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

6,854 篇 英文
2 篇 其他
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4051-4060 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：

Stereo vision-based approaches for Pedestrian Detection

Stereo Vision-based approaches for Pedestrian Detection

引用

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

作者： M. Bertozzi E. Binelli A. Broggi M.D. Rose Dip. Ingegneria dell'Informazione Università di Parma Parma ITALY

This paper describes a system for pedestrian detection in stereo infrared images. The system is based on three different underlying approaches: warm area detection, edgebased detection, and v-disparity computation. Stereo is also used for computing the distance and size of detected objects. A final validation process is performed using head morphological and thermal characteristics. Neither temporal correlation, nor motion cues are used in this processing. The developed system has been implemented on an experimental vehicle equipped with two infrared camera and preliminarily tested in different situations.

关键词： Image edge detection Infrared detectors Infrared imaging Object detection Temperature Magnetic heads Vehicles Cameras Shape Humans

来源：评论

学校读者我要写书评

暂无评论

Boosting nearest neighbor classifiers for multiclass recognition

Boosting nearest neighbor classifiers for multiclass recogni...

引用

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

作者： V. Athitsos S. Sclaroff Computer Science Department Boston University Boston MA USA

Nearest neighbor classifiers are a popular method for multiclass recognition in a wide range of computer vision and pattern recognition domains. At the same time, the accuracy of nearest neighbor classi?ers is sensitive to the choice of distance measure. This paper introduces an algorithm that uses boosting to learn a distance measure for multiclass k-nearest neighbor classification. Given a family of distance measures as input, AdaBoost is used to learn a weighted distance measure, that is a linear combination of the input measures. The proposed method can be seen both as a novel way to learn a distance measure from data, and as a novel way to apply boosting to multiclass recognition problems that does not require output codes. In our approach, multiclass recognition of objects is reduced to a single binary recognition task, defined on triples of objects. Preliminary experiments with eight UCI datasets yield no clear winner among our method, boosting using output codes, and k-nn classification using an unoptimized distance measure. Our algorithm did achieve lower error rates in some of the datasets, which indicates that it is a method worth considering for nearest neighbor recognition in various pattern recognition domains.

关键词： Boosting Nearest neighbor searches pattern recognition computer vision Optimization methods Error analysis Face recognition Nonlinear optics Optical character recognition software Optical sensors

来源：评论

学校读者我要写书评

暂无评论

Multi-Planar Projection by Fixed-Center Pan-Tilt Projectors

Multi-Planar Projection by Fixed-Center Pan-Tilt Projectors

引用

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

作者： I. Mitsugami N. Ukita M. Kidode Nara Institute of Science and Technology Ikoma Nara Japan

We describe a new steerable projector, whose projection center precisely corresponds with its rotation center, which we call a "fixed-center pan-tilt (FC-PT) projector." This mechanism allows it be set up more easily to display graphics precisely on the planes in the environment than for other steerable projectors; wherever we would like to display graphics, all we have to do are locating the FC-PT projector in the environment, and directing it to the corners of the planes whose 2D sizes have been measured. Moreover, as the FC-PT projector can recognize automatically whether each plane is connected to others, it can display visual information that lies across the boundary line of two planes in a similar way to a paper poster folded along the planes.

关键词： Graphics computer displays Two dimensional displays computer vision Position measurement Distortion measurement Predistortion Calibration pattern recognition Rotation measurement

来源：评论

学校读者我要写书评

暂无评论

Selective Attention in the Learning of Invariant Representation of Objects

Selective Attention in the Learning of Invariant Representat...

引用

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

作者： Muhua Li J.J. Clark Centre for Intelligent Machines McGill University Montreal QUE Canada

Selective attention plays an important role in visual processing in reducing the problem scale and in actively gathering useful information. We propose a modified saliency map mechanism that uses a simple top-down taskdependent cue to allow attention to stay mainly on one object in the scene each time for the first few shifts. Such a modification allows the learning of invariant object representations across attention shifts in a multiple-object scene. In this paper, we will first introduce this saliency map mechanism and then propose a neural network model to learn invariant representations for objects across attention shifts in a temporal sequence.

关键词： Layout Visual system Retina Humans Focusing Neural networks Information analysis Eyes Psychology Object recognition

来源：评论

学校读者我要写书评

暂无评论

Steerable Projector Calibration

Steerable Projector Calibration

引用

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

作者： M. Ashdown Y. Sato Institute of Industrial Science University of Tokyo Meguro Tokyo Japan

A steerable projector is a digital projector whose beam can be moved under computer control to illuminate different objects in its environment. Various projects have explored the possibilities of steerable projectors but they have not addressed the calibration of a generalized optical and mechanical system. We present a method for calibrating a device comprised of a projector and a pan-tilt mirror. It starts by obtaining the internal parameters of a camera and the projector, then the pan-tilt mirror is placed in a series of positions and for each one the reflected projector position is calculated from a pattern projected onto a planar surface. From those readings a coarse version of the steerable projector parameters is obtained, which is then iteratively refined. We describe real results from our physical setup and a range of results from simulated data to characterize the performance of our algorithm.

关键词： Calibration Mirrors computer displays computer graphics Optical sensors computer vision computer industry Industrial control Mechanical systems Cameras

来源：评论

学校读者我要写书评

暂无评论

Feature-level fusion in personal identification

Feature-level fusion in personal identification

引用

conference on computer vision and pattern recognition (cvpr)

作者： Yongsheng Gao M. Maggs School of Microelectronic Engineering Griffith University Brisbane Australia

The existing studies of multi-modal and multi-view personal identification focused on combining the outputs of multiple classifiers at the decision level. In this study, we investigated the fusion at the feature level to combine multiple views and modals in personal identification. A new similarity measure is proposed, which integrates multiple 2D view features representing a visual identity of a 3D object seen from different viewpoints and from different sensors. The robustness to non-rigid distortions is achieved by the proximity correspondence manner in the similarity computation. The feasibility and capability of the proposed technique for personal identification were evaluated on multiple view human faces and palmprints. This research demonstrates that the feature-level fusion provides a new way to combine multiple modals and views for personal identification.

关键词： Fingerprint recognition Face recognition Speech Robustness Biometrics Bayesian methods Clustering algorithms Microelectronics Distortion measurement Sensor phenomena and characterization

来源：评论

学校读者我要写书评

暂无评论

Ordinal palmprint represention for personal identification [represention read representation]

Ordinal palmprint represention for personal identification [...

引用

conference on computer vision and pattern recognition (cvpr)

作者： Zhenan Sun Tieniu Tan Yunhong Wang S.Z. Li Center for Biometrics and Security Research National Laboratory of Pattern Recognition Institute of Automation Chinese Academy and Sciences Beijing China School of Computer Science and Engineering Beihang University China

Palmprint-based personal identification, as a new member in the biometrics family, has become an active research topic in recent years. Although great progress has been made, how to represent palmprint for effective classification is still an open problem. In this paper, we present a novel palmprint representation - ordinal measure, which unifies several major existing palmprint algorithms into a general framework. In this framework, a novel palmprint representation method, namely orthogonal line ordinal features, is proposed. The basic idea of this method is to qualitatively compare two elongated, line-like image regions, which are orthogonal in orientation and generate one bit feature code. A palmprint pattern is represented by thousands of ordinal feature codes. In contrast to the state-of-the-art algorithm reported in the literature, our method achieves higher accuracy, with the equal error rate reduced by 42% for a difficult set, while the complexity of feature extraction is halved.

关键词： Biometrics Fingerprint recognition pattern recognition Feature extraction Face recognition computer vision National security Laboratories Automation computer science

来源：评论

学校读者我要写书评

暂无评论

A sparse object category model for efficient learning and exhaustive recognition

A sparse object category model for efficient learning and ex...

引用

conference on computer vision and pattern recognition (cvpr)

作者： R. Fergus P. Perona A. Zisserman Department of Engineering Science University of Oxford Oxford UK Department of Electrical Engineering California Institute of Technology Pasadena CA USA

We present a "parts and structure" model for object category recognition that can be learnt efficiently and in a semi-supervised manner: the model is learnt from example images containing category instances, without requiring segmentation from background clutter. The model is a sparse representation of the object, and consists of a star topology configuration of parts modeling the output of a variety of feature detectors. The optimal choice of feature types (whose repertoire includes interest points, curves and regions) is made automatically. In recognition, the model may be applied efficiently in an exhaustive manner, bypassing the need for feature detectors, to give the globally optimal match within a query image. The approach is demonstrated on a wide variety of categories, and delivers both successful classification and localization of the object within the image.

关键词： computer vision Image recognition Detectors Image edge detection Image segmentation Topology Object detection Optimal matching Region 1 Cats

来源：评论

学校读者我要写书评

暂无评论

Automatic Eye Detection and Its Validation

Automatic Eye Detection and Its Validation

引用

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

作者： Peng Wang M.B. Green Qiang Ji J. Wayman Department of Electrical Computer and System Engineering Rensselaer Polytechnic Institute Troy NY USA San José State University San Jose CA USA

The accuracy of face alignment affects the performance of a face recognition system. Since face alignment is usually conducted using eye positions, an accurate eye localization algorithm is therefore essential for accurate face recognition. In this paper, we first study the impact of eye locations on face recognition accuracy, and then introduce an automatic technique for eye detection. The performance of our automatic eye detection technique is subsequently validated using FRGC 1.0 database. The validation shows that our eye detector has an overall 94.5% eye detection rate, with the detected eyes very close to the manually provided eye positions. In addition, the face recognition performance based on the automatic eye detection is shown to be comparable to that of using manually given eye positions.

关键词： Face recognition Face detection Databases Pixel Robustness Eyes Principal component analysis computer errors Systems engineering and theory Detectors

来源：评论

学校读者我要写书评

暂无评论

Detection of Anchor Points for 3D Face ***

引用

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

作者： D. Colbry G. Stockman Anil Jain Department of Computer Science and Engineering Michigan State University East Lansing MI USA

This paper outlines methods to detect key anchor points in 3D face scanner data. These anchor points can be used to estimate the pose and then match the test image to a 3D face model. We present two algorithms for detecting face anchor points in the context of face verification; One for frontal images and one for arbitrary pose. We achieve 99% success in finding anchor points in frontal images and 86% success in scans with large variations in pose and changes in expression. These results demonstrate the challenges in 3D face recognition under arbitrary pose and expression. We are currently working on robust ?tting algorithms to localize more precisely the anchor points for arbitrary pose images.

关键词： Face detection Shape Face recognition Iterative closest point algorithm Testing pattern recognition Nose Mouth computer science Data engineering

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 << < 402 403 404 405 406 407 408 409 410 411 > >>

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：