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
56 册 图书
4 篇 学位论文
1 篇 科技报告

馆藏范围

1,015 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

616 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
- 43 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
314 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、...
- 16 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

976 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 1015 条记录，以下是801-810 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：

Machine Dating of Handwritten Manuscripts

Machine Dating of Handwritten Manuscripts

引用

International Conference on Document Analysis and recognition

作者： U. Garain S. Parui T. Paquet L. Heutte Computer Vision & Pattern Recognition Unit Indian Statistical Institute Kolkata India Laboratoire LITIS EA 4051 UFR des Sciences Université de Rouen Saint Etienne du Rouvray France

This paper presents a pioneering study on automatic dating of handwritten manuscripts. Analysis of handwriting style forms the core of the dating method. Initially, it is hypothesized that a manuscript can be dated, to a certain level of accuracy, by looking at the way it is written. The hypothesis is then verified with real samples of known dates. A general framework is proposed for machine dating of handwritten manuscripts. Experiments on a database containing manuscripts of Gustave Flaubert (1821- 1880), the famous French novelist reports about 62% accuracy when manuscripts are dated within a range of five calendar years with respect to their exact year of writing.

关键词： Testing Humans Calendars computer vision pattern recognition Databases Writing Watermarking Error analysis Libraries

来源：评论

学校读者我要写书评

暂无评论

Detecting Object Boundaries Using Low-, Mid-, and High-level Information

Detecting Object Boundaries Using Low-, Mid-, and High-level...

引用

Conference on computer vision and pattern recognition (CVPR)

作者： Songfeng Zheng Zhuowen Tu Alan L. Yuille Dept. of Statistics UCLA USA Lab of Neuro Imaging UCLA

Object boundary detection and segmentation is a central problem in computer vision. The importance of combining low-level, mid-level, and high-level cues has been realized in recent literature. However, it is unclear how to efficiently and effectively engage and fuse different levels of information. In this paper, we emphasize a learning based approach to explore different levels of information, both implicitly and explicitly. First, we learn low-level cues for object boundaries and interior regions using a probabilistic boosting tree (PBT). Second, we learn short and long range context information based on the results from the first stage. Both stages implicitly contain object-specific information such as texture and local geometry, and it is shown that this implicit knowledge is extremely powerful. Third, we use high-level shape information explicitly to further refine the object segmentation and to parse the object into components. The algorithm is trained and tested on a challenging dataset of horses [2], and the results obtained are very encouraging compared with other approaches. In detailed experiments we show significantly better performance (e.g. F-values of 0.75 compared to 0.66) than the best comparable reported performance on this dataset. Furthermore, the system only needs 1.5 minutes for a typical image. Although our system is illustrated on horse images, the approach can be directly applied to detecting/segmenting other types of objects.

关键词： Object detection Horses computer vision Fuses Boosting Information geometry Shape Object segmentation Testing Image segmentation

来源：评论

学校读者我要写书评

暂无评论

Irregular behavior recognition based on treading track

Irregular behavior recognition based on treading track

引用

International Conference on Wavelet Analysis and pattern recognition (ICWAPR)

作者： Ye Zhang Zhi-Jing Liu School of computer science and technology Xidian University China

Visual analysis of human motion from video sequences is one of the most active research topics in the field of computer vision. This research has certain practical value and can be widely applied in some places such as: bank^ prison > courtroom, large public facility > large storehouse and military base .In this paper we present a novel method for judging irregular behavior based on treading track. First we use the background subtraction method to detect moving body, and then we judge whether someone is suspicious or not on the basis of treading track. The experimental result has shown the method present in this paper having the superiority of simple algorithm, fast recognition speed and high accuracy rate. Meanwhile, this method has certain robustness.

关键词： Object detection Motion detection Motion analysis Tracking Humans pattern analysis pattern recognition Image analysis Image sequence analysis Video sequences

来源：评论

学校读者我要写书评

暂无评论

New Robust Matching Cost Functions for Stereo vision

New Robust Matching Cost Functions for Stereo Vision

引用

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

作者： Edwin D. El-Mahassni ISR Division Defence Science and Technology Organisation Edinburgh SA Australia

ISBN: (纸本)9781424431618;9780769530673

An important first step in calculating a disparity map for two stereoscopic images is the estimation of an initial match score. This paper presents two new match score functions, which although constructed from older cost functions perform better across the different lighting conditions listed here, than their predecessors. Error measurements and disparity maps for indoor and outdoor imagery are also presented.

关键词： Robustness Cost function Stereo vision Pixel Layout Surveillance Digital images computer applications computer vision Australia

来源：评论

学校读者我要写书评

暂无评论

Priority-Based Path Growing for Linear Feature Detection

Priority-Based Path Growing for Linear Feature Detection

引用

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

作者： Changming Sun Pascal Vallotton CSIRO Mathematical and Information Sciences NSW Australia

ISBN: (纸本)9781424431618;9780769530673

Linear feature detection is a very important step in image analysis, computer vision, and pattern recognition. It has a wide range of applications. In this paper, we present a new algorithm for linear feature detection using priority- based path growing from automatically selected seeds. The use of path growing in the neighbourhood of automatically selected seeds ensures that all local information along a linear feature is taken into account. This enables tracing of weakly contrasted linear features in an image. We illustrate our method with examples.

关键词： computer vision Image edge detection Nonlinear filters Matched filters Fault detection Costs Application software Sun Image segmentation Detectors

来源：评论

学校读者我要写书评

暂无评论

Two thresholds are better than one

Two thresholds are better than one

引用

Conference on computer vision and pattern recognition (CVPR)

作者： Tao Zhang Terrance E. Boult R.C. Johnson Vision And Security Technology Laboratory University of Colorado Colorado Springs CO USA

The concept of the Bayesian optimal single threshold is a well established and widely used classification technique. In this paper, we prove that when spatial cohesion is assumed for targets, a better classification result than the "optimal" single threshold classification can be achieved. Under the assumption of spatial cohesion and certain prior knowledge about the target and background, the method can be further simplified as dual threshold classification. In core-dual threshold classification, spatial cohesion within the target core allows "continuation" linking values to fall between the two thresholds to the target core; classical Bayesian classification is employed beyond the dual thresholds. The core-dual threshold algorithm can be built into a Markov random field model (MRF). From this MRF model, the dual thresholds can be obtained and optimal classification can be achieved. In some practical applications, a simple method called symmetric subtraction may be employed to determine effective dual thresholds in real time. Given dual thresholds, the quasi-connected component algorithm is shown to be a deterministic implementation of the MRF core-dual threshold model combining the dual thresholds, extended neighborhoods and efficient connected component computation.

关键词： Bayesian methods Solids Probability distribution Security Springs Joining processes Markov random fields Image segmentation Video surveillance Biomedical imaging

来源：评论

学校读者我要写书评

暂无评论

Inferring 3D Volumetric Shape of Both Moving Objects and Static Background Observed by a Moving Camera

Inferring 3D Volumetric Shape of Both Moving Objects and Sta...

引用

Conference on computer vision and pattern recognition (CVPR)

作者： Chang Yuan Gerard Medioni Institute of Robotics and Intelligent Systems University of Southern California Los Angeles CA USA

We present a novel approach to inferring 3D volumetric shape of both moving objects and static background from video sequences shot by a moving camera, with the assumption that the objects move rigidly on a ground plane. The 3D scene is divided into a set of volume elements, termed as voxels, organized in an adaptive octree structure. Each voxel is assigned a label at each time instant, either as empty, or belonging to background structure, or a moving object. The task of shape inference is then formulated as assigning each voxel a dynamic label which minimizes photo and motion variance between voxels and the original sequence. We propose a three-step voxel labeling method based on a robust photo-motion variance measure. First, a sparse set of surface points are utilized to initialize a subset of voxels. Then, a deterministic voxel coloring scheme carves away the voxels with large variance. Finally, the labeling results are refined by a graph cuts based optimization method to enforce global smoothness. Experimental results on both indoor and outdoor sequences demonstrate the effectiveness and robustness of our method.

关键词： Shape Layout Video sequences Labeling Robot vision systems Smart cameras Intelligent robots Robustness Image generation Surface reconstruction

来源：评论

学校读者我要写书评

暂无评论

Fast extraction of multi-resolution Gabor features

Fast extraction of multi-resolution Gabor features

引用

International Conference on Image Analysis and Processing

作者： Jarmo Ilonen Joni-Kristian Kamarainen Heikki Kalviainen Machine Vision and Pattern Recognition Research Group Lappeenranta University of Technology Finland Centre for Vision Speech and Signal Processing University of Surrey UK

Gabor filter responses are general purpose features for computer vision and image processing and have been very successful in many application areas, for example in bio- metric authentication (fingerprint matching, face detection, face recognition and iris recognition). In a typical feature construction, filters are utilised as a multi-resolution structure of several filters tuned to different frequencies and orientations. The multi-resolution structure is similar to wavelets, but the non-orthogonality of Gabor functions implies the main weakness: computational heaviness. The high computational complexity prevents their use in many real-time or near real-time tasks. In this study, an efficient sequential computation method for multi-resolution Gabor features is presented.

关键词： Gabor filters computer vision Image processing Application software Authentication Fingerprint recognition Face detection Face recognition Iris recognition Frequency

来源：评论

学校读者我要写书评

暂无评论

Scene Segmentation and Categorization Using NCuts

Scene Segmentation and Categorization Using NCuts

引用

Conference on computer vision and pattern recognition (CVPR)

作者： Yanjun Zhao Tao Wang Peng Wang Wei Hu Yangzhou Du Yimin Zhang Guangyou Xu Department CS. & Technology Tsinghua University Beijing China Intel China Research Center Limited Beijing China

For video summarization and retrieval, one of the important modules is to group temporal-spatial coherent shots into high-level semantic video clips namely scene segmentation. In this paper, we propose a novel scene segmentation and categorization approach using normalized graph cuts(NCuts). Starting from a set of shots, we first calculate shot similarity from shot key frames. Then by modeling scene segmentation as a graph partition problem where each node is a shot and the weight of edge represents the similarity between two shots, we employ NCuts to find the optimal scene segmentation and automatically decide the optimum scene number by Q function. To discover more useful information from scenes, we analyze the temporal layout patterns of shots, and automatically categorize scenes into two different types, i.e. parallel event scenes and serial event scenes. Extensive experiments are tested on movie, and TV series. The promising results demonstrate that the proposed NCuts based scene segmentation and categorization methods are effective in practice.

关键词： Layout Information analysis pattern analysis Motion pictures Partitioning algorithms Clustering algorithms Hidden Markov models Event detection Testing TV

来源：评论

学校读者我要写书评

暂无评论

Robust Click-Point Linking: Matching Visually Dissimilar Local Regions

Robust Click-Point Linking: Matching Visually Dissimilar Loc...

引用

Conference on computer vision and pattern recognition (CVPR)

作者： Kazunori Okada Xiaolei Huang Department of Computer Science San Francisco State University San Francisco CA USA Department of Computer Science and Engineering Lehigh University Bethlehem PA USA

This paper presents robust click-point linking: a novel localized registration framework that allows users to interactively prescribe where the accuracy has to be high. By emphasizing locality and interactivity, our solution is faithful to how the registration results are used in practice. Given a user-specified point, the click-point linking provides a single point-wise correspondence between a data pair. In order to link visually dissimilar local regions, a correspondence is sought by using only geometrical context without comparing the local appearances. Our solution is formulated as a maximum likelihood estimation (MLE) without estimating a domain transformation explicitly. A spatial likelihood of Gaussian mixture form is designed to capture geometrical configurations between the point-of-interest and a hierarchy of global-to-local 3D landmarks that are detected using machine learning and entropy based feature detectors. A closed-form formula is derived to specify each Gaussian component by exploiting geometric in-variances under specific group of domain transformation via RANSAC-like random sampling. A mean shift algorithm is applied to robustly and efficiently solve the local MLE problem, replacing the standard consensus step of the RANSAC. Two transformation groups of pure translation and scaling/translation are considered in this paper. We test feasibility of the proposed approach with 16 pairs of whole-body CT data, demonstrating the effectiveness.

关键词： Robustness Joining processes Maximum likelihood estimation Machine learning Entropy computer vision Detectors Sampling methods Machine learning algorithms Testing

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 << < 77 78 79 80 81 82 83 84 85 86 > >>

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：