPS distributed Automation

来源：评论

学校读者我要写书评

暂无评论

Kinematically Admissible Editing of the Measured Sensor Motion data for virtual reconstruction of Plausible Human Movements

Kinematically Admissible Editing of the Measured Sensor Moti...

引用

IEEE International conference on Systems, Man, and Cybernetics (SMC)

作者： Balasubramanyam, Adithya Patil, Ashok Kumar Chakravarthi, Bharatesh Ryu, Jaeyeong Chai, Young Ho PES Univ Dept Comp Sci & Engn Bengaluru India Chung Ang Univ GSAIM Seoul South Korea

ISBN: (纸本)9781665442077

Sensor acquired data from inertial measurement unit based motion capture systems often do not conform to human body kinematics. Although the data may appear visually correct when reconstructed on a stick model or 3d avatar, it does not represent natural movement when visualized on 3d data analytical tools, such as Motion-sphere. This work extends the Motion-Sphere human motion data visualization and analysis tool to edit sensor acquired human motion data (SHMd) to strictly adhere to human body kinematics. We use knee and elbow joint movements from the range of motion data in the TotalCapture dataset to compare SHMd against edited human motion data. This work proposes a method to edit SHMd using Motion Sphere for kinematic correctness. We verify that edited human motion data is admissible to human body kinematics and improves virtual reconstruction on 3d avatar and joint position estimation accuracy. Our results highlight the requirement for data visualization and editing tools, such as Motion-sphere to edit and clean SHMd.

关键词： Spheres

来源：评论

学校读者我要写书评

暂无评论

Intelligent Safety detection System of Freight Car Based on 3d Image Technology 5th

Intelligent Safety Detection System of Freight Car Based on ...

引用

5th International conference on Electrical Engineering and Information Technologies for Rail Transportation, EITRT 2021

作者： He, Yao Sun, Xiao Wu, Wei Liu, Ze Kun Zhuang, Guo Jun Sifang Rolling Stock Research Institute Co. Ltd. Shandong Qingdao266000 China Transportation Marketing Department Shandong Hi-Speed Rail Transit Group Co. Ltd. Shandong Jinan250000 China

ISBN: (纸本)9789811699122

In this paper, aiming at the problems of poor imaging effect and high false alarm rate of traditional Trouble of Moving Freight Car detection System (TFdS), a 3d detection system for freight car based on point cloud data is proposed. The system uses 3d reconstruction technology, point cloud real-time processing technology and 3d image recognition technology to identify faults, effectively reduces the interference of complex working conditions such as oil pollution on the surface of freight cars, and improves the fault detection rate of the system. The composition of the system and the technical principle of the key technology are briefly described, and the application situation is briefly described. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Image recognition

来源：评论

学校读者我要写书评

暂无评论

dL-Recon: Combining 3d deep Learning Image Synthesis and Model Uncertainty with Physics-Based Image reconstruction 7

DL-Recon: Combining 3D Deep Learning Image Synthesis and Mod...

引用

7th International conference on Image Formation in X-Ray Computed Tomography

作者： Zhang, Xiaoxuan Wu, Pengwei Zbijewski, Wojciech B. Sisniega, Alejandro Han, Runze Jones, Craig K. Vagdargi, Prasad Uneri, Ali Helm, Patrick A. Anderson, William S. Siewerdsen, Jeffrey H. Department of Biomedical Engineering Johns Hopkins University BaltimoreMD United States Department of Computer Science Johns Hopkins University BaltimoreMD United States Medtronic Inc. LittletonMA United States Department of Neurosurgery Johns Hopkins Medical Institute BaltimoreMD United States

ISBN: (纸本)9781510656697

High-precision image-guided neurosurgery - especially in the presence of brain shift - would benefit from intraoperative image quality beyond the conventional contrast-resolution limits of cone-beam CT (CBCT) for visualization of the brain parenchyma, ventricles, and intracranial hemorrhage. deep neural networks for 3d image reconstruction offer a promising basis for noise and artifact reduction, but generalizability can be challenged in scenarios involving features previously unseen in training data. We propose a 3d deep learning reconstruction framework (termed "dL-Recon") that integrates learning-based image synthesis with physics-based reconstruction to leverage strengths of each. A 3d conditional GAN was developed to generate synthesized CT from CBCT images. Uncertainty in the synthesis image was estimated in a spatially varying, voxel-wise manner via Monte-Carlo dropout and was shown to correlate with abnormalities or pathology not present in training data. The dL-Recon approach improves the fidelity of the resulting image by combining the synthesized image ("dL-Synthesis") with physics-based reconstruction (filtered back-projection (FBP) or other approaches) in a manner weighted by uncertainty - i.e., drawing more from the physics-based method in regions where model uncertainty is high. The performance of image synthesis, uncertainty estimation, and dL-Recon was investigated for the first time in real CBCT images of the brain. Variable input to the synthesis network was tested - including uncorrected FBP and precorrection with a simple (constant) scatter estimate - hypothesizing the latter to improve synthesis performance. The resulting uncertainty estimation was evaluated for the first time in real anatomical features not included in training (abnormalities and brain shift). The performance of dL-Recon was evaluated in terms of image uniformity, noise, and soft-tissue contrast-to-noise ratio in comparison to dL-Synthesis and FBP with a comprehensive artifact

关键词： Image enhancement

来源：评论

学校读者我要写书评

暂无评论

3d reconstruction Method of Indoor Scene Layout based on Neural Network

3D Reconstruction Method of Indoor Scene Layout based on Neu...

引用

Intelligent Systems and Computational Networks (ICISCN), International conference on

作者： Yingying Lin Changchun University of Architecture and Civil Engineering Changchun China

ISBN: (数字)9798331529246

ISBN: (纸本)9798331529253

In recent years, three-dimensional (3d) reconstruction technology of indoor scenes has been widely used in fields such as virtual reality and indoor navigation, but existing methods still have shortcomings in complex layout and occlusion processing. First, this paper uses a scene segmentation method based on convolutional neural network (CNN) to segment the input indoor image data into layers and extract feature information at different levels such as room structure, furniture, and objects. By training with a large amount of labeled data, the network can precisely identify different objects and distinguish their positions and boundaries in the scene. As the segmentation fineness increases (from 1 to 5), the mean depth error (MdE) decreases from 0.14 to 0.07. The structural similarity index (SSIM) gradually increases from 0.72 to 0.92. Through effective processing of different depths and scales, a new solution is provided for the 3d modeling of future indoor scenes.

关键词： Training Solid modeling Adaptation models Image segmentation Three-dimensional displays Computational modeling Neural networks Layout Feature extraction Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

没有更多数据了...

全选清除本页清除全部题录导出标记到“检索档案”

共156页 << < 27 28 29 30 31 32 33 34 35 36 > >>

检索报告对象比较合并检索0

隐藏清空

合并搜索

回到顶部

执行限定条件

内容：

评分：

请选择保存的检索档案：

请选择收藏分类：

订阅名称：

通借通还

温馨提示：

图书名称：

借书校区：

取书校区：

手机号码：

邮箱地址：

一卡通帐号：

电话和邮箱必须正确填写，我们会与您联系确认。

联系人：

所在院系：

联系邮箱：

联系电话：

内蒙古自治区呼和浩特市赛罕区大学西街235号邮编: 010021

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：