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

1,343 篇 会议
46 册 图书
18 篇 期刊文献

馆藏范围

1,407 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

1,046 篇 工学
- 738 篇 计算机科学与技术...
- 388 篇 软件工程
- 236 篇 电气工程
- 209 篇 信息与通信工程
- 191 篇 光学工程
- 127 篇 机械工程
- 109 篇 生物工程
- 96 篇 生物医学工程（可授...
- 89 篇 控制科学与工程
- 58 篇 电子科学与技术（可...
- 40 篇 化学工程与技术
- 28 篇 仪器科学与技术
- 23 篇 安全科学与工程
- 21 篇 交通运输工程
- 16 篇 材料科学与工程（可...
- 16 篇 土木工程
- 14 篇 建筑学
399 篇 理学
- 218 篇 物理学
- 155 篇 数学
- 119 篇 生物学
- 46 篇 统计学（可授理学、...
- 37 篇 化学
- 27 篇 系统科学
135 篇 医学
- 131 篇 临床医学
- 47 篇 基础医学(可授医学...
- 41 篇 药学(可授医学、理...
101 篇 管理学
- 56 篇 图书情报与档案管...
- 47 篇 管理科学与工程(可...
- 19 篇 工商管理
17 篇 农学
- 16 篇 作物学
11 篇 法学
6 篇 教育学
5 篇 经济学
4 篇 文学
1 篇 艺术学

主题

257 篇 computer vision
125 篇 image processing
122 篇 image segmentati...
93 篇 feature extracti...
83 篇 cameras
61 篇 image color anal...
41 篇 image edge detec...
41 篇 training
39 篇 deep learning
35 篇 three-dimensiona...
33 篇 image enhancemen...
32 篇 image reconstruc...
31 篇 images
29 篇 artificial intel...
28 篇 robustness
27 篇 object detection
27 篇 machine learning
25 篇 neural networks
24 篇 computational mo...
24 篇 pattern recognit...

机构

20 篇 computer vision ...
5 篇 indian statistic...
5 篇 indian institute...
5 篇 indian institute...
5 篇 department of co...
5 篇 computer vision ...
4 篇 techno india uni...
4 篇 department of co...
4 篇 jadavpur univers...
4 篇 department of ma...
4 篇 department of co...
4 篇 department of co...
4 篇 department of co...
3 篇 kentucky imaging...
3 篇 icteam universit...
3 篇 hong kong polyte...
3 篇 department of el...
3 篇 department of ma...
3 篇 indian institute...
3 篇 department of el...

作者

17 篇 raman balasubram...
11 篇 aly a. farag
9 篇 roy partha prati...
8 篇 balasubramanian ...
8 篇 a.a. farag
7 篇 dubey shiv ram
6 篇 arivazhagan s.
6 篇 shekar b.h.
6 篇 mishra deepak
5 篇 bhuyan m.k.
5 篇 lee hyo jong
5 篇 murala subrahman...
5 篇 chaudhuri bidyut...
5 篇 dorit merhof
5 篇 kumar sanjeev
5 篇 nain neeta
5 篇 jawahar c.v.
4 篇 asem ali
4 篇 nagabhushan p.
4 篇 ojha aparajita

语言

1,393 篇 英文
10 篇 中文
3 篇 俄文
2 篇 其他

检索条件"任意字段=International Conference on Computer Vision and Image Processing, CVIP 2016"

共 1407 条记录，以下是1151-1160 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：

A Surveillance System Based on Motion Detection and Motion Estimation using Optical Flow

A Surveillance System Based on Motion Detection and Motion E...

引用

international conference on Informatics, Electronics and vision

作者： Muhammad Kamal Hossen Sabrina Hoque Tuli Department of Computer Science and Engineering Chittagong University of Engineering and Technology Chittagong-4349 Chittagong Bangladesh

ISBN: (纸本)9781509012701

In today's world Surveillance system is playing an important role in the field of security. Moving object detection has been widely used in video surveillance system. As well as motion estimation is an important part of surveillance video processing such as video filtering and compression from video frames. This paper proposes a simple and efficient surveillance system based on motion detection with motion vector estimation from surveillance video frames. Motion is detected with a new approach-edge region determination which makes detection faster. The surveillance video is then processed for motion estimation using optical flow with Horn-Schunck algorithm for estimating motion vector for its reasonable performance and simplicity. This method is computationally faster without requiring any special hardware for image processing. So it can be more applicable to embedded systems.

关键词： Motion detection Video surveillance Motion estimation Optical flow

来源：评论

学校读者我要写书评

暂无评论

ACCELERATE CONVOLUTIONAL NEURAL NETWORKS FOR BINARY CLASSIFICATION VIA CASCADING COST-SENSITIVE FEATURE

ACCELERATE CONVOLUTIONAL NEURAL NETWORKS FOR BINARY CLASSIFI...

引用

IEEE international conference on image processing

作者： Junbiao Pang Huihuang Lin Li Su Chunjie Zhang Weigang Zhang Lijuan Duan Qingming Huang Baocai Yin Beijing Key Laboratory of Multimedia and Intelligent Software Technology China School of Computer and Control Engineering University of Chinese Academy of Sciences China School of Computer Science and Technology Harbin Institute of Technology at Weihai China College of Computer Science and Technology Beijing University of Technology China

ISBN: (纸本)9781467399623

Convolutional Neural Networks (CNNs) have delivered impressive state-of-the-art performances for many vision tasks, while the computation costs of these networks during test-time are notorious. Empirical results have discovered that CNNs have learned the redundant representations both within and across different layers. When CNNs are applied for binary classification, we investigate a method to exploit this redundancy across layers, and construct a cascade of classifiers which explicitly balances classification accuracy and hierarchical feature extraction costs. Our method cost-sensitively selects feature points across several layers from trained networks and embeds non-expensive yet discriminative features into a cascade. Experiments on binary classification demonstrate that our framework leads to drastic test-time improvements, e.g., possible 47.2× speedup for TRECVID upper body detection, 2.82× speedup for Pascal VOC2007 People detection, 3.72× for INRIA Person detection with less than 0.5% drop in accuracies of the original networks.

关键词： Neural networks Convolution Acceleration Optimization Upper bound computers computer science

来源：评论

学校读者我要写书评

暂无评论

V-Net: Fully Convolutional Neural Networks for Volumetric Medical image Segmentation

V-Net: Fully Convolutional Neural Networks for Volumetric Me...

引用

international conference on 3D Imaging, Modeling, processing, Visualization and Transmission (3DIMPVT)

作者： Fausto Milletari Nassir Navab Seyed-Ahmad Ahmadi Technical University of Munich Munich Ludwig-Maximilians-Universität München Munich

ISBN: (纸本)9781509054084

Convolutional Neural Networks (CNNs) have been recently employed to solve problems from both the computer vision and medical image analysis fields. Despite their popularity, most approaches are only able to process 2D images while most medical data used in clinical practice consists of 3D volumes. In this work we propose an approach to 3D image segmentation based on a volumetric, fully convolutional, neural network. Our CNN is trained end-to-end on MRI volumes depicting prostate, and learns to predict segmentation for the whole volume at once. We introduce a novel objective function, that we optimise during training, based on Dice coefficient. In this way we can deal with situations where there is a strong imbalance between the number of foreground and background voxels. To cope with the limited number of annotated volumes available for training, we augment the data applying random non-linear transformations and histogram matching. We show in our experimental evaluation that our approach achieves good performances on challenging test data while requiring only a fraction of the processing time needed by other previous methods.

关键词： image segmentation Feature extraction Biomedical imaging Three-dimensional displays Neural networks Magnetic resonance imaging Two dimensional displays

来源：评论

学校读者我要写书评

暂无评论

3D Face Reconstruction by Learning from Synthetic Data

3D Face Reconstruction by Learning from Synthetic Data

引用

international conference on 3D Imaging, Modeling, processing, Visualization and Transmission (3DIMPVT)

作者： Elad Richardson Matan Sela Ron Kimmel Technion - Israel Institute of Technology

ISBN: (纸本)9781509054084

Fast and robust three-dimensional reconstruction of facial geometric structure from a single image is a challenging task with numerous applications. Here, we introduce a learning-based approach for reconstructing a three-dimensional face from a single image. Recent face recovery methods rely on accurate localization of key characteristic points. In contrast, the proposed approach is based on a Convolutional-Neural-Network (CNN) which extracts the face geometry directly from its image. Although such deep architectures outperform other models in complex computer vision problems, training them properly requires a large dataset of annotated examples. In the case of three-dimensional faces, currently, there are no large volume data sets, while acquiring such big-data is a tedious task. As an alternative, we propose to generate random, yet nearly photo-realistic, facial images for which the geometric form is known. The suggested model successfully recovers facial shapes from real images, even for faces with extreme expressions and under various lighting conditions.

关键词： Face Geometry image reconstruction Three-dimensional displays Lighting Training Shape

来源：评论

学校读者我要写书评

暂无评论

FAST KEYPOINT DETECTION IN VIDEO SEQUENCES

FAST KEYPOINT DETECTION IN VIDEO SEQUENCES

引用

IEEE international conference on Acoustics, Speech and Signal processing

作者： Luca Baroffio Matteo Cesana Alessandro Redondi Marco Tagliasacchi Stefano Tubaro Dipartimento di Elettronica Informazione e Bioingegneria Politécnico di Milano

ISBN: (纸本)9781479999897

Several computer vision tasks exploit a succinct representation of the visual content in the form of sets of local features. Given an input image, feature extraction algorithms identify keypoints and assign to each of them a descriptor, based on the characteristics of the surrounding visual content. Several tasks might require local features to be extracted from a video sequence, on a frame-by-frame basis. Although temporal downsampling has been proven to be an effective solution for mobile augmented reality and visual search, high temporal resolution is a key requirement for time-critical applications such as object tracking, event recognition, pedestrian detection, surveillance. In recent years, more and more computationally efficient visual feature detectors and descriptors have been proposed. Nonetheless, such approaches are tailored to still images. In this paper we propose a fastkeypoint detection algorithm for video sequences, that exploits the temporal coherence of the sequence of keypoints. According to the proposed method, each frame is preprocessed so as to identify the parts of the input frame for which keypoint detection and description need to be performed. Our experiments show that it is possible to achieve a reduction in computational time of up to 40%, without significantly affecting the task accuracy.

关键词： Local features keypoint detection video Videotapes local image feature Video sequences Descriptors Still images temporal coherence augmented reality Visualization computational time images computer vision

来源：评论

学校读者我要写书评

暂无评论

Multi-label active learning for image classification with asymmetrical conditional dependence

Multi-label active learning for image classification with as...

引用

IEEE international conference on Multimedia and Expo (ICME)

作者： Jian Wu Shiquan Zhao Victor S. Sheng Pengpeng Zhao Zhiming Cui The Institute of Intelligent Information Processing and Application Soochow University Suzhou China Department of Computer Science University of Central Arkansas Conway USA

ISBN: (纸本)9781467372596

image classification is a hot topic of pattern recognition in computer vision. In order to achieve high accuracy of classification, a certain amount of high quality pictures are needed. As a matter of fact, high quality pictures are scarce. Active learning can solve such a problem. Label dependences play an important role in multi-label active learning for image classification. The interdependences between different labels are usually different and asymmetrical. This paper first brings the asymmetrical conditional label dependences into a novel active learning method for multi-label image classification based on the asymmetrical conditional label dependence, called ACDAL. Our extensive experimental results on three image and two non-image datasets show that our new approach ACDAL significantly outperforms existing approaches.

关键词： image classification Uncertainty Learning systems Correlation Labeling Mathematical model Entropy

来源：评论

学校读者我要写书评

暂无评论

Identification and control of hydraulic system using visual feedback

Identification and control of hydraulic system using visual ...

引用

international conference on Emerging eLearning Technologies and Applications (ICETA)

作者： Pavol Bisták Slovak University of Technology in Bratislava Slovakia

ISBN: (纸本)9781509047024

This paper presents identification and control of a nonlinear hydraulic system based on visual feedback provided by a simple camera and computer vision methods that result in an ability to measure the height of levels of liquid in a three-tank system. Visual measurement channel is realized using a Web camera from which the picture is exported to Matlab and using image processing Toolbox functions the height of the levels is evaluated. Such a visual feedback has been first applied for an identification of the three-tank system and later to prove the real time implementation it has been successfully used for different control methods with the real hydraulic system. The results have been compared with traditional hydrostatic pressure sensors and the question of noise related with appropriate lightening has been discussed in details.

关键词： Visualization Cameras Liquids image processing Sensors Valves

来源：评论

学校读者我要写书评

暂无评论

CELL PROPOSAL NETWORK FOR MICROSCOPY image ANALYSIS

CELL PROPOSAL NETWORK FOR MICROSCOPY IMAGE ANALYSIS

引用

IEEE international conference on image processing

作者： Saad Ullah Akram Juho Kannala Lauri Eklund Janne Heikkila Center for Machine Vision Research University of Oulu Finland Department of Computer Science Aalto University Finland Biocenter Oulu University of Oulu Finland

ISBN: (纸本)9781467399623

Robust cell detection plays a key role in the development of reliable methods for automated analysis of microscopy images. It is a challenging problem due to low contrast, variable fluorescence, weak boundaries, conjoined and overlapping cells, causing most cell detection methods to fail in difficult situations. One approach for overcoming these challenges is to use cell proposals, which enable the use of more advanced features from ambiguous regions and/or information from adjacent frames to make better decisions. However, most current methods rely on simple proposal generation and scoring methods, which limits the performance they can reach. In this paper, we propose a convolutional neural network based method which generates cell proposals to facilitate cell detection, segmentation and tracking. We compare our method against commonly used proposal generation and scoring methods and show that our method generates significantly better proposals, and achieves higher final recall and average precision.

关键词： Proposals Shape Feature extraction image segmentation Microscopy Training image analysis

来源：评论

学校读者我要写书评

暂无评论

Efficient uncalibrated rectification method for stereo vision systems

Efficient uncalibrated rectification method for stereo visio...

引用

international conference on Mixed Design of Integrated Circuits and Systems (MIXDES)

作者： Piotr Perek Dariusz Makowski Andrzej Napieralski Department of Microelectronics and Computer Science Lodz University of Technology Lodz Poland Department of Microelectronics and Computer Science Lodz University of Technology Poland

ISBN: (纸本)9781509030996

Along with the rapid development of stereoscopic cinematography in the last few years, efficient 3D video diagnostic tools are increasingly in demand. The tools dedicated for real-time video analysis and assessment directly on the movie set are aimed at facilitation, acceleration and cost-cutting of movie production. It causes the growing interest in development of high-performance and reliable algorithms for stereoscopic video processing. One of the algorithms strictly related to 3D video processing is image rectification. It is aimed at transformation of the stereopair images in such a way that epipolar lines are horizontal and match up between views. The rectification is often a required preprocessing step for depth estimation algorithms because it simplifies searching for matching points in stereo images. The paper presents an overview and comparison of image rectification methods for the application in real-time diagnostic tools for stereoscopic cinematography. It also describes the implementation and evaluation of the rectification algorithm based on [1] that has been finally selected for the needs of diagnostic tool for stereo rig calibration and disparity map estimation developed by the authors. Described algorithm ensures very accurate image alignment and minimization of vertical disparity for the needs of disparity map calculation. Moreover, it is resistant to lens distortions in input image and does not introduce significant distortions in output image preserving the original viewpoint of the cameras.

关键词： Motion pictures Stereo image processing Cameras Three-dimensional displays Distortion image processing Libraries

来源：评论

学校读者我要写书评

暂无评论

COMPARATIVE ANALYSIS OF HOMOLOGOUS BUILDINGS USING RANGE IMAGING

COMPARATIVE ANALYSIS OF HOMOLOGOUS BUILDINGS USING RANGE IMA...

引用

IEEE international conference on image processing

作者： Li Ding Ahmed Elliethy Eitan Freedenberg S. Alana Wolf-Johnson Joshua Romphf Peter Christensen Gaurav Sharma Dept. of Electrical and Computer Engineering University of Rochester Graduate Program in Visual and Cultural Studies University of Rochester River Campus Libraries University of Rochester Dept. of Art and Art History University of Rochester

ISBN: (纸本)9781467399623

This paper reports on a novel application of computer vision and image processing technologies to an interdisciplinary project in architectural history that seeks to help identify and visualize differences between homologous buildings constructed to a common template design. By identifying the mutations in homologous buildings, we assist humanists in giving voice to the contributions of the myriad additional "authors" for these buildings beyond their primary designers. We develop a framework for comparing 3D point cloud representations of homologous buildings captured using lidar: focusing on identifying similarities and differences, both among 3D scans of different buildings and between the 3D scans and the design specifications of architectural drawings. The framework addresses global and local alignment for highlighting gross differences as well as differences in individual structural elements and provides methods for readily highlighting the differences via suitable visualizations. The framework is demonstrated on pairs of homologous buildings selected from the Canadian and Ottoman rail networks. Results demonstrate the utility of the framework confirming differences already apparent to the humanist researchers and also revealing new differences that were not previously observed.

关键词： Architectural biometrics Building difference visualization Point cloud comparison Range imaging Visual big data analytics

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141页 << < 112 113 114 115 116 117 118 119 120 121 > >>

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：