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...
- 238 篇 软件工程
- 142 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
- 29 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

386 篇 computer vision
249 篇 pattern recognit...
80 篇 layout
70 篇 cameras
67 篇 image segmentati...
67 篇 robustness
66 篇 object detection
60 篇 image processing
58 篇 shape
57 篇 humans
54 篇 object recogniti...
49 篇 feature extracti...
48 篇 face recognition
44 篇 application soft...
43 篇 machine vision
41 篇 stereo vision
39 篇 computer science
39 篇 artificial intel...
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 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
11 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611-620 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：

Image threshold using A-IFSs based on bounded histograms

Image threshold using A-IFSs based on bounded histograms

引用

12th World Congress of the International-Fuzzy-Systems-Association

作者： Couto, Pedro Bustince, Humberto Filipe, Vitor Barrenechea, Edurne Pagola, Miguel Melo-Pinto, Pedro Univ Tras Os Montes & Alto Douro CETAV Ap 1014 P-5001911 Vila Real Portugal Univ Publica Navarra Dept Automat & Computac Pamplona 31006 Spain

ISBN: (纸本)9783540729174

Atanassov's intuitionistic fuzzy sets (A-IFSs) have been used recently to determine the optimal threshold value for gray-level image segmentation [1]. Atanassov's intuitionistic fuzzy index values are used for representing the unknowledge/ignorance of an expert on determining whether a pixel of the image belongs to the background or the object of the image. This optimal global threshold of the image is computed automatically, regardless of the actual image analysis process. Although global optimal thresholding techniques give good results under experimental conditions, when dealing with real images having several objects and the segmentation purpose is to point out some application-specific information, one should use heuristic techniques in order to obtain better thresholding results. This paper introduces an evolution of the above mentioned technique intended for use with such images. The proposed approach takes into account the image and segmentation specificities by using a two-step procedure, with a restricted set of the image gray-levels. Preliminary experimental results and comparison with other methods are presented.

关键词： fuzzy sets theory applications atanassov's intuitionistic fuzzy sets (A-IFSs) computer vision pattern recognition digital image processing

来源：评论

学校读者我要写书评

暂无评论

Artificial Complex Cells via the Tropical Semiring

Artificial Complex Cells via the Tropical Semiring

引用

Conference on computer vision and pattern recognition (CVPR)

作者： Lior Wolf Moshe Guttmann School of Computer Science Tel-Aviv University Israel

The seminal work of Hubel and Wiesel (1965) and the vast amount of work that followed it prove that hierarchies of increasingly complex cells play a central role in cortical computations. Computational models, pioneered by Fukushima (1980), suggest that these hierarchies contain feature-building cells ("S-cells") and pooling cells ("C-cells"). More recently, Riesenhuber & Poggio have developed the HMAX model (1999), in which S-cells perform linear combinations, while C-cells perform a MAX operation. We note that methods for computing the connectivity of S-cells abound since many algorithms for suggesting informative linear combinations exist. There are, however, only few published methods that are suitable for the construction of C-cells. Here, we build a novel dimensionality reduction algorithm for learning the connectivity of C-cells, using the framework of the max-plus ("tropical") semiring.

关键词： Prototypes Principal component analysis computer science Computational modeling Image sampling Data mining Object recognition Humans Hierarchical systems computer vision

来源：评论

学校读者我要写书评

暂无评论

A Benchmark for the Comparison of 3-D Motion Segmentation Algorithms

A Benchmark for the Comparison of 3-D Motion Segmentation Al...

引用

Conference on computer vision and pattern recognition (CVPR)

作者： Roberto Tron Rene Vidal Center for Imaging Science Johns Hopkins University Baltimore MD USA

Over the past few years, several methods for segmenting a scene containing multiple rigidly moving objects have been proposed. However, most existing methods have been tested on a handful of sequences only, and each method has been often tested on a different set of sequences. Therefore, the comparison of different methods has been fairly limited. In this paper, we compare four 3D motion segmentation algorithms for affine cameras on a benchmark of 155 motion sequences of checkerboard, traffic, and articulated scenes.

关键词： Motion segmentation computer vision Layout Cameras Statistical analysis Databases Application software Image segmentation Benchmark testing Traffic control

来源：评论

学校读者我要写书评

暂无评论

Fast 3D Scanning with Automatic Motion Compensation

Fast 3D Scanning with Automatic Motion Compensation

引用

Conference on computer vision and pattern recognition (CVPR)

作者： Thibaut Weise Bastian Leibe Luc Van Gool Computer Vision Laboratory ETH Zurich Switzerland

We present a novel 3D scanning system combining stereo and active illumination based on phase-shift for robust and accurate scene reconstruction. Stereo overcomes the traditional phase discontinuity problem and allows for the reconstruction of complex scenes containing multiple objects. Due to the sequential recording of three patterns, motion will introduce artifacts in the reconstruction. We develop a closed-form expression for the motion error in order to apply motion compensation on a pixel level. The resulting scanning system can capture accurate depth maps of complex dynamic scenes at 17 fps and can cope with both rigid and deformable objects.

关键词： Motion compensation Image reconstruction Layout Cameras Surface reconstruction Robustness Real time systems Surface texture Stereo vision Closed-form solution

来源：评论

学校读者我要写书评

暂无评论

Shape Variation-Based Frieze pattern for Robust Gait recognition

Shape Variation-Based Frieze Pattern for Robust Gait Recogni...

引用

Conference on computer vision and pattern recognition (CVPR)

作者： Seungkyu Lee Yanxi Liu Robert Collins Department of Electrical Engineering Pennsylvania State University USA Department of Computer Science and Engineering Pennsylvania State University USA

Gait is an attractive biometric for vision-based human identification. Previous work on existing public data sets has shown that shape cues yield improved recognition rates compared to pure motion cues. However, shape cues are fragile to gross appearance variations of an individual, for example, walking while carrying a ball or a backpack. We introduce a novel, spatiotemporal shape variation-based frieze pattern (SVB frieze pattern) representation for gait, which captures motion information over time. The SVB frieze pattern represents normalized frame difference over gait cycles. Rows/columns of the vertical/horizontal SVB frieze pattern contain motion variation information augmented by key frame information with body shape. A temporal symmetry map of gait patterns is also constructed and combined with vertical/horizontal SVB frieze patterns for measuring the dissimilarity between gait sequences. Experimental results show that our algorithm improves gait recognition performance on sequences with and without gross differences in silhouette shape. We demonstrate superior performance of this computational framework over previous algorithms using shape cues alone on both CMU MoBo and UoS HumanID gait databases.

关键词： Shape Robustness pattern recognition Humans Image databases Biometrics Legged locomotion Testing Spatiotemporal phenomena Hidden Markov models

来源：评论

学校读者我要写书评

暂无评论

Towards Robust Pedestrian Detection in Crowded Image Sequences

Towards Robust Pedestrian Detection in Crowded Image Sequenc...

引用

Conference on computer vision and pattern recognition (CVPR)

作者： Edgar Seemann Mario Fritz Bernt Schiele TU Darmstadt Germany

Object class detection in scenes of realistic complexity remains a challenging task in computer vision. Most recent approaches focus on a single and general model for object class detection. However, in particular in the context of image sequences, it may be advantageous to adapt the general model to a more object-instance specific model in order to detect this particular object reliably within the image sequence. In this work we present a generative object model that is capable to scale from a general object class model to a more specific object-instance model. This allows to detect class instances as well as to distinguish between individual object instances reliably. We experimentally evaluate the performance of the proposed system on both still images and image sequences.

关键词： Robustness Image sequences Object detection Layout Context modeling Image segmentation Shape Voting computer vision Vehicle detection

来源：评论

学校读者我要写书评

暂无评论

Semantic Hierarchies for Visual Object recognition

Semantic Hierarchies for Visual Object Recognition

引用

Conference on computer vision and pattern recognition (CVPR)

作者： Marcin Marszalek Cordelia Schmid LEAR-LJK INRIA Montbonnot France

In this paper we propose to use lexical semantic networks to extend the state-of-the-art object recognition techniques. We use the semantics of image labels to integrate prior knowledge about inter-class relationships into the visual appearance learning. We show how to build and train a semantic hierarchy of discriminative classifiers and how to use it to perform object detection. We evaluate how our approach influences the classification accuracy and speed on the Pascal VOC challenge 2006 dataset, a set of challenging real-world images. We also demonstrate additional features that become available to object recognition due to the extension with semantic inference tools- we can classify high-level categories, such as animals, and we can train part detectors, for example a window detector, by pure inference in the semantic network.

关键词： Object recognition Object detection Humans Vehicle detection Detectors Machine vision Animals Support vector machines Support vector machine classification Dogs

来源：评论

学校读者我要写书评

暂无评论

An MRF and Gaussian Curvature Based Shape Representation for Shape Matching

An MRF and Gaussian Curvature Based Shape Representation for...

引用

Conference on computer vision and pattern recognition (CVPR)

作者： Pengdong Xiao Nick Barnes Tiberio Caetano Paulette Lieby NICTA Australia Research School of Information Sciences and Engineering National ICT Australian National University Australia

Matching and registration of shapes is a key issue in computer vision, pattern recognition, and Medical Image Analysis. This paper presents a shape representation framework based on Gaussian curvature and Markov random fields (MRFs) for the purpose of shape matching. The method is based on a surface mesh model in R 3 , which is projected into a two-dimensional space and there modeled as an extended boundary closed Markov random field. The surface is homeomorphic to S 2 . The MRF encodes in the nodes entropy features of the corresponding similarities based on Gaussian curvature, and in the edges the spatial consistency of the meshes. Correspondence between two surface meshes is then established by performing probabilistic inference on the MRF via Gibbs sampling. The technique combines both geometric, topological, and probabilistic information, which can be used to represent shapes in three dimensional space, and can be generalized to higher dimensional spaces. As a result, the representation can be used for shape matching, registration, and statistical shape analysis.

关键词： Shape Markov random fields pattern matching Entropy Sampling methods Indexing Image retrieval Biomedical engineering Australia computer vision

来源：评论

学校读者我要写书评

暂无评论

A Probabilistic Intensity Similarity Measure based on Noise Distributions

A Probabilistic Intensity Similarity Measure based on Noise ...

引用

Conference on computer vision and pattern recognition (CVPR)

作者： Yasuyuki Matsushita Stephen Lin Microsoft Research Asia Beijing China

We derive a probabilistic similarity measure between two observed image intensities that is based on the noise properties of the camera. In many vision algorithms, the effect of camera noise is either neglected or reduced in a preprocessing stage. However, noise reduction cannot be performed with high accuracy due to lack of knowledge about the true intensity signal. Our similarity metric specifically represents the likelihood that two intensity observations correspond to the same unknown noise-free scene radiance. By directly accounting for noise in the evaluation of similarity, the proposed measure makes noise reduction unnecessary and enhances many vision algorithms that involve matching of image intensities. Real-world experiments demonstrate the effectiveness of the proposed similarity measure in comparison to the standard L 2 norm.

关键词： Noise measurement Noise reduction Layout Cameras Optical imaging computer vision Optical noise Probability distribution Fluctuations Asia

来源：评论

学校读者我要写书评

暂无评论

Eigenboosting: Combining Discriminative and Generative Information

Eigenboosting: Combining Discriminative and Generative Infor...

引用

Conference on computer vision and pattern recognition (CVPR)

作者： Helmut Grabner Peter M. Roth Horst Bischof Institute for Computer Graphics and Vision Graz University of Technology Austria

A major shortcoming of discriminative recognition and detection methods is their noise sensitivity, both during training and recognition. This may lead to very sensitive and brittle recognition systems focusing on irrelevant information. This paper proposes a method that selects generative and discriminative features. In particular, we boost classical Haar-like features and use the same features to approximate a generative model (i.e., eigenimages). A modified error function for boosting ensures that only features are selected that show a good discrimination and reconstruction. This allows a robust feature selection using boosting. Thus, we can handle problems where discriminant classifiers fail while still retaining the discriminative power. Our experiments show that we can significantly improve the recognition performance when learning from noisy data. Moreover, the feature type used allows efficient recognition and reconstruction.

关键词： Robustness Image reconstruction Boosting Principal component analysis Linear discriminant analysis Support vector machines Support vector machine classification Training data Independent component analysis Power generation

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 << < 58 59 60 61 62 63 64 65 66 67 > >>

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：