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

24,362 篇 会议
1,211 篇 期刊文献
42 册 图书
28 篇 学位论文
2 篇 资讯
1 篇 科技报告

馆藏范围

25,646 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

15,028 篇 工学
- 9,004 篇 计算机科学与技术...
- 4,810 篇 软件工程
- 4,383 篇 电气工程
- 3,023 篇 信息与通信工程
- 2,070 篇 控制科学与工程
- 1,443 篇 光学工程
- 1,384 篇 机械工程
- 1,334 篇 电子科学与技术（可...
- 1,139 篇 仪器科学与技术
- 909 篇 生物医学工程（可授...
- 510 篇 材料科学与工程（可...
- 502 篇 生物工程
- 408 篇 航空宇航科学与技...
- 407 篇 测绘科学与技术
- 395 篇 交通运输工程
- 280 篇 安全科学与工程
- 252 篇 化学工程与技术
- 213 篇 土木工程
5,911 篇 理学
- 4,000 篇 物理学
- 1,498 篇 数学
- 573 篇 生物学
- 366 篇 系统科学
- 328 篇 统计学（可授理学、...
- 304 篇 化学
2,898 篇 医学
- 2,566 篇 临床医学
- 494 篇 特种医学
- 269 篇 基础医学(可授医学...
1,279 篇 管理学
- 950 篇 管理科学与工程(可...
- 373 篇 图书情报与档案管...
- 237 篇 工商管理
171 篇 农学
126 篇 法学
90 篇 教育学
83 篇 经济学
53 篇 军事学
49 篇 文学
48 篇 艺术学
1 篇 哲学

主题

4,713 篇 image processing
2,042 篇 real-time system...
1,786 篇 image segmentati...
1,651 篇 cameras
1,231 篇 real time system...
1,043 篇 image edge detec...
977 篇 feature extracti...
888 篇 image reconstruc...
871 篇 hardware
760 篇 image coding
738 篇 computer vision
721 篇 object detection
712 篇 field programmab...
689 篇 image color anal...
677 篇 signal processin...
569 篇 streaming media
563 篇 image recognitio...
544 篇 computer archite...
541 篇 image enhancemen...
516 篇 image analysis

机构

74 篇 beijing key labo...
38 篇 beijing key labo...
29 篇 school of comput...
25 篇 university of ch...
23 篇 univ chinese aca...
21 篇 ieee
20 篇 华中科技大学
20 篇 college of compu...
19 篇 university of pi...
19 篇 school of inform...
19 篇 beijing institut...
18 篇 school of electr...
17 篇 radar research l...
16 篇 hubei province k...
15 篇 shanghai jiao to...
15 篇 univ sydney sch ...
13 篇 univ sydney aust...
13 篇 university of el...
13 篇 johns hopkins un...
12 篇 chitkara univers...

作者

19 篇 li li
16 篇 zhang lei
15 篇 jie yang
15 篇 liu jun
15 篇 jae wook jeon
14 篇 wei li
13 篇 li xin
13 篇 wang jian
13 篇 liu yang
12 篇 p. pirsch
11 篇 xu xin
11 篇 kang jin u.
11 篇 li yang
11 篇 zeng tao
11 篇 wang jing
11 篇 li tao
10 篇 jian wang
10 篇 jing zhang
10 篇 wei liu
10 篇 hao zhang

语言

24,809 篇 英文
521 篇 中文
271 篇 其他
40 篇 土耳其文
5 篇 俄文
4 篇 西班牙文
4 篇 日文
4 篇 葡萄牙文
3 篇 德文
1 篇 朝鲜文

检索条件"任意字段=Conference on Real-Time Image Processing 2006"

共 25646 条记录，以下是31-40 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：

An efficient multi-modal fusion bird's-eye view 3D object detection algorithm 5

An efficient multi-modal fusion bird's-eye view 3D object de...

引用

5th International conference on Signal processing and Computer Science, SPCS 2024

作者： Zheng, Ke Li, Qingxia Zhao, Chunsheng Tian, Chuanyin CATARC Intelligent & Connected Technology Co. Ltd. Tianjin300393 China

ISBN: (数字)9781510686731

ISBN: (纸本)9781510686724

At present, the perception method based on bird's-eye view has become the mainstream of autonomous driving perception. It realizes comprehensive perception of the vehicle's surrounding environment by fusing multiple sensors at the feature level. However, the existing multi-modal fusion perception methods based on bird's-eye view usually require extremely high computing resources, especially in the multi-camera view image conversion processing. In addition, the key to multi-modal bird's-eye view perception lies in how to efficiently fuse point cloud features and image features. To address these defects, this paper proposes a novel multi-modal bird's-eye view perception algorithm. First, this paper proposes an index lookup calculation method for the conversion of multi-view image features to bird's-eye view perspective. This method greatly reduces the consumption of computing resources without basically reducing information. Secondly, this paper proposes a feature fusion method, which uses a cross-modal attention mechanism to enhance the interaction between different modal features, realize dynamic spatiotemporal alignment and fusion. Experimental results show that the method proposed in this paper can effectively perceive the environment and can be deployed on a real vehicle platform for real-time detection. © 2025 SPIE.

关键词： image enhancement

来源：评论

学校读者我要写书评

暂无评论

Vision-Guided Robotic System: image processing and Kinematic Integration 3rd

Vision-Guided Robotic System: Image Processing and Kinematic...

引用

3rd World conference on Intelligent and 3D Technologies, WCI3DT 2024

作者： Wan, Changcheng School of Geospatial Engineering and Science Sun Yat-sen University Zhuhai China

ISBN: (纸本)9789819791279

This paper explores the development and implementation of a sophisticated vision-guided robotic manipulation system, underpinning advancements in manufacturing, healthcare, and service robotics through the integration of image processing and kinematic control. The system employs a serial-link robotic arm equipped with a high-resolution camera, facilitating real-time environment interaction through precise object tracking and manipulation. Central to the research is the design of the robotic arm’s kinematic model, the application of advanced image processing for object detection and tracking, and the formulation of control strategies translating visual data into accurate manipulative actions. The study underscores the significance of merging image processing with robotic control to adapt dynamically to changing environments, leveraging techniques such as background subtraction, median filtering, and binary thresholding for efficient object isolation. The implementation of kinematic equations enables the calculation of the robotic arm’s movements to interact with objects accurately, considering spatial positioning and geometric constraints. Experimental results demonstrate the system’s efficacy in enhancing operational efficiency and flexibility in diverse application scenarios, achieving over 95% tracking accuracy and rapid response times. This research contributes to the robotic manipulation field, highlighting the potential of combining image processing and kinematic control to innovate robotic system designs, with broad implications for industrial automation and assistive technologies. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Median filters

来源：评论

学校读者我要写书评

暂无评论

Hardware-Aware Depth image Classification Model for In-Sensor AI Integration

Hardware-Aware Depth Image Classification Model for In-Sens...

引用

International conference on Applications in Electronics Pervading Industry, Environment and Society, APPLEPIES 2024

作者： Fasolino, Andrea Licciardo, Gian Domenico Vitolo, Paola Liguori, Rosalba Di Benedetto, Luigi Rubino, Alfredo Pau, Danilo Department of Industrial Engineering University of Salerno Fisciano Salerno84084 Italy System Research and Applications STMicroelectronics Agrate Brianza20041 Italy

ISBN: (纸本)9783031840999

The shift of computing capabilities towards edge sensing elements in image classification tasks is leading to the substitution of cameras in some industrial and consumer tasks with ultra-low-resolution (ULR) time-of-Flight (ToF) sensors, thanks to their compactness and ultra-low power consumption. To effectively integrate classification capabilities into edge devices, a hardware-aware design of the classification algorithm and a careful custom Hardware (HW) post-processing core are needed. This work proposes a new compact and ultra-low power Neural Network (NN) that enables the implementation of a HW post-processing core for real-time classification tasks inside the sensor packaging. The resulting HW architecture has been prototyped on an AMD Xilinx Artix-7 FPGA, reaching an Energy per Inference consumption of 65.6 nJ and a power consumption of 1.095 μW at the maximum Output Data Rate of the sensor. Moreover, the implementation in Skywater 130 nm technology reveals an area occupation below 1 mm2, with a total power compared to the sensor consumption of about 11%. These results are significantly lower than the typical energy and power consumption of the sensor, enabling real-time post-processing of depth images and encouraging research in integrating classification capabilities next to sensing elements. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Digital storage

来源：评论

学校读者我要写书评

暂无评论

Dual-band image Sequence Registration based on Description of Velocity and Curvature Distribution 16

Dual-band Image Sequence Registration based on Description o...

引用

16th International conference on Signal processing Systems, ICSPS 2024

作者： Zhao, Bingqing Tang, Shanjun Li, Chuchen Yang, Beier Yang, Qingyu Shanghai Electro-Mechanical Engineering Institute Shanghai201109 China

ISBN: (纸本)9781510689251

The composite seeker based on multi-band imaging detection is the development focus of future precision-guided weapons. A certain seeker adopts a recognition and tracking strategy based on the fusion of long-wave infrared and visible light images. The quality of the fused image is closely related to the image registration accuracy. In order to solve the problem that the feature description of infrared and visible dual-band images is not identical due to large difference in grayscale texture information, we propose a registration algorithm based on description of velocity and curvature distribution. In particular, we first extract the infrared and visible light target foreground, and use the created velocity distribution description to complete the FAST corner point matching on the foreground contour. All the matched point pairs are used to achieve coarse contour registration. Then, we use the created curvature distribution description to complete the CSS corner point matching of the target foreground. Finally, a real-time updated matching reservoir is built to calculate the fine registration matrix. The experimental results of multiple sets of actual infrared/visible light image sequences show that the proposed algorithm can achieve better feature description identity and better registration accuracy than the other algorithms. © 2025 SPIE.

关键词： image fusion

来源：评论

学校读者我要写书评

暂无评论

Evaluation of the Mobile Handwriting Recognition Application Using Machine Learning and image processing 12th

Evaluation of the Mobile Handwriting Recognition Application...

引用

12th International conference on Frontiers of Intelligent Computing: Theory and Applications, FICTA 2024

作者： Reddy, A. Srinivasula Reddy, Areddy Divya Narasimharao, Jonnadula Veerender, A. Bhaskar, T. Spandana, J. Department of EEE CMR Engineering College Telangana Hyderabad India Department of CSE CMR Engineering College Telangana Hyderabad India Department of CSE CMR Technical Campus Telangana Hyderabad India CMR Technical Campus Telangana Hyderabad India Department of CSE CMR College of Engineering and Technology Telangana Hyderabad India

ISBN: (纸本)9789819601424

Character recognition is the main topic of this essay, with an emphasis on how it might be used in handwriting instruction. One of the main problems with the current landscape of handwriting instruction methods is that students are not given timely, individualized feedback or specific attention. Conventional approaches mostly rely on subjective and time-consuming human evaluation. To close this gap, creative technologically based solutions are desperately needed. This paper’s major goal is to create a real-time character identification system that can give users feedback, enhancing the handwriting instruction process. Developing a character identification system that is both efficient and smoothly incorporates methods such as image processing and machine learning is a major challenge. In order to accomplish this, a large collection of handwritten letters is meticulously gathered to guarantee a variety of writing styles and variants. The machine learning model is trained using this dataset as its foundation. Our findings demonstrate remarkable precision, with a mean recognition rate of more than 96% for a variety of styles of writing and variants. We analyze these results and show how our system significantly enhances the learning process in the conversation that follows. Our solution’s real-time feedback mechanism motivates pupils to greatly enhance their handwriting skills while streamlining the training process. In conclusion, this study successfully uses the complementary fields of image processing and machine learning to meet the pressing need for efficient handwriting instructional resources. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Adversarial machine learning

来源：评论

学校读者我要写书评

暂无评论

Performance Optimization of U-Net Network in Segmentation of Nerves image Dataset

Performance Optimization of U-Net Network in Segmentation of...

引用

2025 International conference on Multi-Agent Systems for Collaborative Intelligence, ICMSCI 2025

作者： Sreeja, G Veera Nagaraju, M. Theja, C.P. Sai Agarwal, Vikas Telangana Hyderabad India

ISBN: (纸本)9798331509828

This research explores the performance and optimization of U-Net architectures for segmenting nerve images. U-Nets are prevalent in medical image analysis due to their effectiveness in capturing detailed features and spatial relationships. Our focus is on enhancing U-Net models by fine-tuning hyperparameters, applying data augmentation techniques, and utilizing advanced loss functions to boost segmentation accuracy and computational efficiency. The study compares various U-Net variants, evaluating their effectiveness in preserving the delicate structures of nerve tissues. The results indicate that optimized U-Nets deliver high accuracy with reduced processing times, making them ideal for real-time medical applications. This research provides valuable insights into the practical use of U-Nets for nerve image segmentation and suggests avenues for future improvements. © 2025 IEEE.

关键词： Computational Modelling Data Augmentation Hyperparameter Tuning Medical image Analysis Nerve Disease Segmentation

来源：评论

学校读者我要写书评

暂无评论

Dynamic-Feature-Based Object Tracking Using real-time image processing 5th

Dynamic-Feature-Based Object Tracking Using Real-Time Image ...

引用

5th International conference on Data Science, Machine Learning and Applications, ICDSMLA 2023

作者： Mishra, Awakash Rengarajan Bhatt, Rahul Prince, P. Blessed Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh Lucknow India Karnataka Bangalore India Department of Computer Science & Engineering School of Engineering and Computing Dev Bhoomi Uttarakhand University Navgaon Manduwala Dehradun India School of Computer Science and Engineering Presidency University Karnataka Bengaluru India

ISBN: (纸本)9789819780426

This research explores the utility of today's real-time picture processing for dynamic-characteristic-primarily based object monitoring. Notably, this painting proposes a novel tracking method that combines an actual-time, place-primarily based convolutional neural community (R-CNN) with monitoring with the detection (TbD) technique. The proposed approach is for contemporary R-CNNs to constantly come across transferring objects in video frames and then modern-day the TbD technique to generate accurate item tracking information. The proposed system is evaluated on two benchmark datasets and compared to numerous tracking methods. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

Unified-EGformer: Exposure Guided Lightweight Transformer for Mixed-Exposure image Enhancement 27th

Unified-EGformer: Exposure Guided Lightweight Transformer fo...

引用

27th International conference on Pattern Recognition, ICPR 2024

作者： Adhikarla, Eashan Zhang, Kai VidalMata, Rosaura G. Aithal, Manjushree Madhusudhana, Nikhil Ambha Nicholson, John Sun, Lichao Davison, Brian D. Lehigh University BethlehemPA18015 United States Lenovo Research Morrisville United States

ISBN: (纸本)9783031781094

Despite recent strides made by AI in image processing, the issue of mixed exposure, pivotal in many real-world scenarios like surveillance and photography, remains a challenge. Traditional image enhancement techniques and current transformer models are limited with primary focus on either overexposure or underexposure. To bridge this gap, we introduce the Unified-Exposure Guided Transformer (Unified-EGformer). Our proposed solution is built upon advanced transformer architectures, equipped with local pixel-level refinement and global refinement blocks for color correction and image-wide adjustments. We employ a guided attention mechanism to precisely identify exposure-compromised regions, ensuring its adaptability across various real-world conditions. U-EGformer, with a lightweight design featuring a memory footprint (peak memory) of only ∼1134 MB (0.1 Million parameters) and an inference time of 95 ms (over 9x faster than typical existing implementations, is a viable choice for real-time applications such as surveillance and autonomous navigation. Additionally, our model is highly generalizable, requiring minimal fine-tuning to handle multiple tasks and datasets with a single architecture. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： image enhancement

来源：评论

学校读者我要写书评

暂无评论

SPT: Sequence Prompt Transformer for Interactive image Segmentation

SPT: Sequence Prompt Transformer for Interactive Image Segme...

引用

2025 IEEE International conference on Acoustics, Speech, and Signal processing, ICASSP 2025

作者： Cheng, Senlin Sun, Haopeng Xie, Tao Zhao, Hangyue Chen, Yiqiang Xu, Bolei Li, XiaoBo Ant Group Hangzhou China BAIDU Beijing China Beiiing Key Laboratory of Mobile Computing and Pervasive Device Institute of Computing Technology Chinese Academy of Sciences Beijing China University of Chinese Academy of Sciences Beijing China

ISBN: (纸本)9798350368741

Interactive segmentation aims to extract objects of interest from an image based on user-provided clicks. In real-world applications, there is often a need to segment a series of images featuring the same target object. However, existing methods typically process one image at a time, failing to consider the sequential nature of the images. To overcome this limitation, we propose a novel method called Sequence Prompt Transformer (SPT), the first to utilize sequential image information for interactive segmentation. Our model comprises two key components: (1) Sequence Prompt Transformer (SPT) for acquiring information from sequence of images, clicks and masks to improve accurate. (2) Top-k Prompt Selection (TPS) selects precise prompts for SPT to further enhance the segmentation effect. Additionally, we create the ADE20KSeq benchmark to better evaluate model performance. We evaluate our approach on multiple benchmark datasets and show that our model surpasses state-of-the-art methods across all datasets. © 2025 IEEE.

关键词： computer vision interactive image segmentation

来源：评论

学校读者我要写书评

暂无评论

PhysID: Physics-based Interactive Dynamics from a Single-view image

PhysID: Physics-based Interactive Dynamics from a Single-vie...

引用

2025 IEEE International conference on Acoustics, Speech, and Signal processing, ICASSP 2025

作者： Gothe, Sourabh Vasant Chattopadhyay, Ayon Kiran, Gunturi Venkata Sai Phani Pratik Agarwal, Vibhav Vachhani, Jayesh Rajkumar Ghosh, Sourav Parameswaranath, V.M. Barath Raj, K.R. Samsung R&D Institute India - Bangalore India

ISBN: (纸本)9798350368741

Transforming static images into interactive experiences remains a challenging task in computer vision. Tackling this challenge holds the potential to elevate mobile user experiences, notably through interactive and AR/VR applications. Current approaches aim to achieve this either using pre-recorded video responses or requiring multi-view images as input. In this paper, we present PhysID, that streamlines the creation of physics-based interactive dynamics from a single-view image by leveraging large generative models for 3D mesh generation and physical property prediction. This significantly reduces the expertise required for engineering-intensive tasks like 3D modeling and intrinsic property calibration, enabling the process to be scaled with minimal manual intervention. We integrate an on-device physics-based engine for physically plausible real-time rendering with user interactions. PhysID represents a leap forward in mobile-based interactive dynamics, offering real-time, non-deterministic interactions and user-personalization with efficient on-device memory consumption. Experiments evaluate the zero-shot capabilities of various Multimodal Large Language Models (MLLMs) on diverse tasks and the performance of 3D reconstruction models. These results demonstrate the cohesive functioning of all modules within the end-to-end framework, contributing to its effectiveness. © 2025 IEEE.

关键词： 3D Modelling Diffusion Multimodal Large Language Models Physics-Based Rendering

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500页 << < 1 2 3 4 5 6 7 8 9 10 > >>

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：