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291-300 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 Mathematical Comparison of Point Detectors

A Mathematical Comparison of Point Detectors

引用

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

作者： M. Zuliani C. Kenney B.S. Manjunath Vision Research Lab Department of Electrical and Computer Engineering University of California슠Santa Barbara Santa Barbara CA USA

Selecting salient points from two or more images for computing correspondences is a fundamental problem in image analysis. Three methods originally proposed by Harris et al. in [A combined corner and edge detector], by Noble et al. in [Descriptions of image surfaces] and by Shi et al. in [Good features to track] proved to be quite effective and robust and have been widely used by the computer vision community. The goal of this paper is to analyze these point detectors starting from the algebraic and numerical properties of the image auto-correlation matrix. To accomplish this task we will first introduce a "natural" constraint that needs to be satisfied by any point detector based on the auto-correlation matrix. Then, by casting the point detection problem in a mathematical framework based on condition theory [A condition number for point matching with application to registration and post-registration error estimation], we will show that under certain hypothesis the point detectors are equivalent modulo the choice of a specific matrix norm. The results presented in this paper will provide a novel unifying description for the most commonly used point detection algorithms.

关键词： Detectors Transmission line matrix methods computer vision Autocorrelation Image analysis Layout Robustness Casting Detection algorithms Image reconstruction

来源：评论

学校读者我要写书评

暂无评论

Learning with Cascade for Classification of Non-Convex Manifolds

Learning with Cascade for Classification of Non-Convex Manif...

引用

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

作者： Xiangsheng Huang S.Z. Li Yangsheng Wang Institute of Automation Chinese Academy and Sciences Beijing China Microsoft Research Asia Beijing China

Images of a visual object, such as human face, reside in a complicated manifold in the high dimensional image space, when the object is subject to variations in pose, illumination, and other factors. Viola and Jones have successfully tackled difficult nonlinear classification problem for face detection using AdaBoost learning. Moreover, their simple-to-complex cascade of classifiers structure makes the learning and classification even more effective. While training with cascade has been used effectively in many works [4, 5, 6, 7, 2, 3, 8, 9, 10], an understanding of the role of the cascade strategy is still lacking. In this paper, we analyze the problem of classifying non-convex manifolds using AdaBoost learning with and without using cascade. We explain that the divide-and-conquer strategy in cascade learning has a great contribution on learning a complex classifier for non-convex manifolds. We prove that AdaBoost learning with cascade is effective when a complete or over-complete set of features (or weak classifiers) is available. Experiments with both synthesized and real data demonstrate that AdaBoost learning with cascade leads to improved convergence and accuracy.

关键词： Principal component analysis Face detection Automation Humans Lighting pattern recognition computer vision computer errors Asia Convergence

来源：评论

学校读者我要写书评

暂无评论

Object-Based Visual 3D Tracking of Articulated Objects via Kinematic Sets

Object-Based Visual 3D Tracking of Articulated Objects via K...

引用

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

作者： A.I. Comport E. Marchand F. Chaumette IRISA/INRIA Rennes France

A theoretical framework based on robotics techniques is introduced for visual tracking of parametric non-rigid multi-body objects. It is based on an a-priori model of the object including a general mechanical link description. The objective equation is defined in the object-based coordinate system and non-linear minimization relates to the movement of the object and not the camera. This results in simultaneously estimating all degrees of freedom between the object's last known position relative to its previous position as well as internal articulated parameters. A new kinematic-set formulation takes into account that articulated degrees of freedom are directly observable from the camera and therefore their estimation does not need to pass via a kinematic-chain back to the root. By doing this the tracking techniques are efficient and precise leading to real-time performance and accurate measurements. The system is locally based upon an accurate modeling of a distance criteria. A general method is derived for defining any type of mechanical link and experimental results show prismatic, rotational and helicoidal type links. A statistical M-estimation technique is applied to improve robustness. A monocular camera system was used as a real-time sensor to verify the theory.

关键词： Kinematics computer Society computer vision pattern recognition conferences

来源：评论

学校读者我要写书评

暂无评论

A Unified Framework for Performance Evaluation of 3-D Reconstruction Techniques

A Unified Framework for Performance Evaluation of 3-D Recons...

引用

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

作者： A. Eid A. Farag Computer Vision and Image Processing (CVIP) Laboratory University of Louisville Louisville KY USA

In this paper we consider the problem of performance evaluation of 3-D reconstruction techniques from calibrated sequence of images. We propose a unified framework for the evaluation process assuming the existence of ground truth data collected by a 3-D laser scanner. Firstly, we propose a new pre-evaluation technique for 3-D data registration based on silhouettes alignment. The performance of this technique is independent of the output quality of the 3-D reconstruction technique under test. This is a major advantage of our technique since the quality issue, which is not guarantee under the evaluation topic, is a challenge for any 3-D registration technique. Secondly, we propose a geometrically based evaluation methodology. The method is based on the geometrical matching of uniformly distributed patches of both ground truth and under-test data sets. The method is insensitive to the relative density of data sets. In addition, it provides a method for localizing errors which is a crucial step for diagnosis and data fusion post-evaluation techniques. Finally, we provide experimental results on the evaluation of stereo and space carving techniques.

关键词： Three dimensional displays Stereo vision Testing computer vision Optical sensors Cameras Image processing Laboratories Stereo image processing Fuses

来源：评论

学校读者我要写书评

暂无评论

Head and Facial Animation Tracking using Appearance-Adaptive Models and Particle Filters

Head and Facial Animation Tracking using Appearance-Adaptive...

引用

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

作者： F. Dornaika F. Davoine CNRS HEUDIASYC Compiègne University of Technology Compiegne France

This paper introduces two frameworks for head and facial animation tracking. The first framework introduces a particle-filter tracker capable of tracking the 3D head pose using a statistical facial texture model. The second framework introduces an appearance-adaptive tracker capable of tracking the 3D head pose and the facial animations in real-time. This framework has the merits of both deterministic and stochastic approaches. It consists of an online adaptive observation model of the face texture together with an adaptive transition motion model. The latter is based on a registration technique between the appearance model and the incoming observation. The second framework extends the concept of Online Appearance Models to the case of tracking 3D non-rigid face motion (3D head pose and facial animations). Tracking long video sequences demonstrated the effectiveness of the developed methods. Accurate tracking was obtained even in the presence of perturbing factors such as illumination changes, significant head pose and facial expression variations as well as occlusions.

关键词： Facial animation Particle tracking Particle filters Face detection Head Stochastic processes Facial features computer vision Video sequences Application software

来源：评论

学校读者我要写书评

暂无评论

Junction Inference and Classification for Figure Completion using Tensor Voting

Junction Inference and Classification for Figure Completion ...

引用

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

作者： P. Mordohai G. Medioni Institute for Robotics and Intelligent Systems University of Southern California Los Angeles CA USA

We address the issues associated with figure completion, a perceptual grouping task. Endpoints and junctions play a critical role in contour completion by the human visual system and should be an integral part of a computational process that attempts to emulate human perception. A significant body of evidence in the psychology literature points to two types of completion, modal (or orthogonal) and amodal (or parallel). We provide a computational framework which implements both types of completion and integrates a fully automatic decision making mechanism for selecting between them. It proceeds directly from tokens or binary image input, infers descriptions in terms of overlapping layers and labels junctions as T, L and endpoints. It is based on first and second order tensor voting, which facilitate the propagation of local support among tokens. The addition of first order information to the original framework is crucial, since it makes the inference of endpoints and the labeling of junctions possible. We illustrate the approach on several classical inputs, producing interpretations consistent with those of the human visual system.

关键词： Tensile stress Voting Humans Visual system computer vision Intelligent robots Intelligent systems Psychology Decision making Labeling

来源：评论

学校读者我要写书评

暂无评论

Learning to Detect Scene Text Using a Higher-Order MRF with Belief Propagation

Learning to Detect Scene Text Using a Higher-Order MRF with ...

引用

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

作者： Dong-Qing Zhang Shih-Fu Chang Department of Electrical Engineering Columbia University New York NY USA

Detecting text in natural 3D scenes is a challenging problem due to background clutter and photometric/gemetric variations of scene text. Most prior systems adopt approaches based on deterministic rules, lacking a systematic and scalable framework. In this paper, we present a parts-based approach for 3D scene text detection using a higher-order MRF model. The higher-order structure is used to capture the spatial-feature relations among multiple parts in scene text. The use of higher-order structure and the feature-dependent potential function represents significant departure from the conventional pairwise MRF, which has been successfully applied in several low-level applications. We further develop a variational approximation method, in the form of belief propagation, for inference in the higher-order model. Our experiments using the ICDAR'03 benchmark showed promising results in detecting scene text with significant geometric variations, background clutter on planar surfaces or non-planar surfaces with limited angles.

关键词： Layout Belief propagation Object detection Biological system modeling Application software Tree graphs Humans computer vision Photometry Approximation methods

来源：评论

学校读者我要写书评

暂无评论

Kernel Optimal Component Analysis

Kernel Optimal Component Analysis

引用

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

作者： Qiang Zhang Xiuwen Liu Department of Computer Science Florida State University Tallahassee FL USA

Optimal component analysis (OCA) provides a general sub-space formulation that has many applications. Within the framework of linear representations, OCA poses the problem of finding the optimal representations as an optimization one on the underlying manifold such as Grassmann and a stochastic optimization algorithm can then be used to derive optimal representations for recognition and other applications. However, in many applications, as the underlying manifold is intrinsically nonlinear, the effectiveness of linear representations and thus OCA can be limited. To overcome this fundamental limitation, in this paper we propose a kernelized version of optimal component analysis. The basic idea is to (potentially) account the nonlinearity in the feature space through a nonlinear feature mapping so that linear representations in the resulting feature space can be used effectively for nonlinear problems in the given space. The computational complexity associated with the mapping is overcome by performing the mapping implicitly using a property of reproducing kernel Hilbert space. Therefore, kernel optimal component analysis provides a general method to learn application-dependent representations, either linear or nonlinear and a stochastic effective algorithm is presented. Experimental results for recognition show the feasibility and effectiveness of the proposed method.

关键词： Kernel Independent component analysis Stochastic processes Principal component analysis Hilbert space Algorithm design and analysis Object recognition Image recognition computer science Application software

来源：评论

学校读者我要写书评

暂无评论

Midstream Content Access of Visual pattern Coded Imagery

Midstream Content Access of Visual Pattern Coded Imagery

引用

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

作者： G. Schaefer School of Computing and Technology Nottingham Trent University Nottingham UK

Multimedia retrieval is going to play an increasingly important role in the future. Since the availability of digital media seems ever rising, not only the retrieval performance in terms of what the user is presented with as a result but also the retrieval speed proves to be crucial. Images are arguably the most prominent type of media that is to be searched and retrieved, and similar to other media such as videos or sound, images are usually stored in compressed form in order to save storage and bandwidth resources. One way of addressing the speed problem is to perform image retrieval directly in the compressed domain thus saving the time it takes to decode the pictures. In this paper we introduce such a compressed domain image retrieval technique based on the Colour Visual pattern Image Coding (CVPIC) compression method. A combined colour co-occurrence/shape matrix is built and used in retrieval experiments. These experiments show that our approach is not only desirable from an efficiency point of view but that it also clearly outperforms popular image retrieval techniques such as colour histograms, colour coherence vectors and colour correlograms.

关键词： Image coding Image retrieval Image storage Decoding Shape Content based retrieval Information retrieval Image edge detection Bandwidth Histograms

来源：评论

学校读者我要写书评

暂无评论

A Generalized Temporal Context Model for Semantic Scene Classification

A Generalized Temporal Context Model for Semantic Scene Clas...

引用

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

作者： M. Boutell Jiebo Luo Department of Computer Science University of Rochester USA Research and Development Laboratories Eastman Kodak (Japan) Limited USA

Semantic scene classification is an open problem in computer vision especially when information from only a single image is employed. In applications involving image collections, however, images are clustered sequentially, allowing surrounding images to be used as temporal context. We present a general probabilistic temporal context model in which the first-order Markov property is used to integrate content-based and temporal context cues. The model uses elapsed time-dependent transition probabilities between images to enforce the fact that images captured within a shorter period of time are more likely to be related. This model is generalized in that it allows arbitrary elapsed time between images, making it suitable for classifying image collections. We also derived a variant of this model to use in image collections for which no timestamp information is available, such as film scans. We applied the context models to two problems, achieving significant gains in accuracy in both cases. The two algorithms used to implement inference within the context model, Viterbi and belief propagation, yielded similar results.

关键词： Context modeling Layout Hidden Markov models computer vision Digital cameras computer science Research and development Laboratories Application software Inference algorithms

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 << < 26 27 28 29 30 31 32 33 34 35 > >>

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：