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

802 篇 会议
152 篇 期刊文献
57 册 图书
4 篇 学位论文
1 篇 科技报告

馆藏范围

1,016 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

617 篇 工学
- 411 篇 计算机科学与技术...
- 237 篇 软件工程
- 143 篇 电气工程
- 89 篇 测绘科学与技术
- 77 篇 光学工程
- 68 篇 控制科学与工程
- 52 篇 信息与通信工程
- 44 篇 机械工程
- 44 篇 仪器科学与技术
- 28 篇 电子科学与技术（可...
- 18 篇 生物医学工程（可授...
- 14 篇 生物工程
- 8 篇 化学工程与技术
- 6 篇 建筑学
- 5 篇 交通运输工程
- 5 篇 航空宇航科学与技...
- 4 篇 安全科学与工程
315 篇 理学
- 163 篇 物理学
- 96 篇 数学
- 92 篇 生物学
- 32 篇 统计学（可授理学、...
- 17 篇 系统科学
- 7 篇 化学
- 5 篇 地球物理学
187 篇 医学
- 183 篇 临床医学
- 8 篇 基础医学(可授医学...
- 6 篇 特种医学
73 篇 管理学
- 44 篇 管理科学与工程(可...
- 29 篇 图书情报与档案管...
30 篇 艺术学
- 29 篇 设计学（可授艺术学...
5 篇 农学
3 篇 教育学
2 篇 法学

主题

384 篇 computer vision
251 篇 pattern recognit...
81 篇 layout
71 篇 cameras
67 篇 object detection
67 篇 image segmentati...
67 篇 robustness
59 篇 image processing
58 篇 shape
57 篇 humans
55 篇 object recogniti...
49 篇 face recognition
49 篇 feature extracti...
44 篇 application soft...
43 篇 machine vision
41 篇 computer science
41 篇 stereo vision
38 篇 artificial intel...
38 篇 image processing...
35 篇 face detection

机构

15 篇 huazhong univ sc...
13 篇 chinese acad sci...
9 篇 national laborat...
9 篇 institute for pa...
7 篇 computer vision ...
6 篇 microsoft resear...
6 篇 national laborat...
6 篇 institute for co...
4 篇 robotics institu...
4 篇 huazhong univ sc...
4 篇 huazhong univ sc...
4 篇 univ technol syd...
4 篇 wuhan univ state...
4 篇 institute for co...
4 篇 computer vision ...
3 篇 national lab. of...
3 篇 lund university
3 篇 univ chinese aca...
3 篇 univ technol syd...
3 篇 faculty of infor...

作者

18 篇 tan tieniu
16 篇 tao dacheng
15 篇 sang nong
12 篇 huang kaiqi
11 篇 tieniu tan
9 篇 zhang tianxu
9 篇 tian jinwen
8 篇 cao zhiguo
8 篇 zhu song-chun
8 篇 he xiangjian
7 篇 kaiqi huang
7 篇 li dehua
7 篇 wu qiang
6 篇 ding mingyue
6 篇 horst bischof
5 篇 cordelia schmid
5 篇 sun zhenan
5 篇 li xuelong
5 篇 u. pal
5 篇 mubarak shah

语言

977 篇 英文
30 篇 中文
10 篇 其他

检索条件"任意字段=MIPPR 2007: Pattern Recognition and Computer Vision"

共 1016 条记录，以下是831-840 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：

Expanding the usage of the star sensor in spacecraft

Expanding the usage of the star sensor in spacecraft

引用

2nd International Conference on Space Information Technology

作者： Zhang Hua Sang Hongshi Shen Xubang Huazhong Univ Sci & Technol Inst Pattern Recognit & AI Wuhan 430074 Peoples R China Xian Microelect Technol Inst Xian 710054 Peoples R China

ISBN: (纸本)9780819469601

Star sensors and computer vision systems are generally used for spacecraft navigation in deep space, both of which make use of image sensors. To mitigate the payload of the spacecraft, a new star sensor prototype with extending use as a rendezvous and docking positioning system is described in this paper. An adaptive processing element is used to control the process of image acquiring, image pre-processing and image recognition, which makes the sharing of the image sensor feasible. The software is discussed about how to realize the two applications. The earth based experiments verify the feasibility and validity of the design, which may make a little contribution on the deep space explorations.

关键词： deep space exploration navigation attitude determination rendezvous and docking star sensor image processing

来源：评论

学校读者我要写书评

暂无评论

Robust Histogram-Based Object Tracking in Image Sequences

Robust Histogram-Based Object Tracking in Image Sequences

引用

Proceedings of the Digital Image Computing: Technqiues and Applications (DICTA)

作者： An Zhao HxI Initiative NICTA Eveleigh NSW Australia

ISBN: (纸本)9781424431618;9780769530673

Object tracking is an important aspect of computer vision which has attracted considerable attention recently. In this paper, we first introduce our framework for object tracking. Then, a new mathematical model for tracking performance analysis is presented. In addition, five matrix filters are designed and adopted to realize robust and efficient object tracking. Finally, an approach for combining histograms with different feature spaces into one histogram is given. According to our extensive experimental results, we found that our approaches greatly improve the visual tracking results.

关键词： Robustness Image sequences Histograms Target tracking computer vision Australia Layout Application software Performance analysis Filters

来源：评论

学校读者我要写书评

暂无评论

A High-Performance Image Matching and recognition System for Multimedia Applications

A High-Performance Image Matching and Recognition System for...

引用

IEEE International Conference on Multimedia and Expo (ICME)

作者： Suya You Ulrich Neumann Integrated Media Systems Center Computer Science Department University of Southern California USA

This paper presents a high-performance image matching and recognition system for rapid and robust detection, matching and recognition of scene imagery and objects in varied backgrounds. Advanced image processing and pattern recognition technologies provide the system with object distinctiveness, robustness to occlusions, and invariance to scale and geometric distortions. Extensive experiments and several commercial applications have demonstrated the system's value and utility for multimedia applications.

关键词： Image matching Image recognition Multimedia systems Robustness Multimedia databases Image databases Layout Image retrieval computer vision Pixel

来源：评论

学校读者我要写书评

暂无评论

Variable Width Elliptic Gaussian Kernels for Probability Density Estimation

Variable Width Elliptic Gaussian Kernels for Probability Den...

引用

International Conference on Telecommunications in Modern Satellite, Cable and Broadcasting Service (TELSIKS)

作者： Dragoljub Pokrajac Longin Jan Latecki Aleksandar Lazarevic Jelena Nikolic Computer and Information Science Department Applied Mathematics Research Center and Center for Research and Education in Optical Sciences and Applications (CREOSA) Delaware State University Dover DE USA CIS Department Temple University Philadelphia PA USA CREOSA and United Technologies Research Center Hartford CT USA Faculty of Electronic Engineering University of Nis Nis Serbia

Estimation of probability density functions based on available data is important problem arising in various fields, such as telecommunications, machine learning, data mining, pattern recognition and computer vision. In this paper, we consider Kernel-based non-parametric density estimation methods and derive formulae for variable kernel density estimation using generalized, elliptic Gaussian kernels. The proposed technique is verified on simulated data.

关键词： Kernel Probability density function Machine learning Data mining pattern recognition computer vision Eigenvalues and eigenfunctions Random variables State estimation Optical computing

来源：评论

学校读者我要写书评

暂无评论

Pose Estimation Based on Two Images from Different Views

Pose Estimation Based on Two Images from Different Views

引用

IEEE Workshop on Applications of computer vision (WACV)

作者： Yuxing Mao Ching Y. Suen Caixin Sun Chunhua Feng The Key Laboratory of High Voltage Engineering & Electrical New Technology Ministry of Education Electrical Engineering College of Chongqing University Chongqing China Centre for Pattern Recognition and Machine Intelligence (CENPARMI) Concordia University Montreal QUE Canada

In this paper, we propose a new approach for face pose estimation based on two images from different views under certain conditions. Using a weak-perspective imaging model, six pose parameters were deduced, with four pairs of feature points properly chosen across the two face images. Through the scan-iteration algorithm, a robust performance was achieved, without solving non-linear equations. Comparing to some other methods which estimate rotation matrix based on fundamental matrix (F), our method focuses on the "absolute pose" with respect to front view rather than the "relative pose" between the two face images. "Absolute pose" is indispensable in most situations especially for 3D face modeling. Since our method does not depend on any 3D face models and frontal-view images, it can be applied not only to face recognition and 3D face modeling, but also to other relevant applications. Experimental results demonstrate the efficiency of our method

关键词： Face detection Head Video sequences Humans Robustness Face recognition Principal component analysis Feature extraction Application software pattern recognition

来源：评论

学校读者我要写书评

暂无评论

Handwritten Bangla Compound Character recognition Using Gradient Feature

Handwritten Bangla Compound Character Recognition Using Grad...

引用

International Conference on Information Technology (ICIT)

作者： U. Pal T. Wakabayashi F. Kimura Computer Vision and Pattern Recognition Unit Indian Statistical Institute Kolkata India Graduate School of Engineering Mie University Tsu Mie Japan

recognition of handwritten characters of Indian script is difficult because of the presence of many complex shaped compound characters (cluster characters) as well as variability involved in the writing style of different individuals. This paper deals with recognition of off-line Bangla handwritten compound characters using modified quadratic discriminant function (MQDF). The features used for recognition purpose are mainly based on directional information obtained from the arc tangent of the gradient. To get the feature, at first, a 2 times 2 mean filtering is applied 4 times on the gray level image and a non-linear size normalization is done on the image. A Roberts filter is then applied on the normalized image to obtain gradient image. Next, the arc tangent of the gradient (direction of gradient) is initially quantized into 32 directions and the strength of the gradient is accumulated with each of the quantized direction. Finally, the frequencies of these directions are down sampled using Gaussian filter to get 392 dimensional feature vectors. Using 5-fold cross validation technique we obtained 85.90% accuracy from a dataset of Bangla compound characters containing 20,543 samples.

关键词： Character recognition Handwriting recognition Filters pattern recognition Filtering Automation Information technology computer vision Writing Frequency

来源：评论

学校读者我要写书评

暂无评论

Handwritten Numeral recognition of Six Popular Indian Scripts

Handwritten Numeral Recognition of Six Popular Indian Script...

引用

International Conference on Document Analysis and recognition

作者： U. Pal N. Sharma T. Wakabayashi F. Kimura Computer Vision and Pattern Recognition Unit Indian Statistical Institute Kolkata India Graduate School of Engineering Mie University Tsu Japan

ISBN: (纸本)9780769528229;0769528228

India is a multi-lingual multi-script country but there is not much work towards handwritten character recognition of Indian languages. In this paper we propose a modified quadratic classifier based scheme towards the recognition of off-line handwritten numerals of six popular Indian scripts. Here we consider Devnagari, Bangla, Telugu, Oriya, Kannada and Tamil scripts for our experiment. The features used in the classifier are obtained from the directional information of the numerals. For feature computation, the bounding box of a numeral is segmented into blocks and the directional features are computed in each of the blocks. These blocks are then down sampled by a Gaussian filter and the features obtained from the down sampled blocks are fed to a modified quadratic classifier for recognition. Here we have used two sets of feature. We have used 64 dimensional features for high-speed recognition and 400 dimensional features for high-accuracy recognition in our proposed system. A five-fold cross validation technique has been used for result computation and we obtained 99.56%, 98.99%, 99.37%, 98.40%, 98.71% and 98.51% accuracy from Devnagari, Bangla, Telugu, Oriya, Kannada, and Tamil scripts, respectively.

关键词： Handwriting recognition Natural languages Character recognition Automation pattern recognition Filters Sorting computer vision Feature extraction Writing

来源：评论

学校读者我要写书评

暂无评论

Features selection of cotton disease leaves image based on fuzzy feature selection techniques

Features selection of cotton disease leaves image based on f...

引用

International Conference on Wavelet Analysis and pattern recognition (ICWAPR)

作者： Yan-Cheng Zhang Han-Ping Mao Bo Hu Ming-Xi Li Jiangsu Provincial Key Laboratory of modern Agricultural Equipment and technology Jiangsu University Zhenjiang China College of Engineering and Technology Yunnan Agricultural University Kunming China Department of Electronic Information & Control Engineering Guangxi University of Technology Liuzhou China Huangshi Institute of Technology Huangshi China

In the research of identifying and diagnosing cotton disease using computer vision intellectively in the agriculture, feature selection is a key question in pattern recognition and affects the design and performance of the classifier. In this paper, the fuzzy feature selection approach - fuzzy curves (FC) and surfaces (FS) - is proposed to select features of cotton disease leaves image. In order to get best information for diagnosing and identifying, a subset of independent significant features is identified exploiting the fuzzy feature selection approach. Firstly, utilize FC to automatically and quickly isolate a small set of significant features from the set of original features according to their significance and eliminate spurious features; then, use FS to get rid of the features dependent on the significant features. This approach reduces the dimensionality of the feature space so that lead to a simplified classification scheme appropriate for practical classification applications. The results show that the effectiveness of features selected by the FC and FS method is much better than that selected by human randomly or other methods.

关键词： Cotton Diseases pattern recognition Crops Surface morphology Machine vision Fuzzy sets Wavelet analysis pattern analysis

来源：评论

学校读者我要写书评

暂无评论

Two-dimensional shape recognition with Cosine Transform-Based Synthesized Affine Invariant Function

Two-dimensional shape recognition with Cosine Transform-Base...

引用

IEEE International Conference on Systems, Man and Cybernetics

作者： Chun-Hsiung Fang Wei-Song Lin Department of Electrical Engineering National Taiwan University Taipei Taiwan

Two dimensional shape recognition needs to remove the effect of geometric transformations from the contour pattern. This is usually obtained by transforming the contour pattern into an affine invariant form. In this paper, the cosine transform is used to decompose the contour pattern of the object shape into a set of synthesized feature signals (SFS). Then the SFSs are used to evaluate the cosine transform based synthesized affine invariant function (CSAIF) for the shape recognition. The information loss of representing the contour pattern with the CSAIF is minimized by simply neglecting the translation component. This assures high accuracy in recognizing the object shape by discriminating its CSAIF from others. Experiments examine the performance and robustness of the CSAIF based shape recognition and the results are compared with that of using the Fourier affine invariant function.

关键词： Shape Signal synthesis Robustness pattern recognition Object recognition Cameras Wavelet transforms computer vision

来源：评论

学校读者我要写书评

暂无评论

vision based gesture recognition for human-robot symbiosis

Vision based gesture recognition for human-robot symbiosis

引用

International Conference on computer and Information Technology (ICCIT)

作者： Md. Al-Amin Bhuiyan Md. Ezharul Islam Nasima Begum Md. Hasanuzzaman Chang Hong Liu Haruki Ueno Jahangirnagar University Dhaka Bangladesh University of Dhaka Dhaka Bangladesh University of Hull Hull UK National Institute of Information and Communications Technology Tokyo Japan National Institute of Informatics Tokyo Japan

This paper presents a vision based gesture recognition system for human-robot symbiosis. The system is based on the visual information of the face and is commenced with the recognition of face gesture by connected component analysis of the skin color segmentation of images in HSV color model and neural network based pattern-matching strategies. On gesture recognition, robot is being instructed to perform certain tasks by issuing commands. The system is capable of recognizing static gestures comprised of the face poses, and dynamic gestures of face in motion. The effectiveness of the system has been justified over some experiments. The system has been demonstrated with an entertainment robot named ldquoAIBOrdquo as a human-robot symbiotic relationship.

关键词：

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102页 << < 80 81 82 83 84 85 86 87 88 89 > >>

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：