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

1,926 篇 会议
236 册 图书
24 篇 期刊文献

馆藏范围

2,185 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

1,605 篇 工学
- 1,333 篇 计算机科学与技术...
- 466 篇 软件工程
- 250 篇 电气工程
- 235 篇 机械工程
- 186 篇 光学工程
- 178 篇 信息与通信工程
- 119 篇 控制科学与工程
- 96 篇 生物工程
- 62 篇 生物医学工程（可授...
- 41 篇 仪器科学与技术
- 38 篇 电子科学与技术（可...
- 30 篇 化学工程与技术
- 21 篇 安全科学与工程
- 18 篇 材料科学与工程（可...
- 15 篇 交通运输工程
- 13 篇 建筑学
444 篇 理学
- 257 篇 物理学
- 202 篇 数学
- 110 篇 生物学
- 57 篇 统计学（可授理学、...
- 22 篇 化学
228 篇 医学
- 200 篇 临床医学
- 26 篇 基础医学(可授医学...
- 22 篇 特种医学
137 篇 管理学
- 83 篇 图书情报与档案管...
- 60 篇 管理科学与工程(可...
- 19 篇 工商管理
27 篇 艺术学
- 27 篇 设计学（可授艺术学...
16 篇 农学
- 15 篇 作物学
15 篇 法学
- 13 篇 社会学
9 篇 教育学
7 篇 经济学
5 篇 文学
5 篇 军事学

主题

320 篇 computer vision
286 篇 pattern recognit...
166 篇 artificial intel...
119 篇 feature extracti...
117 篇 computer imaging...
101 篇 image processing...
82 篇 face recognition
68 篇 training
61 篇 object detection
60 篇 image segmentati...
57 篇 computer applica...
54 篇 deep learning
51 篇 robustness
47 篇 computer graphic...
46 篇 cameras
45 篇 visualization
43 篇 semantics
38 篇 object recogniti...
37 篇 shape
36 篇 information syst...

机构

89 篇 univ chinese aca...
67 篇 chinese acad sci...
59 篇 national laborat...
56 篇 chinese acad sci...
50 篇 univ chinese aca...
36 篇 chinese univ hon...
36 篇 university of ch...
31 篇 institute of aut...
27 篇 chinese acad sci...
25 篇 school of artifi...
23 篇 univ sci & techn...
22 篇 chinese academy ...
18 篇 chinese acad sci...
17 篇 chinese univ hon...
16 篇 chinese acad sci...
16 篇 univ chinese aca...
15 篇 national laborat...
15 篇 computer vision ...
14 篇 tsinghua univers...
14 篇 department of in...

作者

32 篇 wang xiaogang
29 篇 lu hanqing
28 篇 tan tieniu
28 篇 wang jinqiao
23 篇 li stan z.
22 篇 pal umapada
21 篇 huang kaiqi
21 篇 lei zhen
21 篇 qiao yu
19 篇 tieniu tan
19 篇 hu weiming
18 篇 tang xiaoou
17 篇 xilin chen
15 篇 wang liang
15 篇 chen xilin
15 篇 cheng jian
14 篇 liu jing
14 篇 tang ming
13 篇 xiaoou tang
13 篇 shiguang shan

语言

2,165 篇 英文
19 篇 中文
7 篇 其他
1 篇 土耳其文

检索条件"任意字段=7th Chinese Conference on Pattern Recognition and Computer Vision"

共 2186 条记录，以下是541-550 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：

Edge-Aware Monocular Dense Depth Estimation with Morphology 25

Edge-Aware Monocular Dense Depth Estimation with Morphology

引用

25th International conference on pattern recognition (ICPR)

作者： Li, Zhi Zhu, Xiaoyang Yu, Haitao Zhang, Qi Jiang, Yongshi Univ Chinese Acad Sci Sch Artificial Intelligence Beijing Peoples R China Chinese Acad Sci Inst Automat Beijing Peoples R China

ISBN: (纸本)9781728188089

Dense depth maps play an important role in computer vision and AR (Augmented Reality). For CV applications, a dense depth map is the cornerstone of 3D reconstruction allowing real objects to be precisely displayed in the computer. And Dense depth maps can handle correct occlusion relationships between virtual content and real objects for better user experience in AR. However, the complicated computation limits the development of computing dense depth maps. We present a novel algorithm that produces low latency, spatio-temporally smooth dense depth maps using only a CPU. the depth maps exhibit sharp discontinuities at depth edges in low computational complexity ways. Our algorithm obtains the sparse SLAM reconstruction first, then extracts coarse depth edges from a down-sampled RGB image by morphology operations. Next, we thin the depth edges and align them with image edges. Finally, an effective initialization scheme and an improved optimization solver are adopted to accelerate convergence. We evaluate our proposal quantitatively and the result shows improvements on the accuracy of depth map with respect to other state-of-the-art and baseline techniques.

关键词： Augmented reality

来源：评论

学校读者我要写书评

暂无评论

Video pupil tracking for iris based identification

Video pupil tracking for iris based identification

引用

7th International conference on Advanced Concepts for Intelligent vision Systems

作者： Ketchantang, W Derrode, S Bourennane, S Martin, L Univ Paul Cezanne Inst Fresnel CNRS UMR 6133 F-13013 Marseille France ST Microelect F-13106 Rousset France

ISBN: (纸本)354029032X

Currently, iris identification systems are not easy to use since they need a strict cooperation of the user during the snapshot acquisition process. Several acquisitions are generally needed to obtain a workable image of the iris for recognition purpose. To make the system more flexible and open to large public applications, we propose to work on the entire sequence acquired by a camera during the enrolment. Hence the recognition step can be applied on a selected number of the "best workable images" of the iris within the sequence. In this context, the aim of the paper is to present a method for pupil tracking based on a dynamic Gaussian Mixture Model (GMM) together with Kalman prediction of the pupil position along the sequence. the method has been experimented on a real video sequence captured by a near Infra-Red (IR) sensitive camera and has shown its effectiveness in nearly real time computing.

关键词： pattern recognition

来源：评论

学校读者我要写书评

暂无评论

A robust fingerprint matching method

A robust fingerprint matching method

引用

7th IEEE Workshop on Applications of computer vision, WACV 2005

作者： Jin, Qi Zhongchao, Shi Xuying, Zhao Yangsheng, Wang National Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences Beijing 100080 China

ISBN: (纸本)0769522718

this paper is concerned with an accurate and efficient fingerprint matching method. We have two main contributions: 1. we define a novel feature vector for each fingerprint minutia based on the global orientation field estimated from the fingerprint impression. these features are used to identify corresponding minutiae between two fingerprint impressions by computing the Euclidean distance between these feature vectors. 2. a novel distortion-tolerant matching algorithm based on the closest triangle is developed. Furthermore, the fingerprint directional field is also used to compute the final matching score combining with minutiae elaborately. A series of experiments conducted on the public data collection, FVC2002 DB3 set A (800 fingerprints), demonstrates the effectiveness of our method.

关键词： pattern matching

来源：评论

学校读者我要写书评

暂无评论

Comparing intensity transformations and their invariants in the context of color pattern recognition 7

Comparing intensity transformations and their invariants in ...

引用

7th European conference on computer vision, ECCV 2002

作者： Mindru, Florica Moons, theo Gool, Luc Van Katholieke Universiteit Leuven ESAT–PSI Leuven Belgium Katholieke Universiteit Brussel Brussel Belgium Swiss Federal Institute of Technology ETH –BIWI Zürich Switzerland

ISBN: (纸本)9783540437482

In this paper we compare different ways of representing the photometric changes in image intensities caused by changes in illumination and viewpoint, aiming at a balance between goodness-of-fit and low complexity. We derive invariant features based on generalized color moment invariants – that can deal with geometricand photometricchanges of a planar pattern – corresponding to the chosen photometric models. the geometric changes correspond to a perspective skew. We compare the photometricmodels also in terms of the invariants’ discriminative power and classification performance in a pattern recognition system. © Springer-Verlag Berlin Heidelberg 2002

关键词： Photometry

来源：评论

学校读者我要写书评

暂无评论

End-to-End Detection and recognition of Arithmetic Expressions 4th

End-to-End Detection and Recognition of Arithmetic Expressio...

引用

4th chinese conference on pattern recognition and computer vision (PRCV)

作者： Wan, Jiangpeng Zhao, Mengbiao Yin, Fei Zhang, Xu-Yao Huang, LinLin Beijing Jiaotong Univ Beijing 100044 Peoples R China Chinese Acad Sci Natl Lab Pattern Recognit Inst Automat Beijing 100190 Peoples R China Univ Chinese Acad Sci Sch Artificial Intelligence Beijing 100049 Peoples R China

ISBN: (纸本)9783030880040;9783030880033

the detection and recognition of handwritten arithmetic expressions (AEs) play an important role in document retrieval [ 21] and analysis. they are very difficult because of the structural complexity and the variability of appearance. In this paper, we propose a novel framework to detect and recognize AEs in an End-to-End manner. Firstly, an AE detector based on EfficientNet-B1 [17] is designed to locate all AE instances efficiently. Upon AE location, the RoI Rotate module [11] is adopted to transform visual features for AE proposals. the transformed features are then fed into an attention mechanism based recognizer for AE recognition. the whole network for detection and recognition is trained End-to-End on document images annotated AE locations and transcripts. Since the datasets in this field are rare, we also construct a dataset named HAED, which contains 1069 images (855 for training, and 214 for testing). Extensive experiments on two datasets (HAED and TFD-ICDAR 2019) show that the proposed method has achieved competitive performance on both datasets.

关键词： Arithmetic expression spotting End-to-End training Sequence-to-sequence

来源：评论

学校读者我要写书评

暂无评论

pattern recognition: 37th German conference, GCPR 2015 Aachen, Germany, October 7-10, 2015 Proceedings 37th

Pattern Recognition: 37th German Conference, GCPR 2015 Aache...

引用

37th German conference on pattern recognition, GCPR 2015

作者： Gall, Juergen Gehler, Peter Leibe, Bastian Institute of Computer Science III University of Bonn Bonn Germany MPI for Intelligent Systems University of Tübingen Tübingen Germany Computer Vision Group Visual Computing Institute RWTH Aachen Aachen Germany

来源：评论

学校读者我要写书评

暂无评论

Facial Expression recognition for Different Pose Faces Based on Special Landmark Detection 24

Facial Expression Recognition for Different Pose Faces Based...

引用

24th International conference on pattern recognition (ICPR)

作者： Wu, Wenqi Yin, Yingjie Wang, Yingying Wang, Xingang Xu, De Chinese Acad Sci Inst Automat Res Ctr Precis Sensing & Control Beijing 100190 Peoples R China Univ Chinese Acad Sci Beijing 101408 Peoples R China

ISBN: (纸本)9781538637883

Facial expression recognition is a challenging task in computer vision field using only single facial image. As we know, human faces are convex spheres. the self-occlusion phenomenon generated from face pose will seriously affect the accuracy of expression recognition. In order to solve this problem, we propose a novel facial expression recognition method for different pose faces based on special landmark detection (FER-MPI-SFL). Our method is based on two shared networks. the outputs of the first Network are 29 special landmarks and 1 face box, which are the inputs of the second network and used to estimate face pose. the methods of RoIAlign and feature map concatenation are introduced in the second network to recognize the facial expression. the weight allocation of feature maps concatenation is guided by the result of pose estimation. In addition, an improved center loss is proposed to make the distances between the features of different expressions larger and easier to be classified in the feature space. As a result, superior performance to other state-of-the-art methods is achieved in facial expression databases CK+, MMI, Oulu-CASIA VIS and a new created database CASIA-MFE which contains more faces with different poses.

关键词： Facial Expression recognition Deep Learning Deep Convolutional Neural Network Landmark Detection

来源：评论

学校读者我要写书评

暂无评论

Advances in Image and Graphics Technologies: 10th chinese conference, IGTA 2015, Beijing, China, June 19-20, 2015, Proceedings 1

引用

丛书名： Communications in computer and information science 525

2015年

作者： Tieniu Tan, Qiuqi Ruan, Shengjin Wang, Huimin Ma, Kaichang Di (eds.)

ISBN: (数字)9783662477915

ISBN: (纸本)9783662477908;9783662477915

this book constitutes the refereed proceedings of the 10th chinese conference on Advances in Image and Graphics Technologies, IGTA 2015, held in Beijing, China, in June 2015. the 50 papers presented were carefully reviewed and selected from 138 submissions. they provide a forum for sharing new aspects of the progresses in the areas of image processing technology, image analysis und understanding, computer vision and pattern recognition, big data mining, computer graphics and VR, image technology application.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Spindle-Net: CNNs for Monocular Depth Inference with Dilation Kernel Method 24

Spindle-Net: CNNs for Monocular Depth Inference with Dilatio...

引用

24th International conference on pattern recognition (ICPR)

作者： He, Lei Yu, Miao Wang, Guanghui Chinese Acad Sci Inst Automat Natl Lab Pattern Recognit Beijing 100190 Peoples R China Univ Chinese Acad Sci Beijing 100049 Peoples R China Zhongyuan Univ Technol Sch Elect & Informat Engn Zhengzhou 450007 Henan Peoples R China Univ Kansas Dept Elect Engn & Comp Sci Lawrence KS 66045 USA

ISBN: (纸本)9781538637883

Learning depth from a single image is an important issue in computer vision. To solve this problem, encoder-decoder architect is usually employed as a powerful architecture to learn the dense corresponding function. In this work, we propose a symmetrical Spindle network of the encoder-decoder to learn the fine-grained depth. Unlike traditional convolution neural network, we first boost up the feature maps from low-dimension space to a high-dimension space, then extract the features for monocular depth learning. In order to overcome limitation of the computer memory, a single image super-resolution technique is proposed to replace the boosting process by fusing local cues in edge direction. Given the super-resolution images, the monocular depth learning needs more global information than most architectures for pixel-wise predictions. To address this issue, dilation kernel method is proposed to enlarge the receptive field in each layer. For the task of the super-resolution, the proposed method achieves better performance than the state-of-the-art methods. Extensive experiments on the monocular depth inference demonstrate that the Spindle network could achieve comparable performance on the NYU and Make3D datasets, compared with the state-of-the-art algorithms. the proposed method reveals a new perspective to learn the depth from a single image, which shows a promising generality to other pixel-wise prediction problems.

关键词： Convolution Image resolution Kernel Feature extraction Neural networks computer architecture Task analysis

来源：评论

学校读者我要写书评

暂无评论

Automatic Detection and Fitting of Ellipse Markers Using EllipseNet 26

Automatic Detection and Fitting of Ellipse Markers Using Ell...

引用

26th International conference on pattern recognition / 8th International Workshop on Image Mining - theory and Applications (IMTA)

作者： Qian, Zhengda Tang, Fulin Liu, Bingxi Fu, Yujie Wu, Shaohuan Jia, Xiaohong Wu, Yihong Chinese Acad Sci Inst Automat Natl Lab Pattern Recognit Beijing Peoples R China Univ Chinese Acad Sci Sch Artificial Intelligence Beijing Peoples R China Shandong Univ Sch Math & Stat Jinan Shandong Peoples R China Chinese Acad Sci Acad Math & Syst Sci Beijing Peoples R China

ISBN: (数字)9781665490627

ISBN: (纸本)9781665490627

Ellipses are important elements in projective geometry. Accurate extraction of ellipse information is the first step in many computer vision applications, such as ellipse-based camera calibration and camera pose estimation. At present, most ellipse detection algorithms rely on the edge features extracted by Canny, which leads to a number of wrong detection results since non-ellipse edges features are also involved. To address this problem, this paper proposes a novel ellipse marker detection neural network, called EllipseNet. Notably, we propose a new loss function to enhance the rotation perception ability of EllipseNet. Furthermore, a novel ellipse marker data enhancement method is proposed for saving the time cost of labelling ellipse parameters. Experiments show that EllipseNet can improve the detection precision of ellipse regions by more than 3% improvement compared with other SOTA general object detectors.

关键词： Training Costs Image edge detection Pose estimation Neural networks Feature extraction Cameras

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219页 << < 51 52 53 54 55 56 57 58 59 60 > >>

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：