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

6,810 篇 会议
36 篇 期刊文献
12 册 图书

馆藏范围

6,857 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

4,042 篇 工学
- 3,808 篇 计算机科学与技术...
- 1,615 篇 软件工程
- 847 篇 光学工程
- 383 篇 信息与通信工程
- 286 篇 控制科学与工程
- 212 篇 机械工程
- 189 篇 电气工程
- 97 篇 生物医学工程（可授...
- 80 篇 电子科学与技术（可...
- 79 篇 生物工程
- 62 篇 仪器科学与技术
- 39 篇 力学（可授工学、理...
- 38 篇 建筑学
- 37 篇 土木工程
- 34 篇 航空宇航科学与技...
- 29 篇 安全科学与工程
- 24 篇 测绘科学与技术
- 23 篇 交通运输工程
- 22 篇 化学工程与技术
1,618 篇 理学
- 1,021 篇 物理学
- 1,005 篇 数学
- 379 篇 统计学（可授理学、...
- 160 篇 生物学
- 38 篇 系统科学
- 27 篇 化学
185 篇 管理学
- 132 篇 图书情报与档案管...
- 56 篇 管理科学与工程(可...
- 32 篇 工商管理
153 篇 医学
- 153 篇 临床医学
- 22 篇 基础医学(可授医学...
18 篇 法学
11 篇 教育学
10 篇 农学
7 篇 经济学
2 篇 军事学
1 篇 艺术学

主题

2,394 篇 computer vision
879 篇 pattern recognit...
667 篇 cameras
663 篇 computer science
633 篇 face recognition
577 篇 layout
550 篇 image segmentati...
524 篇 conferences
520 篇 shape
479 篇 object recogniti...
470 篇 robustness
411 篇 humans
354 篇 feature extracti...
338 篇 object detection
308 篇 training
278 篇 application soft...
270 篇 image recognitio...
263 篇 lighting
241 篇 image reconstruc...
236 篇 computational mo...

机构

43 篇 microsoft resear...
26 篇 department of co...
21 篇 swiss fed inst t...
21 篇 school of comput...
20 篇 department of co...
19 篇 swiss fed inst t...
19 篇 carnegie mellon ...
18 篇 department of co...
18 篇 the robotics ins...
17 篇 department of in...
17 篇 robotics institu...
17 篇 institute of com...
16 篇 univ sci & techn...
15 篇 tsinghua univ pe...
14 篇 department of el...
14 篇 computer vision ...
14 篇 school of comput...
14 篇 microsoft resear...
14 篇 school of comput...
13 篇 univ maryland co...

作者

39 篇 timofte radu
28 篇 s.k. nayar
26 篇 huang thomas s.
24 篇 xiaoou tang
24 篇 t. kanade
21 篇 t.s. huang
20 篇 van gool luc
20 篇 chellappa rama
19 篇 nayar shree k.
19 篇 t. darrell
17 篇 li stan z.
17 篇 torralba antonio
17 篇 a.k. jain
17 篇 a. zisserman
17 篇 jain anil k.
16 篇 m. hebert
16 篇 g. healey
16 篇 heung-yeung shum
16 篇 zisserman andrew
15 篇 m. shah

语言

6,856 篇 英文
2 篇 中文
1 篇 土耳其文

检索条件"任意字段=2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2006"

共 6858 条记录，以下是4171-4180 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：

Classifying Facial Gestures in Presence of Head Motion

Classifying Facial Gestures in Presence of Head Motion

引用

ieee computer society conference on computer vision and pattern recognition Workshops (cvprW)

作者： Wei-Kai Liao I. Cohen Institute for Robotics and Intelligent Systems Integrated Media Systems Center University of Southern California Los Angeles CA USA

This paper addresses the problem of automatic facial gestures recognition in an interactive environment. Automatic facial gestures recognition is a difficult problem in computer vision, and most of the work has focused on inferring facial gestures in the context of a static head. In the paper we address the challenging problem of recognizing the facial expressions of a moving head. We present a systematic framework to analyze and classify the facial gestures with the head movement. Our system includes a 3D head pose estimation method to recover the global head motion. After estimating the head pose, the human face is modeled by a collection of face’s regions. These regions represent the face model used for locating and extracting temporal facial features. We propose using a locally affine motion model to represent extracted motion fields. The classification consists of a graphical model for robustly representing the dependencies of the selected facial regions and the support vector machine. Our experiments show that this approach could classify human expressions in interactive environments accurately.

关键词： Magnetic heads Face recognition Humans computer vision Motion estimation Facial features Graphical models Robustness Support vector machines Support vector machine classification

来源：评论

学校读者我要写书评

暂无评论

A principled approach to detecting surprising events in video

A principled approach to detecting surprising events in vide...

引用

conference on computer vision and pattern recognition (cvpr)

作者： L. Itti P. Baldi Computer Science and Neuroscience University of Southern California Los Angeles CA USA Computer Science and Institute for Genomics & Bioinformatics University of California Irvine CA USA

Primates demonstrate unparalleled ability at rapidly orienting towards important events in complex dynamic environments. During rapid guidance of attention and gaze towards potential objects of interest or threats, often there is no time for detailed visual analysis. Thus, heuristic computations are necessary to locate the most interesting events in quasi real-time. We present a new theory of sensory surprise, which provides a principled and computable shortcut to important information. We develop a model that computes instantaneous low-level surprise at every location in video streams. The algorithm significantly correlates with eye movements of two humans watching complex video clips, including television programs (17,936 frames, 2,152 saccadic gaze shifts). The system allows more sophisticated and time-consuming image analysis to be efficiently focused onto the most surprising subsets of the incoming data.

关键词： Event detection Humans computer science Bioinformatics Streaming media Image analysis computer vision Brain modeling Neuroscience Genomics

来源：评论

学校读者我要写书评

暂无评论

A New Nonlinear Dimensionality Reduction Technique for Pose and Lighting Invariant Face recognition

A New Nonlinear Dimensionality Reduction Technique for Pose ...

引用

ieee computer society conference on computer vision and pattern recognition Workshops (cvprW)

作者： Ming-Jung Seow R.C. Tompkins V.K. Asari Computational Intelligence & Machine Vision Laboratory Old Dominion University Norfolk VA USA

One of the goals of biometrics research is to develop new techniques and/or algorithms for the automatic recognition of humans. In this paper, we propose the concept of a manifold of facial perception based on the observation that a perceived face in a set of similar face images-subjected to variations in pose, illumination and expression-defines a manifold in the high dimensional space. Such a manifold representation can be learned from images in a database of similar facial feature characteristics. This learned manifold can then be used as a basis for facial recognition. Development of a mathematical model for a nonlinear line attractor that represents a pattern manifold in the feature space is presented in this paper. The non-convex pattern manifolds in the feature space may be extremely complex and difficult to model. Therefore an adaptive divide and conquer modular approach which divides complex manifolds into smaller sub-manifolds in the feature space is also proposed for accurate modeling of the nonlinear line of attraction. A nonlinear dimensionality reduction technique using the learned matrices of the nonlinear line attractor network is then used to embed a set of related observations into a low-dimensional space that preserves the intrinsic dimensionality and metric structure of the data for fast and accurate face recognition. Results based on the proposed work from the first experiment of the FRGC version 2 database have shown promising performance in improving the accuracy in the face recognition.

关键词： Face recognition pattern recognition computer vision Principal component analysis Face detection Humans Computational intelligence Machine vision Laboratories Biometrics

来源：评论

学校读者我要写书评

暂无评论

Higher order whitening of natural images

Higher order whitening of natural images

引用

conference on computer vision and pattern recognition (cvpr)

作者： J. Gluckman Department of Computer Science Polytechnic University Brooklyn NY USA

Natural images are approximately scale invariant resulting in long range statistical regularities that typically obey a power law. For example, images have considerable regularity in their second order spatial correlations as measured by the power spectrum. Processing images to remove these expected correlations is known as whitening an image. Because the expected value of the power spectrum has a regular form (a power law) linear processing such as convolution can be used to whiten an image. After whitening an image, higher order regularities that cannot be removed with linear processing still exist in the form of correlations in the magnitude. In this paper it is shown that these correlations also obey a power law and a non-linear method is used to remove them, a process referred to as higher order whitening. The method is invertible demonstrating that while redundancy is removed no information is lost. Experiments are given showing that after higher order whitening the coefficients can be severely quantized yet a good reconstruction is possible despite the nonlinearities.

关键词： Higher order statistics Power measurement computer science Convolution Image reconstruction Layout Autocorrelation Information theory Impedance matching Physics

来源：评论

学校读者我要写书评

暂无评论

Automatic thermal monitoring system (ATHEMOS) for deception detection

Automatic thermal monitoring system (ATHEMOS) for deception ...

引用

conference on computer vision and pattern recognition (cvpr)

作者： P. Buddharaju J. Dowdall P. Tsiamyrtzis D. Shastri I. Pavlidis M.G. Frank Department of Computer Science University of Houston Clear Lake Houston TX USA Department of Communication Rutgers University New Brunswick NJ USA

Previous work has demonstrated the correlation of periorbital perfusion and stress levels in human beings. In this paper, we report results on a large and realistic mock-crime interrogation experiment. The interrogation is free flowing and no restrictions have been placed on the subjects. We propose a new methodology to compute the average periorbital temperature signal. The present approach addresses the deficiencies of the earlier methodology and is capable of coping with the challenges posed by the realistic setting. Specifically, it features a tandem condensation tracker to register the periorbital area in the context of a moving face. It operates on the raw temperature signal and tries to improve the information content by suppressing the noise level instead of amplifying the signal as a whole. Finally, a pattern recognition method classifies stressful (deceptive) from non-stressful (non-deceptive) subjects based on a comparative measure between the interrogation signal (baseline) and portions thereof (transient response).

关键词： computerized monitoring Face detection Humans Temperature Thermal stresses Image analysis computer vision computer science computer architecture Skin

来源：评论

学校读者我要写书评

暂无评论

2D statistical models of facial expressions for realistic 3D avatar animation

2D statistical models of facial expressions for realistic 3D...

引用

conference on computer vision and pattern recognition (cvpr)

作者： L. Zalewski S. Gong Department of Computer Science Queen Mary University of London London UK

We address the issue of modelling facial expressions for realistic 3D avatar animation. We introduce a hierarchical decomposition of a human face into different components and model them according to their intrinsic functionalities. The parametrisation of the expressions is achieved in a two-level framework. First level accounts for the low level component facial actions and is represented by hierarchical latent variable models. The second level models the final expressions as a combination of subcomponent information extracted from the lower level using combinatorial logic. Finally we produce continuous animation curves that are used to animate 3D avatar in a morph-based fashion. Our approach is entirely based on 2D information extracted from the input source.

关键词： Avatars Facial animation Humans Face Data mining Facial muscles Deformable models computer science Logic Relays

来源：评论

学校读者我要写书评

暂无评论

Learning the semantics of images by using unlabeled samples

Learning the semantics of images by using unlabeled samples

引用

conference on computer vision and pattern recognition (cvpr)

作者： J. Fan H. Luo Y. Gao Department of Computer Science UNC-Charlotte NC USA

ISBN: (纸本)0769523722

In this paper, we have proposed a novel framework to achieve more effective classifier training by using unlabeled samples. By integrating concept hierarchy for semantic image concept organization, a hierarchical mixture model is proposed to enable multi-level image concept modeling and hierarchical classifier training. To effectively learn the base-level classifiers for the atomic image concepts at the first level of the concept hierarchy, we have proposed a novel adaptive EM algorithm to achieve more effective classifier training with higher prediction accuracy. To effectively learn the classifiers for the higher-level semantic image concepts, we have also proposed a novel technique for classifier combining by using hierarchical mixture model. The experimental results on two large-scale image databases are also provided.

关键词： Digital images Image classification Labeling computer science Accuracy Large-scale systems Image databases Digital cameras Internet Image retrieval

来源：评论

学校读者我要写书评

暂无评论

Empirical Evaluation of Advanced Ear Biometrics

Empirical Evaluation of Advanced Ear Biometrics

引用

ieee computer society conference on computer vision and pattern recognition Workshops (cvprW)

作者： Ping Yan KevinW. Bowyer Department of Computer Science and Engineering University of Notre Dame Notre Dame IN USA

We present results of the largest experimental investigation of ear biometrics to date. Approaches considered include a PCA ("eigen-ear") approach with 2D intensity images, achieving 63.8% rank-one recognition; a PCA approach with range images, achieving 55.3% Hausdorff matching of edge images from range images, achieving 67.5% and ICP matching of the 3D data, achieving 98.7%. ICP based matching not only achieves the best performance, but also shows good scalability with size of dataset. The data set used represents over 300 persons, each with images acquired on at least two different dates. In addition, the ICP-based approach is further applied on an expanded data set of 404 subjects, and achieves 97.5% rank one recognition rate. In order to test the robustness and variability of ear biometrics, ear symmetry is also investigated. In our experiments around 90% of people’s right ear and left ear are symmetric.

关键词： Ear Biometrics Principal component analysis Image recognition Shape Iterative closest point algorithm Testing Bayesian methods computer science Scalability

来源：评论

学校读者我要写书评

暂无评论

Symmetric stereo matching for occlusion handling

Symmetric stereo matching for occlusion handling

引用

conference on computer vision and pattern recognition (cvpr)

作者： Jian Sun Yin Li S.B. Kang Heung-Yeung Shum Microsoft Research Asia Beijing China Microsoft Research Limited Redmond WA USA

ISBN: (纸本)0769523722

In this paper, we propose a symmetric stereo model to handle occlusion in dense two-frame stereo. Our occlusion reasoning is directly based on the visibility constraint that is more general than both ordering and uniqueness constraints used in previous work. The visibility constraint requires occlusion in one image and disparity in the other to be consistent. We embed the visibility constraint within an energy minimization framework, resulting in a symmetric stereo model that treats left and right images equally. An iterative optimization algorithm is used to approximate the minimum of the energy using belief propagation. Our stereo model can also incorporate segmentation as a soft constraint. Experimental results on the Middlebury stereo images show that our algorithm is state-of-the-art.

关键词： Iterative algorithms Layout Dynamic programming Pixel Sun Asia Belief propagation Image segmentation Robot vision systems Path planning

来源：评论

学校读者我要写书评

暂无评论

How CanWe Evaluate Object recognition Algorithms Using a Public Object Image Database?

How CanWe Evaluate Object Recognition Algorithms Using a Pub...

引用

ieee computer society conference on computer vision and pattern recognition Workshops (cvprW)

作者： Soo Chahn Lee Duck Hoon Kim Sang Uk Lee Dong Yun Yun School of EECS Seoul National University Seoul South Korea School of EIE Hankuk University of Foreinn Studies Yongin si South Korea

In this paper, to evaluate the performance of object recognition algorithms, we propose a new evaluation framework by synthesizing natural scenes based on the Amsterdam Library of Object Images [1]. Here, the evaluation of an object recognition algorithm has the basis on searching an object in a synthetic scene. More specifically, an object is selected, and then the synthetic scene under a specific condition is generated by using images, affected by that condition, of that object and other objects in the database. When generating the synthetic scene, the other objects are randomly selected and all objects are naturally distributed in the synthetic scene. Let us refer to this synthetic scene as a Virtual Scene. Then the performance of object recognition algorithms for the specific condition can be analyzed by using a group of Virtual Scenes in that condition. As an example of utilizing the proposed framework, an object recognition algorithm using the scale-invariant feature transform [2] has been evaluated and analyzed in the case of changing the viewing direction, illumination color, and illumination direction.

关键词： Object recognition Image databases Layout Lighting Algorithm design and analysis Performance analysis computer vision Face recognition Libraries Image 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500页 << < 414 415 416 417 418 419 420 421 422 423 > >>

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：