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
126 篇 期刊文献
57 册 图书
3 篇 学位论文

馆藏范围

988 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

592 篇 工学
- 400 篇 计算机科学与技术...
- 233 篇 软件工程
- 131 篇 电气工程
- 88 篇 测绘科学与技术
- 72 篇 光学工程
- 67 篇 控制科学与工程
- 51 篇 信息与通信工程
- 44 篇 机械工程
- 43 篇 仪器科学与技术
- 17 篇 生物医学工程（可授...
- 16 篇 电子科学与技术（可...
- 13 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
307 篇 理学
- 156 篇 物理学
- 93 篇 数学
- 91 篇 生物学
- 30 篇 统计学（可授理学、...
- 16 篇 系统科学
- 7 篇 化学
- 5 篇 地球物理学
167 篇 医学
- 165 篇 临床医学
- 5 篇 基础医学(可授医学...
- 5 篇 特种医学
71 篇 管理学
- 44 篇 管理科学与工程(可...
- 27 篇 图书情报与档案管...
31 篇 艺术学
- 30 篇 设计学（可授艺术学...
3 篇 农学
2 篇 法学
2 篇 教育学

主题

358 篇 computer vision
235 篇 pattern recognit...
81 篇 layout
71 篇 cameras
67 篇 object detection
67 篇 image segmentati...
67 篇 robustness
58 篇 shape
56 篇 humans
56 篇 object recogniti...
51 篇 feature extracti...
50 篇 face recognition
44 篇 application soft...
43 篇 machine vision
41 篇 computer science
41 篇 image processing
41 篇 stereo vision
38 篇 image recognitio...
38 篇 image processing...
36 篇 computer graphic...

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 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...
3 篇 chinese acad sci...

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

951 篇 英文
29 篇 中文
9 篇 其他

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

共 988 条记录，以下是851-860 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 Discriminative Framework for Object recognition

A Discriminative Framework for Object Recognition

引用

International Conference on Mechatronics (ICM)

作者： Hongwei Li Jian Cheng Hanqing Lu National Laboratory Pattern Recognition Institute of Automation Chinese Academy and Sciences Beijing China

In this paper, we present a discriminative approach to learn and recognize the object classes from unsegmented cluttered scenes in a scale invariant manner. A multiscale algorithm for the selection of salient regions of an image is used to select keypoints and their scale in the image. The PCA-SIFT method is used to describe these keypoints in a compact form. For each object class the probability of local features is modeled by a conditional random fields (CRF). In the learning stage, the parameters of CRF are estimated from feature vectors given the labels in a maximum likelihood framework. In the recognition stage, we take the label for the image to the most likely class under the CRF models. This method achieves good classification results on motorbikes and airplanes database.

关键词： Object recognition Detectors Entropy computer vision pattern recognition Layout Maximum likelihood estimation Mechatronics Automation Image recognition

来源：评论

学校读者我要写书评

暂无评论

A System for Off-Line Oriya Handwritten Character recognition Using Curvature Feature

A System for Off-Line Oriya Handwritten Character Recognitio...

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

In this paper we present a system towards the recognition of off-line Oriya handwritten characters. Since most of the Oriya characters have curve-like stroke, we use curvature feature for the recognition purpose. To get the feature, at first, the input image is size normalized and segmented into 49times49 blocks. Curvature is then computed using bi-quadratic interpolation method and quantized into 3 levels according to concave, linear and convex regions. Next direction of gradient is quantized into 32 levels with pi/16 intervals, and strength of the gradient is accumulated in each of the 32 directions and in each of the 3 curvature levels of every block. A spatial resolution is made to get 7times7 blocks from 49times49 blocks and a directional resolution is made to get 8 directions from 32 directions. Using curvature features for 3 levels we get 1176 (7times7 blocks times 8 directions times 3 levels) dimensional features. Finally using principal component analysis we reduce the dimension 1176 to 392 and this 392 dimensional feature vector is fed to a quadratic classifier for recognition. We tested 18190 samples of Oriya handwritten samples and obtained 94.60% accuracy from our proposed system.

关键词： Character recognition Shape Handwriting recognition computer vision Spatial resolution Speech recognition Information technology pattern recognition Image segmentation Interpolation

来源：评论

学校读者我要写书评

暂无评论

Object Extraction by Spatio-Temporal Assembling

Object Extraction by Spatio-Temporal Assembling

引用

IEEE International Conference on Image Processing

作者： Xiaoke Qin Liang Tang Jie Zhou China Hewlett Packard Laboratories China

Among various algorithms for vision-based traffic monitoring, spatio-temporal (ST) slice analysis is attractive by computing over a larger temporal scale. However, it is unsuitable for further pattern recognition, since the conventional ST slice cannot preserve the spatial relationship of the original object image. In this paper, we propose a novel algorithm for accurate traffic object extraction. Compared with previous ST algorithms depending on one line per frame, we assemble the object based on foreground strips obtained from each frame and carefully designed motion estimation. Thus, both the spatial and temporal information is used more effectively. Applications in real canal traffic scenes show the advantages of our algorithm.

关键词： Assembly Algorithm design and analysis Monitoring computer vision pattern recognition Data mining Strips Motion estimation Irrigation Layout

来源：评论

学校读者我要写书评

暂无评论

Rotation Invariant Shape Contexts based on Feature-space Fourier Transformation

Rotation Invariant Shape Contexts based on Feature-space Fou...

引用

International Conference on Image and Graphics (ICIG)

作者： Su Yang Yuanyuan Wang Department of Computer Science and Engineering Fudan University Shanghai China Department of Electronic Engineering Fudan University Shanghai China

We propose a new pixel-level shape descriptor. First, shape contexts are computed. Then, 2D FFT is performed on each 2D histogram from shape contexts. Such a scheme solves the rotation-invariance problem of shape contexts based on the shift theorem of Fourier transformation while does not increase the computational complexity. Theoretical proof and experimental validation are provided.

关键词： Shape Computational complexity Robustness Histograms pattern matching computer vision pattern recognition computer graphics computer science Pixel

来源：评论

学校读者我要写书评

暂无评论

Dynamical vision 2007

引用

丛书名： Lecture Notes in computer Science

2007年

作者： Rene Vidal Anders Heyden Yi Ma

ISBN: (数字)9783540709329

ISBN: (纸本)9783540709312

This book constitutes the thoroughly refereed joint post-proceedings of the first two International Workshops on Dynamical vision, WDV 2005 and WDV 2006 held in Beijing, China in October 2005 within the scope of ICCV 2005 and in Graz, Austria in May 2006 in the course of ECCV 2006. The 24 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers address a wide range of theoretical and application issues in dynamical vision and are organized in topical sections on motion segmentation and estimation, human motion analysis, dynamic textures, motion tracking, rigid and non-rigid motion analysis, as well as motion filtering and vision-based control.

关键词： computer vision Congresses. Biometric identification Congresses. Human behavior Observations Data processing Congresses. pattern recognition systems Congresses. Image analysis Congresses.

来源：评论

学校读者我要写书评

暂无评论

Motion Analysis of Endovascular Stent-Grafts by MDL Based Registration

Motion Analysis of Endovascular Stent-Grafts by MDL Based Re...

引用

International Conference on computer vision (ICCV)

作者： Georg Langs Nikos Paragios Rene Donner Pascal Desgranges Alain Rahmouni Hicham Kobeiter GALEN Group Laboratoire de Mathématiques Appliquées aux Systàmes Ecole Centrale de Paris France Institute for Computer Graphics and Vision Graz University of Technology Austria Pattern Recognition and Image Processing Group University of Technology Vienna Austria University of Paris XII Paris France

The endovascular repair of a traumatic rupture of the thoracic aorta - that would otherwise lead to the death of the patient - is performed by delivering a stent-graft into the vessel at the rupture location. The age range of the affected patients is large and the stent-graft will stay in the body for the remaining life. The technique is relatively new, and no experience with regard to long-term effects, and durability exists. To predict long-term complications, such as ruptures or destructive interactions with surrounding tissue during the life of the patient, it is important to understand the - rather intense and constant - movement of the stent- graft during the cardiac cycle. A computed tomography with heart gating (gated CT) acquires sequences that show the region of the stent-graft at different time points. We analyze the motion of stent-grafts with a model based approach. Stent-grafts are represented as sparse sets of axis points extracted from the gated CT, and motion patterns are captured by a minimum description length based group-wise registration of the stent-graft at different time points. No parameterization or a priori definition of the topology is necessary, and highly variable elasticity properties in the data volume can by accounted for by the sparse statistical model, that captures correlations and motion components of the stent-graft. We report results for deformation models and registration accuracy for 5 patients.

关键词： Motion analysis Computed tomography Biomedical imaging Heart Buildings computer graphics pattern recognition Image processing Hospitals Data mining

来源：评论

学校读者我要写书评

暂无评论

An Experimental Evaluation of Local Features for Pedestrian Classification

An Experimental Evaluation of Local Features for Pedestrian ...

引用

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

作者： Sakrapee Paisitkriangkrai Chunhua Shen Jian Zhang University of New South Wales Australia NICTA Australia Australian National University Australia

ISBN: (纸本)9781424431618

The ability to detect pedestrians is a first important step in many computer vision applications such as video surveillance. This paper presents an experimental study on pedestrian detection using state-of-the-art local feature extraction and support vector machine (SVM) classifiers. The performance of pedestrian detection using region covariance, histogram of oriented gradients (HOG) and local receptive fields (LRF) feature descriptors is experimentally evaluated. The experiments are performed on both the benchmarking dataset used in [1] and the MIT CBCL dataset. Both can be publicly accessed. The experimental results show that region covariance features with radial basis function (RBF) kernel SVM and HOG features with quadratic kernel SVM outperform the combination of LRF features with quadratic kernel SVM reported in [1].

关键词： Support vector machines Support vector machine classification computer vision Feature extraction Humans Application software Histograms Kernel Face detection Principal component analysis

来源：评论

学校读者我要写书评

暂无评论

An Approach to Edge Detection on a Virtual Hexagonal Structure

An Approach to Edge Detection on a Virtual Hexagonal Structu...

引用

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

作者： Xiangjian He Wenjing Jia Jianmin Li Qiang Wu Tom Hintz Faculty of Information Technology University of Technology Sydney Australia School of Computer and Mathematics Fuzhou University Fujian China

ISBN: (纸本)9781424431618;9780769530673

Hexagonal structure is another image structure alternative to traditional square image structure for image processing and computer vision. The geometrical arrangement of pixels on a hexagonal structure can be described as a collection of hexagonal pixels. Because all the existing hardware for capturing image and for displaying image are produced based on square structure, it becomes important to find a proper software approach to mimic hexagonal structure so that images represented on the traditional square structure can be smoothly converted from or to the images on hexagonal structure. For accurate image processing, it is critical to best maintain the image resolution during the image conversion. In this paper, a bilinear interpolation algorithm that is used to convert an image from square structure to hexagonal structure is presented. Based on this, an edge detection method is proposed. Our experimental results show that the bilinear interpolation improves the edge detection accuracy.

关键词： Image edge detection computer vision Image processing Interpolation Hardware Image converters Computational modeling Digital images Image resolution Image storage

来源：评论

学校读者我要写书评

暂无评论

ROI progressive image transmission based on wavelet transform and human visual specialties

ROI progressive image transmission based on wavelet transfor...

引用

International Conference on Wavelet Analysis and pattern recognition (ICWAPR)

作者： Ji-Ming Zheng Da-Wei Zhou Jin-Ling Geng College of Computer Science and Technology Chongqing University of Posts and Telecommunications Chongqing China

Based on the properties of integer wavelet transform and multiresolution analysis and combined with human visual specialties, an improved region of interest (ROI) progressive image transmission algorithm is proposed. With no impact on the subjective quality of ROI image, in the first instance, the coefficients in the ROI and the important wavelet coefficients for human vision are transmitted. Moreover, to indicate the relative importance of the BG with respect to the ROI, an expansion factor S for background (BG) image transmission and its formula is presented. Depending on the factor, the transmission of BG image can be controlled at different bit rates, so that the users can achieve the image with better subjective quality. Meanwhile, the algorithm could improve the visual quality of image and enhance the efficiency of the image transmission. The experimental results prove that the proposed algorithm is effective and the expansion factor could control the image transmission.

关键词： Image communication Wavelet transforms Humans Wavelet analysis Multiresolution analysis Image coding Image analysis pattern analysis pattern recognition Internet

来源：评论

学校读者我要写书评

暂无评论

2DCCA: A Novel Method for Small Sample Size Face recognition

2DCCA: A Novel Method for Small Sample Size Face Recognition

引用

IEEE Workshop on Applications of computer vision (WACV)

作者： Cai-rong Zou Ning Sun Zhen-hai Ji Li Zhao Foshan University Foshan China Department of Radio Engineering South-East University Nanjing China

In the traditional canonical correlation analysis (CCA) based face recognition methods, the size of sample is always smaller than the dimension of sample. This problem is so called the small sample size (SSS) problem. In order to solve this problem, a new supervised learning method called two-dimensional CCA (2DCCA) is developed in this paper. Different from traditional CCA method, 2DCCA directly extracts the features from image matrix rather than matrix-to-vector transformation. In practice, the covariance matrix extracted by 2DCCA is always full rank. Hence the small sample size (SSS) problem can be effectively dealt with by this new developed method. The theory foundation of 2DCCA method is firstly developed, and the construction method for the class-membership matrix Y which is used to precisely represent the relationship between samples and classes in the 2DCCA framework is then clarified. Simultaneously, the analytic form of the generalized inverse of such class-membership matrix is derived. From our experiment results on face recognition, we clearly find that not only the SSS problem can be effectively solved, but also better recognition performance than several other CCA based methods has been achieved

关键词： Face recognition Covariance matrix Feature extraction Multidimensional systems Principal component analysis Sun Supervised learning Multidimensional signal processing Biomedical imaging pattern recognition

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99页 << < 82 83 84 85 86 87 88 89 90 91 > >>

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：