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

457 篇 会议
6 篇 期刊文献
4 册 图书

馆藏范围

467 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

73 篇 工学
- 65 篇 计算机科学与技术...
- 43 篇 软件工程
- 18 篇 光学工程
- 12 篇 控制科学与工程
- 9 篇 信息与通信工程
- 4 篇 化学工程与技术
- 3 篇 生物医学工程（可授...
- 2 篇 机械工程
- 2 篇 电气工程
- 2 篇 电子科学与技术（可...
- 1 篇 生物工程
31 篇 理学
- 18 篇 物理学
- 15 篇 数学
- 7 篇 统计学（可授理学、...
- 3 篇 系统科学
- 2 篇 化学
- 2 篇 生物学
7 篇 管理学
- 7 篇 图书情报与档案管...
2 篇 医学
- 2 篇 基础医学(可授医学...
- 2 篇 临床医学
- 2 篇 药学(可授医学、理...

主题

219 篇 computer vision
95 篇 pattern recognit...
83 篇 conferences
79 篇 cameras
66 篇 computer science
59 篇 humans
57 篇 layout
56 篇 robustness
54 篇 image segmentati...
50 篇 shape
39 篇 application soft...
35 篇 face recognition
34 篇 object detection
34 篇 pixel
31 篇 face detection
26 篇 lighting
25 篇 bayesian methods
24 篇 training
23 篇 testing
22 篇 tracking

机构

5 篇 institute for ro...
4 篇 department of co...
4 篇 computer vision ...
4 篇 department of co...
3 篇 school of comput...
3 篇 computer vision ...
3 篇 department of co...
3 篇 computer laborat...
3 篇 department of el...
3 篇 microsoft resear...
3 篇 department of co...
3 篇 chinese acad sci...
3 篇 carnegie mellon ...
3 篇 department of co...
3 篇 computer science...
3 篇 computer vision ...
3 篇 research and dev...
3 篇 department of co...
3 篇 rensselaer polyt...
2 篇 department of co...

作者

11 篇 timofte radu
6 篇 l. van gool
5 篇 g. medioni
4 篇 zhigang zhu
4 篇 m. turk
4 篇 b.s. manjunath
4 篇 jiebo luo
4 篇 j.w. davis
4 篇 d. metaxas
3 篇 vasluianu florin...
3 篇 rafael e. rivade...
3 篇 fan haoqiang
3 篇 busch christoph
3 篇 angel d. sappa
3 篇 r. pless
3 篇 hao tang
3 篇 c. vogler
3 篇 rivadeneira rafa...
3 篇 zhang zhao
3 篇 liu shuaicheng

语言

467 篇 英文

检索条件"任意字段=Conference on Computer Vision and Pattern Recognition Workshop, CVPRW 2003"

共 467 条记录，以下是101-110 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：

Robust Boundary DetectionWith Adaptive Grouping

Robust Boundary DetectionWith Adaptive Grouping

引用

IEEE computer Society conference on computer vision and pattern recognition workshops (cvprw)

作者： F.J. Estrada A.D. Jepson Centre for Vision Research York University Toronto ONT Canada Department of Comp. Science University of Toronto Toronto ONT Canada

This paper presents a perceptual grouping algorithm that performs boundary extraction on natural images. Our grouping method maintains and updates a model of the appearance of the image regions on either side of a growing contour. This model is used to change grouping behaviour at run-time, so that, in addition to following the traditional Gestalt grouping principles of proximity and good continuation, the grouping procedure favours the path that best separates two visually distinct parts of the image. The resulting algorithm is computationally efficient and robust to clutter and texture. We present experimental results on natural images from the Berkeley Segmentation Database and compare our results to those obtained with three alternate grouping methods.

关键词： Robustness Change detection algorithms Runtime Image segmentation Image databases Visual databases Humans Data mining Parallel processing Educational institutions

来源：评论

学校读者我要写书评

暂无评论

Moving Object Localization in Thermal Imagery by Forward-backward MHI

Moving Object Localization in Thermal Imagery by Forward-bac...

引用

IEEE computer Society conference on computer vision and pattern recognition workshops (cvprw)

作者： Zhaozheng Yin R. Collins Department of Computer Science and Engineering Pennsylvania State University University Park PA USA

Detecting moving objects automatically is a key component of an automatic visual surveillance and tracking system. In airborne thermal video, the moving objects may be small, color information is not available, and even intensity appearance may be camouflaged. Previous motionbased moving object detection approaches often use background subtraction, inter-frame difference or three-frame difference. In this paper, we describe a detection and localization method based on forward-backward motion history images (MHI). This method can accurately detect location and shape of moving objects for initializing a tracker. Using long and varied video sequences, we quantify the effectiveness of this method.

关键词： Object detection Shape Motion detection Cameras Surveillance Image reconstruction Thermal engineering computer science History Video sequences

来源：评论

学校读者我要写书评

暂无评论

Ensemble Method for Robust Motion Estimation

Ensemble Method for Robust Motion Estimation

引用

IEEE computer Society conference on computer vision and pattern recognition workshops (cvprw)

作者： Wei Zhang J. Kosecka George Mason University Fairfax VA USA

The core of the traditional RANSAC algorithm and its more recent efficient counterparts is the hypothesis evaluation stage, with the focus on finding the best, outlier free hypothesis. Motivated by a non-parametric ensemble techniques, we demonstrate that it proves advantageous to use the entire set of hypotheses generated in the sampling stage. We show that by studying the residual distribution of each data point with respect to the entire set of hypotheses, the problem of inlier/ outlier identification can be formulated as a classification problem. We present extensive simulations of the approach, which in the presence of a large percentage (> 50%) of outliers, provides a repeatable and, an order of magnitude more efficient method compared to the currently existing techniques. Results on widebaseline matching and fundamental matrix estimation are presented.

关键词： Robustness Motion estimation Sampling methods computer vision Testing Parameter estimation Context modeling Maximum likelihood estimation Iterative algorithms Iterative methods

来源：评论

学校读者我要写书评

暂无评论

Performance Evaluation of vision-Based High DOF Human Movement Tracking: A Survey And Human computer Interaction Perspective

Performance Evaluation of Vision-Based High DOF Human Moveme...

引用

IEEE computer Society conference on computer vision and pattern recognition workshops (cvprw)

作者： D. Heckenberg School of Computer Science and Engineering University of New South Wales Australia

Accurate tracking of human movement has the potential to enable many kinds of human-computer interaction (HCI). vision-based methods promise tracking without encumberance by body-mounted apparatus but constitute a significant research challenge. Its many applications both in HCI and other areas such as surveillance have made markerless human tracking a central problem in computer vision. Despite this research focus, there are few established mechanisms for evaluating and comparing the performance of reported solutions. Furthermore, very few systems have attempted human-centered evaluation using methods from HCI research. This paper presents a review of evaluation methods employed in the literature of high degree of freedom human movement tracking systems. Detailed full-body tracking and hand tracking systems are included. Suitable evaluation methods employed in other computer vision and HCI research are also considered.

关键词： Tracking Human computer interaction computer vision Application software Surveillance Real time systems Optical sensors Feedback computer science Australia

来源：评论

学校读者我要写书评

暂无评论

An adaptive clustering for multiple object tracking in sequences in and beyond the visible spectrum

An adaptive clustering for multiple object tracking in seque...

引用

IEEE computer Society conference on computer vision and pattern recognition workshops (cvprw)

作者： S. Dubuisson Laboratoire dInformatique de Paris LIP6 UPMC Paris France

In this paper, we propose a method to track multiple deformable objects in sequences (with a static camera) in and beyond the visible spectrum by combining Gabor filtering and clustering. In a first step, a set of Gabor filter banks is used to filter the difference image between two consecutive frames. Then, the moving areas are sampled by randomly positioning particles in high magnitude area of the filtered image. Finally, these points are clustered to obtain one class for each moving object. The novelty in our method is in using cluster information from the previous frame to classify new particles in the current frame. This makes our method robust to occlusions, objects entering and leaving the field of view, objects stopping and starting, and moving objects getting really close to each other.

关键词： Gabor filters Filter bank Target tracking Solid modeling Filtering computer vision Feature extraction Cameras Adaptive filters Robustness

来源：评论

学校读者我要写书评

暂无评论

Person Verification by Lip-Motion

Person Verification by Lip-Motion

引用

IEEE computer Society conference on computer vision and pattern recognition workshops (cvprw)

作者： M.I. Faraj J. Bigun School of Information Science Computer and Electrical Engineering (IDE) Halmstad University Halmstad Sweden

This paper describes a new motion based feature extraction technique for speaker recognition using orientation estimation in 2D manifolds. The motion is estimated by computing the components of the structure tensor from which normal flows are extracted. By projecting the 3D spatiotemporal data to 2-D planes we obtain projection coefficients which we use to evaluate the 3-D orientations of brightness patterns in TV like 2D image sequences. This corresponds to the solutions of simple matrix eigenvalue problems in 2D, affording increased computational efficiency. An implementation based on joint lip movements and speech is presented along with experiments which confirm the theory, exhibiting a recognition rate of 98% on the publicly available XM2VTS database.

关键词： Motion estimation Feature extraction Speaker recognition Tensile stress Data mining Spatiotemporal phenomena Two dimensional displays Brightness TV Image sequences

来源：评论

学校读者我要写书评

暂无评论

Multi-Scale Contour Extraction Based on Natural Image Statistics

Multi-Scale Contour Extraction Based on Natural Image Statis...

引用

IEEE computer Society conference on computer vision and pattern recognition workshops (cvprw)

作者： F.J. Estrada J.H. Elder Centre for Vision Research York University Toronto ONT Canada

Perceptual grouping of the complete boundaries of objects in natural images remains an unsolved problem in computer vision. The computational complexity of the problem and difficulties capturing global constraints limit the performance of current algorithms. In this paper we develop a coarse-to-fine Bayesian algorithm which addresses these constraints. Candidate contours are extracted at a coarse scale and then used to generate spatial priors on the location of possible contours at finer scales. In this way, a rough estimate of the shape of an object is progressively refined. The coarse estimate provides robustness to texture and clutter while the refinement process allows for the extraction of detailed object contours. The grouping algorithm is probabilistic and uses multiple grouping cues derived from natural scene statistics. We present a quantitative evaluation of grouping performance on the Berkeley Segmentation Database, and show that the multi-scale approach outperforms several single-scale contour extraction algorithms.

关键词： Statistics Shape Layout computer vision Image segmentation Image databases Computational complexity Bayesian methods Robustness Data mining

来源：评论

学校读者我要写书评

暂无评论

Discriminative Patch Selection using Combinatorial and Statistical Models for Patch-Based Object recognition

Discriminative Patch Selection using Combinatorial and Stati...

引用

IEEE computer Society conference on computer vision and pattern recognition workshops (cvprw)

作者： A. Vashist Zhipeng Zhao A. Elgammal I. Muchnik C. Kulikowski Department of Computer Science State University of New Jersey Rutgers Piscataway NJ USA

In an object recognition task where an image is represented as a constellation of image patches, often many patches correspond to the cluttered background. If such patches are used for object class recognition, they will adversely affect the recognition rate. In this paper, we present a two stage method for selecting image patches which characterize the target object class and are capable of discriminating between the positive images containing the target objects and the complementary negative images. The first stage selection is done using a novel combinatorial optimization formulation on a weighted multipartite graph representing similarities between images patches across different instances of the target object. The following stage is a statistical method for selecting those images patches from the positive images which, when used individually, have the power of discriminating between the positive and negative images in the evaluation data. The individual methods have a performance competitive with the state of the art methods on a popular benchmark data set and their sequential combination consistently outperforms the individual methods and most of the other known methods while approaching the best known results.

关键词： Object recognition Solid modeling Feature extraction Object detection computer vision Image recognition Face detection pattern recognition computer science Statistical analysis

来源：评论

学校读者我要写书评

暂无评论

Multispectral Iris Analysis: A Preliminary Study51

Multispectral Iris Analysis: A Preliminary Study51

引用

IEEE computer Society conference on computer vision and pattern recognition workshops (cvprw)

作者： C. Boyce A. Ross M. Monaco L. Hornak Xin Li Lane Department of Computer Science and Electrical Engineering West Virginia University Morgantown WV USA

This paper explores the possibility of using multispectral iris information to enhance the recognition performance of an iris biometric system. Commercial iris recognition systems typically sense the iridal reflection pertaining to the near-infrared (IR) range of the electromagnetic spectrum. This work examines the iris information represented in the visible and IR portion of the spectrum. It is hypothesized that, based on the color of the eye, different components of the iris are highlighted at multiple wavelengths. To this end, an acquisition procedure for obtaining co-registered multispectral iris images associated with the IR, Red, Green and Blue wavelengths of the electromagnetic spectrum, is first discussed. The components of the iris that are revealed in multiple spectral channels/wavelengths based on the color of the eye are studied. An adaptive histogram equalization scheme is invoked to enhance the iris structure. The performance of iris recognition across multiple wavelengths is next evaluated. Experiments indicate the potential of using multispectral information to enhance the performance of iris recognition systems.

关键词： Pigmentation Anatomy Muscles Connective tissue Reflectivity Focusing Iris recognition pattern analysis computer science USA Councils

来源：评论

学校读者我要写书评

暂无评论

Gabor Filter Analysis for Texture Segmentation

Gabor Filter Analysis for Texture Segmentation

引用

IEEE computer Society conference on computer vision and pattern recognition workshops (cvprw)

作者： R. Sandler M. Lindenbaum Computer Science Department Technion-Israel Institute of Technology Haifa Israel

Gabor features are a common choice for texture analysis. The particular set of Gabor filters used for extracting the features is usually designed for optimal signal representation. We propose here an alternative criterion for designing the filter set. We consider a set of filters and its response to pairs of harmonic signals. Two signals are considered separable if the corresponding two sets of vector responses are disjoint in at least one of the components. We look for the set of Gabor filters that maximizes the fraction of separable harmonic signal pairs. The resulting filters are significantly different from the traditional ones. We test these maximal harmonic discrimination (MHD) filters using two texture discrimination methods, and describe their advantages over traditional filters.

关键词： Gabor filters Power harmonic filters Image segmentation Signal design Distortion measurement Signal analysis Stability Harmonic analysis computer science Feature extraction

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47页 << < 7 8 9 10 11 12 13 14 15 16 > >>

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：