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711-720 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：

Learning Gaussian Conditional Random Fields for Low-Level vision

Learning Gaussian Conditional Random Fields for Low-Level Vi...

引用

Conference on computer vision and pattern recognition (CVPR)

作者： Marshall F. Tappen Ce Liu Edward H. Adelson William T. Freeman University of Central Florida Orlando FL USA MIT CSAIL Cambridge MA USA

Markov random field (MRF) models are a popular tool for vision and image processing. Gaussian MRF models are particularly convenient to work with because they can be implemented using matrix and linear algebra routines. However, recent research has focused on on discrete-valued and non-convex MRF models because Gaussian models tend to over-smooth images and blur edges. In this paper, we show how to train a Gaussian conditional random field (GCRF) model that overcomes this weakness and can outperform the non-convex field of experts model on the task of denoising images. A key advantage of the GCRF model is that the parameters of the model can be optimized efficiently on relatively large images. The competitive performance of the GCRF model and the ease of optimizing its parameters make the GCRF model an attractive option for vision and image processing applications.

关键词： Markov random fields Linear algebra Inference algorithms Image reconstruction Signal generators Image processing Anisotropic magnetoresistance Signal design Design optimization Matrices

来源：评论

学校读者我要写书评

暂无评论

A Nine-point Algorithm for Estimating Para-Catadioptric Fundamental Matrices

A Nine-point Algorithm for Estimating Para-Catadioptric Fund...

引用

Conference on computer vision and pattern recognition (CVPR)

作者： Christopher Geyer Henrik Stewenius Robotics Institute Carnegie Mellon University USA Center for Visualization and Virtual Environments University of Kentucky USA

We present a minimal-point algorithm for finding fundamental matrices for catadioptric cameras of the parabolic type. Central catadioptric cameras-an optical combination of a mirror and a lens that yields an imaging device equivalent within hemispheres to perspective cameras-have found wide application in robotics, tele-immersion and providing enhanced situational awareness for remote operation. We use an uncalibrated structure-from-motion framework developed for these cameras to consider the problem of estimating the fundamental matrix for such cameras. We present a solution that can compute the para-catadioptirc fundamental matrix with nine point correspondences, the smallest number possible. We compare this algorithm to alternatives and show some results of using the algorithm in conjunction with random sample consensus (RANSAC).

关键词： Cameras Robot vision systems Mirrors Lenses Image reconstruction Robustness Optical devices Robot kinematics Geometry Nonlinear distortion

来源：评论

学校读者我要写书评

暂无评论

Delaunay Deformable Models: Topology-Adaptive Meshes Based on the Restricted Delaunay Triangulation

Delaunay Deformable Models: Topology-Adaptive Meshes Based o...

引用

Conference on computer vision and pattern recognition (CVPR)

作者： Jean-Philippe Pons Jean-Daniel Boissonnat WILLOW INRIA/ENS/École des Ponts Paris France INRIA GEOMETRICA Sophia-Antipolis France

In this paper, we propose a robust and efficient Lagrangian approach, which we call Delaunay deformable models, for modeling moving surfaces undergoing large deformations and topology changes. Our work uses the concept of restricted Delaunay triangulation, borrowed from computational geometry. In our approach, the interface is represented by a triangular mesh embedded in the Delaunay tetrahedralization of interface points. The mesh is iteratively updated by computing the restricted Delaunay triangulation of the deformed objects. Our method has many advantages over popular Eulerian techniques such as the level set method and over hybrid Eulerian-Lagrangian techniques such as the particle level set method: localization accuracy, adaptive resolution, ability to track properties associated to the interface, seamless handling of triple junctions. Our work brings a rigorous and efficient alternative to existing topology-adaptive mesh techniques such as T-snakes.

关键词： Deformable models Level set Lagrangian functions Robustness computer vision Topology Physics computing Computational modeling computer simulation Computational fluid dynamics

来源：评论

学校读者我要写书评

暂无评论

ROI-SEG: Unsupervised Color Segmentation by Combining Differently Focused Sub Results

ROI-SEG: Unsupervised Color Segmentation by Combining Differ...

引用

Conference on computer vision and pattern recognition (CVPR)

作者： Michael Donoser Horst Bischof Institute for Computer Graphics and Vision Graz University of Technology Austria

This paper presents a novel unsupervised color segmentation scheme named ROI-SEG, which is based on the main idea of combining a set of different sub-segmentation results. We propose an efficient algorithm to compute sub-segmentations by an integral image approach for calculating Bhattacharyya distances and a modified version of the maximally stable extremal region (MSER) detector. The sub-segmentation algorithm gets a region-of-interest (ROI) as input and detects connected regions having similar color appearance as the ROI. We further introduce a method to identify ROIs representing the predominant color and texture regions of an image. Passing each of the identified ROIs to the sub-segmentation algorithm provides a set of different segmentations, which are then combined by analyzing a local quality criterion. The entire approach is fully unsupervised and does not need a priori information about the image scene. The method is compared to state-of-the-art algorithms on the Berkeley image database, where it shows competitive results at reduced computational costs.

关键词： Image segmentation Color Detectors Partitioning algorithms Focusing Algorithm design and analysis Layout Image databases computer graphics Computational efficiency

来源：评论

学校读者我要写书评

暂无评论

Home Interior Classification using SIFT Keypoint Histograms

Home Interior Classification using SIFT Keypoint Histograms

引用

Conference on computer vision and pattern recognition (CVPR)

作者： Brian Ayers Matthew Boutell Rose Hulman Institute of Technology Terre Haute IN USA

Semantic scene classification, the process of categorizing photographs into a discrete set of classes using pattern recognition techniques, is a useful ability for image annotation, organization and retrieval. The literature has focused on classifying outdoor scenes such as beaches and sunsets. Here, we focus on a much more difficult problem, that of differentiating between typical rooms in home interiors, such as bedrooms or kitchens. This requires robust image feature extraction and classification techniques, such as SIFT (scale-invariant feature transform) features and Adaboost classifiers. To this end, we derived SIFT keypoint histograms, an efficient image representation that utilizes variance information from linear discriminant analysis. We compare SIFT keypoint histograms with other features such as spatial color moments and compare Adaboost with support vector machine classifiers. We outline the various techniques used, show their advantages, disadvantages, and actual performance, and determine the most effective algorithm of those tested for home interior classification. Furthermore, we present results of pairwise classification of 7 rooms typically found in homes.

关键词： Histograms Layout pattern recognition Image retrieval Robustness Feature extraction Image representation Linear discriminant analysis Support vector machines Support vector machine classification

来源：评论

学校读者我要写书评

暂无评论

Multi-Object Tracking Using Color, Texture and Motion

Multi-Object Tracking Using Color, Texture and Motion

引用

Conference on computer vision and pattern recognition (CVPR)

作者： Valtteri Takala Matti Pietikainen Machine Vision Group Infotech Oulu and Department of Electrical and Information Engineering University of Oulu Finland

In this paper, we introduce a novel real-time tracker based on color, texture and motion information. RGB color histogram and correlogram (autocorrelogram) are exploited as color cues and texture properties are represented by local binary patterns (LBP). Object's motion is taken into account through location and trajectory. After extraction, these features are used to build a unifying distance measure. The measure is utilized in tracking and in the classification event, in which an object is leaving a group. The initial object detection is done by a texture-based background subtraction algorithm. The experiments on indoor and outdoor surveillance videos show that a unified system works better than the versions based on single features. It also copes well with low illumination conditions and low frame rates which are common in large scale surveillance systems.

关键词： Tracking Surveillance Videos Cameras Histograms Feature extraction Object detection Large-scale systems Layout Event detection

来源：评论

学校读者我要写书评

暂无评论

Real-Time Image Matching Based on Multiple View Kernel Projection

Real-Time Image Matching Based on Multiple View Kernel Proje...

引用

Conference on computer vision and pattern recognition (CVPR)

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

This paper proposes a novel matching method for realtime finding the correspondences among different images containing the same object. The method utilizes an efficient Kernel Projection scheme to descript the image patch around a detected feature point. In order to achieve invariance and tolerance to geometric distortions, it combines a training stage based on generated synthetic views of the object. The two reliable and efficient methods cooperate together, resulting the core part of our novel multiple view kernel projection method (MVKP). Finally, considering the properties and distribution of the described feature vectors, we search for the best correspondence between two sets of features using a fast filtering vector approximation (FFVA) algorithm, which can be viewed as a fast lower-bound rejection scheme. Extensive experimental results on both synthetic and real data have demonstrated the effectiveness of the proposed approach.

关键词： Image matching Kernel computer vision Robustness Real time systems Principal component analysis Filtering Layout Image databases Intelligent sensors

来源：评论

学校读者我要写书评

暂无评论

Learning Features for Tracking

Learning Features for Tracking

引用

Conference on computer vision and pattern recognition (CVPR)

作者： Michael Grabner Helmut Grabner Horst Bischof Institute for Computer Graphics and Vision Graz University of Technology Austria

We treat tracking as a matching problem of detected key-points between successive frames. The novelty of this paper is to learn classifier-based keypoint descriptions allowing to incorporate background information. Contrary to existing approaches, we are able to start tracking of the object from scratch requiring no off-line training phase before tracking. The tracker is initialized by a region of interest in the first frame. Afterwards an on-line boosting technique is used for learning descriptions of detected keypoints lying within the region of interest. New frames provide new samples for updating the classifiers which increases their stability. A simple mechanism incorporates temporal information for selecting stable features. In order to ensure correct updates a verification step based on estimating homographies using RANSAC is performed. The approach can be used for real-time applications since on-line updating and evaluating classifiers can be done efficiently.

关键词： Target tracking Boosting Layout Karhunen-Loeve transforms Classification tree analysis computer graphics Stability Design methodology Robustness Shape

来源：评论

学校读者我要写书评

暂无评论

On Constructing Facial Similarity Maps

On Constructing Facial Similarity Maps

引用

Conference on computer vision and pattern recognition (CVPR)

作者： Alex Holub Yun-hsueh Liu Pietro Perona California Institute of Technology Pasadena CA USA

Automatically determining facial similarity is a difficult and open question in computer vision. The problem is complicated both because it is unclear what facial features humans use to determine facial similarity and because facial similarity is subjective in nature: similarity judgements change from person to person. In this work we suggest a system which places facial similarity on a solid computational footing. First we describe methods for acquiring facial similarity ratings from humans in an efficient manner. Next we show how to create feature vector representations for each face by extracted patches around facial key-points. Finally we show how to use the acquired similarity ratings to learn functional mapping which project facial-feature vectors into face spaces which correspond to our notions of facial similarity. We use different collections of images to both create and validate the face spaces including: perceptual similarity data obtained from humans, morphed faces between two different individuals, and the CMU PIE collection which contains images of the same individual under different lighting conditions. We demonstrate that using our methods we can effectively create face spaces which correspond to human notions of facial similarity.

关键词： Humans Extraterrestrial measurements Facial features Training data Face detection computer vision Solids Face recognition Eyes Data mining

来源：评论

学校读者我要写书评

暂无评论

Stereo Matching via Disparity Estimation and Surface Modeling

Stereo Matching via Disparity Estimation and Surface Modelin...

引用

Conference on computer vision and pattern recognition (CVPR)

作者： Jong Dae Oh Siwei Ma C.-C. Jay Kuo University of Southern California Los Angeles CA USA

Two new techniques are proposed to improve stereo matching performance in this work. First, to address the disparity discontinuity problem in occluded regions, we present a disparity estimation procedure, which consists of two steps; namely, a greedy disparity filling algorithm and a least-squared-errors (LSE) fitting method. Second, it is observed that the existing fronto-parallel model with color segmentation is built upon the piecewise constant surface approximation, which is however not efficient in approximating slanted or curved objects. We use a piecewise linear surface model to represent 3-dimensional (3D) geometric structure for better surface modeling. The proposed stereo matching system with these two new components is evaluated with Middlebury data sets with excellent quantitative and qualitative results.

关键词： Stereo vision Surface fitting Solid modeling Piecewise linear approximation Piecewise linear techniques Pixel Cost function Image segmentation Cameras Filling

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 << < 68 69 70 71 72 73 74 75 76 77 > >>

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：