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

84 篇 会议
16 篇 期刊文献

馆藏范围

100 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

73 篇 工学
- 36 篇 计算机科学与技术...
- 33 篇 软件工程
- 17 篇 信息与通信工程
- 16 篇 生物工程
- 15 篇 机械工程
- 13 篇 生物医学工程（可授...
- 11 篇 控制科学与工程
- 9 篇 光学工程
- 6 篇 航空宇航科学与技...
- 5 篇 电气工程
- 4 篇 仪器科学与技术
- 4 篇 电子科学与技术（可...
- 3 篇 力学（可授工学、理...
- 3 篇 建筑学
- 3 篇 土木工程
- 3 篇 交通运输工程
- 3 篇 安全科学与工程
- 1 篇 农业工程
37 篇 理学
- 20 篇 数学
- 13 篇 物理学
- 13 篇 生物学
- 3 篇 系统科学
- 3 篇 统计学（可授理学、...
14 篇 管理学
- 11 篇 图书情报与档案管...
- 3 篇 管理科学与工程(可...
4 篇 农学
- 4 篇 作物学
2 篇 法学
- 2 篇 社会学
2 篇 医学
2 篇 军事学
2 篇 艺术学
- 2 篇 设计学（可授艺术学...
1 篇 经济学
- 1 篇 应用经济学
1 篇 文学
- 1 篇 外国语言文学

主题

14 篇 feature extracti...
12 篇 face recognition
8 篇 face
7 篇 biometrics
7 篇 principal compon...
6 篇 remote sensing
5 篇 support vector m...
5 篇 cameras
5 篇 pattern recognit...
5 篇 databases
5 篇 image processing
5 篇 humans
5 篇 robustness
4 篇 legged locomotio...
3 篇 probes
3 篇 motion planning
3 篇 discrete wavelet...
3 篇 wavelet analysis
3 篇 estimation
3 篇 image recognitio...

机构

18 篇 intelligent reco...
17 篇 laboratory of in...
7 篇 laboratory of in...
7 篇 laboratory of in...
3 篇 intelligent reco...
3 篇 school of comput...
3 篇 institute of ima...
3 篇 college of life ...
3 篇 shanghai jiao to...
3 篇 intelligent reco...
3 篇 laboratory of in...
3 篇 institute for pa...
2 篇 state education ...
2 篇 center for resea...
2 篇 state key lab. f...
2 篇 inst. for patter...
2 篇 hubei university...
2 篇 institute for pa...
2 篇 lab of intellige...
1 篇 department of au...

作者

29 篇 yunhong wang
26 篇 wang yunhong
12 篇 zhaoxiang zhang
11 篇 zhang zhaoxiang
10 篇 huang di
9 篇 di huang
7 篇 yun-hong wang
6 篇 de zhang
5 篇 zhang de
4 篇 cai chao
4 篇 ding mingyue
3 篇 chen liming
3 篇 yang yang
3 篇 shen hong-bin
3 篇 li shidong
3 篇 roberto arenas l...
2 篇 chen gong
2 篇 蔡超
2 篇 张天序
2 篇 丁名跃

语言

100 篇 英文

检索条件"机构=Lab of Intelligent Recognition and Image Processing Beihang University"

共 100 条记录，以下是61-70 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：

Enhancing biometric security with wavelet quantization watermarking based two-stage multimodal authentication

Enhancing biometric security with wavelet quantization water...

引用

International Conference on Pattern recognition

作者： Bin Ma Chunlei Li Yunhong Wang Zhaoxiang Zhang Di Huang Intelligent Recognition and Image Processing Lab Beijing Key Laboratory of Digital Media School of Computer Science and Engineering Beihang University Beijing China

ISBN: (纸本)9781467322164

In this paper we propose a watermarking based two-stage authentication framework to enhance biometric system security. The face feature of one individual is embedded into his/her fingerprint image as credibility token. During authentication, the watermark is first extracted to establish data authenticity. If legitimate, the face pattern can further serve as supplemental trait in biometric authentication progress. A wavelet quantization based watermarking method is proposed to robustly embed information in fingerprints while preserving their discriminating features. Meanwhile, a sparse representation based classifier is adopted to efficiently exploit the identity information within face watermarks. Experimental results which evaluate both watermarking and biometric authentication performance demonstrate the effectiveness of this work.

关键词： Watermarking Face Authentication Robustness Quantization Pattern recognition

来源：评论

学校读者我要写书评

暂无评论

A point-pattern matching method based on maximal subset of one-to-one mapping

A point-pattern matching method based on maximal subset of o...

引用

MIPPR 2009 - Pattern recognition and Computer Vision: 6th International Symposium on Multispectral image processing and Pattern recognition

作者： Hu, Jing Zhang, Tian-Xu Institute for Pattern Recognition and AI Hua Zhong University of Science and Technology Wuhan 430074 China Key Lab. of Education Ministry for Image Processing and Intelligent Control Hua Zhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9780819478078

This paper presents a new affine registration approach for planar point pattern matching. A process of parameter space clustering is implemented to confirm a one-to-one mapping between the maximal subsets of feature point sets in images. For a best performance, a coarse parameter space and a fine parameter space are used for vectors comparison. Experiments show that the method can produce positive results from a small number of feature points and intensive noise. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： Affine transforms

来源：评论

学校读者我要写书评

暂无评论

A novel panoramic image stitching algorithm based on ORB

A novel panoramic image stitching algorithm based on ORB

引用

2017 IEEE International Conference on Applied System Innovation, ICASI 2017

作者： Wang, Maosen Niu, Shaozhang Yang, Xuan Beijing Key Lab of Intelligent Telecommunication Software and Multimedia Beijing University of Posts and Telecommunications Beijing100876 China Institute of Image Processing and Pattern Recognition North China University of Technology No.5 Jinyuanzhuang Road Shijingshan District Beijing China

ISBN: (纸本)9781509048977

image stitching technique is to integrate multiple images with overlapping regions into a complete image with a wide viewing angle, less distortion, and no obvious suture. image stitching could be used for global positioning and robot autonomous navigation without changing the hardware. SIFT feature and SURF feature are the classical algorithm in the image stitching. But they have the long time-consuming problem. Facing this problem, a novel fast image stitching algorithm based on ORB (Oriented FAST and Rotated BRIEF) features is proposed in this paper. The algorithm firstly selects ORB algorithm which adds the direction information to the FAST detector for image feature extracting and matching. Secondly, RASANC (Random Sample Consensus) algorithm is used to eliminate false matching points. Finally, weighted average method is used to speed up the image fusion. Experimental results show that the stitching effect of the algorithm in this paper is the same as that of SIFT algorithm and SURF algorithm. The two obvious advantages of our algorithm include: (1) stitching speed is much faster than that of Shift and Surf;(2)The algorithm is robust to external parameters of camera. So the proposed algorithm is hopefully applied to some handed electrical devices. © 2017 IEEE.

关键词： image fusion

来源：评论

学校读者我要写书评

暂无评论

Cross-view object classification in traffic scene surveillance based on transductive transfer learning

Cross-view object classification in traffic scene surveillan...

引用

IEEE International Conference on image processing

作者： Yi Mo Zhaoxiang Zhang Yunhong Wang Laboratory of Intelligent Recognition and Image Processing Beijing Key Laboratory of Digital Media School of Computer Science and Engineering Beihang University Beijing China

Object classification in traffic scene surveillance has been a hot topic in image processing field. A big challenge is that shooting view changes in different scenes, which leads to sharp accuracy decrease since training and test samples do not share the same distribution. Inductive transfer learning methods try to bridge this gap by making use of manually labeled target samples. However, it is in line with reality to conduct unsupervised transfer without manually labeling. In this paper, we propose an intuitive transductive transfer method by transferring instances across view. Experimental results indicate that our method outperforms traditional approaches such as inductive SVM and cluster method, and could even achieve a comparable performance compared with manually labeling approach.

关键词： Support vector machines Surveillance Training Accuracy labeling image edge detection Feature extraction

来源：评论

学校读者我要写书评

暂无评论

Face synthesis from near-infrared to visual light via sparse representation

Face synthesis from near-infrared to visual light via sparse...

引用

IEEE International Joint Conference on Biometrics (IJCB)

作者： Zeda Zhang Yunhong Wang Zhaoxiang Zhang Laboratory of Intelligent Recognition and Image Processing Beijing Key Laboratory of Digital Media School of Computer Science and Engineering Beihang University Beijing China

This paper presents a novel method for synthesizing artificial visual light (VIS) face images from near-infrared (NIR) inputs. Active NIR imaging is now widely employed because it is unobtrusive, invariant of environmental illuminations, and can penetrate glasses and sweats. Unfortunately, NIR imaging exhibits discrepant photic properties compared with VIS imaging. Based on recent results of re search on compressive sensing, natural images can be compressed and recovered with an overcomplete dictionary by sparse representation coefficients. In our approach a pair wise dictionary is trained from randomly sampled coupled face patches, which contains sparse coded base functions to reconstruct representation coefficients via l 1 -minimization. We will demonstrate that this method is robust to moderate pose and expression variations, and is efficient in computing. Comparative experiments are conducted with state-of the-art algol 1 -minimization. We will demonstraterithms.

关键词： Training Principal component analysis Encoding Educational institutions Accuracy

来源：评论

学校读者我要写书评

暂无评论

Hierarchical and discriminative bag of features for face profile and ear based gender classification

Hierarchical and discriminative bag of features for face pro...

引用

IEEE International Joint Conference on Biometrics (IJCB)

作者： Guangpeng Zhang Yunhong Wang Laboratory of Intelligent Recognition and Image Processing Beijing Key Laboratory of Digital Media School of Computer Science and Engineering Beihang University Beijing China

ISBN: (纸本)9781457713583

Gender is an important demographic attribute of human beings, automatic face based gender classification has promising applications in various fields. Previous methods mainly deal with frontal face images, which in many cases can not be easily obtained. In contrast, we concentrate on gender classification based on face profiles and ear images in this paper. Hierarchical and discriminative bag of features technique is proposed to extract powerful features which are classified by support vector classification (SVC) with histogram intersection kernel. With the output of SVC, fusion of multi-modalities is performed at the score level based on Bayesian analysis to improve the accuracy. Experiments are conducted using texture images of the UND biometrics data sets Collection F, and average classification accuracy of 97.65% is achieved, which is comparable to the state of the art. Our work can be used in cooperate with existing frontal face based methods for accurate multi- view gender classification.

关键词： Educational institutions

来源：评论

学校读者我要写书评

暂无评论

A robust infrared face recognition method based on adaboost gabor features

A robust infrared face recognition method based on adaboost ...

引用

International Conference on Wavelet Analysis and Pattern recognition (ICWAPR)

作者： Di Huang Yun-Hong Wang Yi-Ding Wang Intelligent Recognition and Image Processing Laboratory School of Computer Science and Engineering Beihang University Beijing China Chinese Academy of Sciences Beijing China

Face recognition is one of the most successful applications in biometric authentication. However, methods reported in the literature are far from perfect and deteriorate ungracefully where lighting condition cannot be controlled. This paper presents a new robust method for face recognition under near infrared lighting condition based on AdaBoost Gabor features with linear discriminant analysis classification (ALGabor), which solves the problems produced by variations of illumination rightly, since the NIR images are insensitive to variations of environmental lighting, and Gabor wavelets can extract adequate features form the images. To gain the qualified NIR images, a device has been designed. Gabor wavelets are used to extract the features form the NIR images. Although Gabor feature vectors often have very high dimensions, a classifier has been trained using the AdaBoost algorithm to select the most representative feature. Compared with the huge number of features produced by typical Gabor wavelets, the classifier in this paper only selects hundreds of features, which saves computation and time cost significantly. The comparison between the results of the method in this paper and several classic algorithms proves the effectiveness of the proposed method.

关键词： Robustness Face recognition Feature extraction Biometrics Authentication Lighting control Infrared imaging Linear discriminant analysis Wavelet analysis Computational efficiency

来源：评论

学校读者我要写书评

暂无评论

A hierarchical framework for image-based human age estimation by weighted and OHRanked Sparse Representation-based classification

A hierarchical framework for image-based human age estimatio...

引用

IAPR International Conference on Biometrics (ICB)

作者： Weixin Li Yunhong Wang Zhaoxiang Zhang Laboratory of Intelligent Recognition and Image Processing Beijing Key Laboratory of Digital Media School of Computer Science and Engineering Beihang University Beijing China

Human age estimation based on face images can figure in a wide variety of real-world applications. In this paper, we propose a novel and efficient facial age estimation algorithm which decides human age in a hierarchical framework. Biologically, human lives can be roughly divided into two stages, the period from birth to adulthood and the period from adulthood to old age, which are quite different from each other in face growth and aging forms. Considering that craniofacial growth occurs mainly in the first stage while keeps basically stable in the second, based on the shape features, the coarse step of the framework determines which age stage the test sample belongs to using a quadratic function. On the other hand, since the face appearance of individuals in the same age group or even of the same age does have some similarities in common, accurate age estimation within the age stage is solved by Sparse Representation-based classification (SRC) in the fine step. However, SRC requires sufficient training samples in each class and in practice this assumption often does not hold, making the performance of age estimation limited. Accordingly, we take use of the idea of Ordinal Hyperplanes Ranker (OHRank) and weights of samples' numbers in each class to solve the aforementioned problem, improving the age estimation results. Results of experiments conducted on the FG-NET Database demonstrate the effectiveness of our method.

关键词： Face Estimation Training Shape Aging Feature extraction Humans

来源：评论

学校读者我要写书评

暂无评论

Age Classification Base on Gait Using HMM

Age Classification Base on Gait Using HMM

引用

International Conference on Pattern recognition

作者： De Zhang Yunhong Wang Bir Bhanu Intelligent Recognition and Image Processing Laboratory School of Computer Science and Engineering Beihang University Beijing China Center of Research in Intelligent Systems University of California Riverside CA USA

In this paper we propose a new framework for age classification based on human gait using Hidden Markov Model (HMM). A gait database including young people and elderly people is built. To extract appropriate gait features, we consider a contour related method in terms of shape variations during human walking. Then the image feature is transformed to a lower-dimensional space by using the Frame to Exemplar (FED) distance. A HMM is trained on the FED vector sequences. Thus, the framework provides flexibility in the selection of gait feature representation. In addition, the framework is robust for classification due to the statistical nature of HMM. The experimental results show that video-based automatic age classification from human gait is feasible and reliable.

关键词： Hidden Markov models Senior citizens Databases Legged locomotion Feature extraction Humans Pixel

来源：评论

学校读者我要写书评

暂无评论

CROSS-VIEW ACTION recognition VIA TRANSDUCTIVE TRANSFER LEARNING

CROSS-VIEW ACTION RECOGNITION VIA TRANSDUCTIVE TRANSFER LEAR...

引用

IEEE International Conference on image processing

作者： Jie Qin Zhaoxiang Zhang Yunhong Wang Laboratory of Intelligent Recognition and Image Processing Beijing Key Laboratory of Digital Media School of Computer Science and Engineering Beihang University Beijing 100191 China

ISBN: (纸本)9781479923427

Human action recognition is a hot topic in computer vision field. Various applicable approaches have been proposed to recognize different types of actions. However, the recognition performance deteriorates rapidly when the viewpoint changes. Traditional approaches aim to address the problem by inductive transfer learning, in which target-view samples are manually labeled. In this paper, we present a novel approach for cross-view action recognition based on transduc-tive transfer learning. We address the problem by transferring instances across views. In our settings, both labels of examples from the target view and the corresponding relation between examples from pairwise views are dispensable. Experimental results on the IXMAS multi-view data set demonstrate the effectiveness of our approach, and are comparable to the state of the art.

关键词： action recognition transfer learning transductive SVM Transfer (Psychology) state of the art target view recognition (Psychology) Learning

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10页 << < 1 2 3 4 5 6 7 8 9 10 > >>

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：