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

569 篇 会议
241 篇 期刊文献
11 册 图书

馆藏范围

821 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

500 篇 工学
- 341 篇 计算机科学与技术...
- 298 篇 软件工程
- 116 篇 信息与通信工程
- 86 篇 生物工程
- 77 篇 光学工程
- 74 篇 机械工程
- 64 篇 控制科学与工程
- 54 篇 生物医学工程（可授...
- 32 篇 化学工程与技术
- 29 篇 仪器科学与技术
- 29 篇 电气工程
- 21 篇 电子科学与技术（可...
- 9 篇 建筑学
- 9 篇 安全科学与工程
- 8 篇 力学（可授工学、理...
- 8 篇 材料科学与工程（可...
- 8 篇 土木工程
298 篇 理学
- 129 篇 数学
- 115 篇 物理学
- 93 篇 生物学
- 39 篇 统计学（可授理学、...
- 33 篇 化学
121 篇 管理学
- 83 篇 图书情报与档案管...
- 45 篇 管理科学与工程(可...
- 13 篇 工商管理
19 篇 医学
- 19 篇 临床医学
- 17 篇 基础医学(可授医学...
- 14 篇 药学(可授医学、理...
17 篇 艺术学
- 17 篇 设计学（可授艺术学...
11 篇 法学
- 11 篇 社会学
4 篇 经济学
2 篇 文学
2 篇 农学
1 篇 教育学

主题

106 篇 pattern recognit...
101 篇 feature extracti...
88 篇 computer vision
81 篇 image segmentati...
67 篇 character recogn...
65 篇 handwriting reco...
62 篇 support vector m...
56 篇 training
46 篇 optical characte...
41 篇 shape
35 篇 accuracy
32 篇 databases
28 篇 histograms
28 篇 testing
27 篇 writing
25 篇 image edge detec...
25 篇 text recognition
25 篇 image recognitio...
21 篇 face recognition
20 篇 hidden markov mo...

机构

206 篇 computer vision ...
43 篇 computer vision ...
42 篇 university of ch...
40 篇 shenzhen key lab...
31 篇 national key lab...
28 篇 faculty of compu...
26 篇 shenzhen key lab...
21 篇 siat branch shen...
19 篇 shanghai ai labo...
18 篇 department of st...
17 篇 computer vision ...
17 篇 computer vision ...
16 篇 sensetime resear...
16 篇 shenzhen key lab...
14 篇 xiamen key labor...
13 篇 school of comput...
12 篇 computer vision ...
12 篇 indian statistic...
11 篇 shanghai artific...
10 篇 department of in...

作者

110 篇 umapada pal
106 篇 pal umapada
59 篇 qiao yu
39 篇 b.b. chaudhuri
32 篇 michael blumenst...
32 篇 palaiahnakote sh...
30 篇 blumenstein mich...
27 篇 yu qiao
27 篇 shivakumara pala...
27 篇 dong chao
26 篇 chaudhuri b.b.
23 篇 u. pal
19 篇 liu xin
18 篇 lu tong
17 篇 wang yali
17 篇 tong lu
16 篇 chanda sukalpa
15 篇 chaudhuri bidyut...
13 篇 fumitaka kimura
13 篇 garain utpal

语言

800 篇 英文
17 篇 其他
4 篇 中文

检索条件"机构=Computer Vision and Pattern Recognition"

共 821 条记录，以下是401-410 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 Spatial Density and Phase Angle Based Correlation for Multi-type Family Photo Identification 5th

A Spatial Density and Phase Angle Based Correlation for Mult...

引用

5th Asian Conference on pattern recognition, ACPR 2019

作者： Grouver, Anaica Shivakumara, Palaiahnakote Kaljahi, Maryam Asadzadeh Chetty, Bhaarat Pal, Umapada Lu, Tong Hemantha Kumar, G. Faculty of Computer Science and Information Technology University of Malaya Kuala Lumpur Malaysia Google Developers Group NASDAQ Bangalore India Computer Vision and Pattern Recognition Unit Indian Statistical Institute Kolkata India National Key Lab for Novel Software Technology Nanjing University Nanjing China University of Mysore MysoreKarnataka India

ISBN: (纸本)9783030412982

Due to change in mindset and living style of humans, the numbers of diversified marriages are increasing all around the world irrespective of race, color, religion and culture. As a result, it is challenging for research community to identify multi type family photos, namely, normal family (family of the same race, religion or culture), multi-culture family (family of different culture, religion or race) from the family and non-family photos (images with friends, colleagues, etc.). In this work, we present a new method that combines spatial density information with phase angle for multi-type family photo classification. The proposed method uses three facial key points, namely, left-eye, right-eye and nose, for the features which are based on color, roughness and wrinkleless of faces, these are prominent for extracting unique cues for classification. The correlations between features of Left & Right Eyes, Left Eye & Nose and Right Eye & Nose are computed for all the faces in an image. This results in feature vectors for respective spatial density and phase angle information. Furthermore, the proposed method fuses the feature vectors and feeds them to the Convolutional Neural Network (CNN) for the classification of the above-three class problem. Experiments conducted on our database which contains three classes, namely, multi-cultural, normal and non-family images and the benchmark databases (due to Maryam et al. and Wang et al.) which contain two class-family and non-family images, show that the proposed method outperforms the existing methods in terms of classification rate for all the three databases. © 2020, Springer Nature Switzerland AG.

关键词： Database systems

来源：评论

学校读者我要写书评

暂无评论

Temporal Conditional Random Fields: A conditional state space predictor for visual tracking

Temporal Conditional Random Fields: A conditional state spac...

引用

Iranian Machine vision and Image Processing (MVIP)

作者： M. J. Shafiee Z. Azimifar P. Fieguth Computer Vision and Pattern Recognition Laboratory School of Electrical & Computer Engineering Shiraz University Shiraz Iran Systems Design Engineering University of Waterloo Waterloo Canada

We present a modified Temporal Conditional Random Fields framework for modeling and predicting object motion. To facilitate such a powerful graphical model with prediction and come up with a CRF-based predictor, we propose a set of new temporal relations for object tracking, with feature functions such as optical flow (calculated among consequent frames). We evaluate our proposed Temporal Conditional Random Field method with real and synthetic data sequences and will show that the TCRF prediction is nearly equivalent with result of template matching. Experimental results show that our proposed method estimates future target state with zero error until target dynamic changes. Our proposed modified CRF method with simple and easy to implement feature functions, can learn any target dynamic, thus, it can predict next state of target with zero error.

关键词： Computational modeling Hidden Markov models computer vision Predictive models Kalman filters Image motion analysis Dynamics

来源：评论

学校读者我要写书评

暂无评论

3D and Infrared Face Reconstruction from RGB data using Canonical Correlation Analysis

3D and Infrared Face Reconstruction from RGB data using Cano...

引用

International Conference on pattern recognition

作者： M. Reiter R. Donner G. Langs H. Bischof Pattern Recognition and Image Processing Group Vienna University of Technology Austria Graz University of Technology Institute for Computer Graphics and Vision Austria

In this paper, we apply a multiple regression method based on canonical correlation analysis (CCA) to face data modelling. CCA is a factor analysis method which exploits the correlation between two high dimensional signals. We first use CCA to perform 3D face reconstruction and in a separate application we predict near-infrared (NIR) face texture. In both cases, the input data are color (RGB) face images. Experiments show, that due to the correlation between input and output signal, only a small number of canonical factors are needed to describe the functional relation of RGB images to the respective output (NIR images and 3D depth maps) with reasonable accuracy

关键词： Shape Face detection Lighting Image reconstruction Image analysis Image databases pattern analysis Rendering (computer graphics) Image color analysis pattern recognition

来源：评论

学校读者我要写书评

暂无评论

A New DCT-FFT Fusion Based Method for Caption and Scene Text Classification in Action Video Images 2nd

A New DCT-FFT Fusion Based Method for Caption and Scene Text...

引用

2nd International Conference on pattern recognition and Artificial Intelligence, ICPRAI 2020

作者： Nandanwar, Lokesh Shivakumara, Palaiahnakote Manna, Suvojit Pal, Umapada Lu, Tong Blumenstein, Michael Faculty of Computer Science and Information Technology University of Malayasia Kuala Lumpur Malaysia Department of Computer Science and Engineering Jalpaiguri Government Engineering College Jalpaiguri India Computer Vision and Pattern Recognition Unit Indian Statistical Institute Kolkata India National Key Lab for Novel Software Technology Nanjing University Nanjing China University of Technology Sydney Ultimo Australia

ISBN: (纸本)9783030598297

Achieving better recognition rate for text in video action images is challenging due to multi-type texts with unpredictable backgrounds. We propose a new method for the classification of captions (which is edited text) and scene texts (which is part of an image in video images of Yoga, Concert, Teleshopping, Craft, and Recipe classes). The proposed method introduces a new fusion criterion-based on DCT and Fourier coefficients to extract features that represent good clarity and visibility of captions to separate them from scene texts. The variances for coefficients of corresponding pixels of DCT and Fourier images are computed to derive the respective weights. The weights and coefficients are further used to generate a fused image. Furthermore, the proposed method estimates sparsity in Canny edge image of each fused image to derive rules for classifying caption and scene texts. Lastly, the proposed method is evaluated on images of five above-mentioned action image classes to validate the derived rules. Comparative studies with the state-of-the-art methods on the standard databases show that the proposed method outperforms the existing methods in terms of classification. The recognition experiments before and after classification show that the recognition performance rate improves significantly after classification. © 2020, Springer Nature Switzerland AG.

关键词： Classification (of information)

来源：评论

学校读者我要写书评

暂无评论

An Approach of Strike-Through Text Identification from Handwritten Documents

An Approach of Strike-Through Text Identification from Handw...

引用

International Workshop on Frontiers in Handwriting recognition

作者： Chandranath Adak Bidyut B. Chaudhuri Dept. of Computer Science & Engg University of Kalyani West Bengal India Computer Vision and Pattern Recognition Unit Indian Statistical Institute Kolkata India

A handwritten document may contain strike-through texts. If such texts are fed into an OCR system, the output will be garbage. In this paper, we propose a scheme to detect such strike-through texts/words. Using a graph based model, we represent a textual connected component as a graph. The start/end and intersection points of the ink-strokes of a component are marked as graph nodes. There exists an edge between two nodes if they are connected by object (ink) pixels. By eliminating parallel edges and self loops we obtain a simple, undirected, edge-weighted graph of the text-component. The edge-weight is found by adding horizontal/vertical moves weighted by 1 and diagonal moves weighted by √2. In this graph, we find the shortest path which is nearly as long as the width of the text component and maintains a reasonable degree of straightness. This path, if exist, is identified as the strike-through line. Here we deal with handwritten documents in English, Bengali and Devanagari script. Our approach delivers fairly good results.

关键词： Handwriting recognition Hidden Markov models Character recognition Optical character recognition software Image edge detection Ink Databases

来源：评论

学校读者我要写书评

暂无评论

A Two Stage Approach for Handwritten Malayalam Character recognition

A Two Stage Approach for Handwritten Malayalam Character Rec...

引用

International Workshop on Frontiers in Handwriting recognition

作者： Jomy John K.V. Pramod Kannan Balakrishnan Bidyut B. Chaudhuri Dept. of Computer Applications Cochin University of Science and Technology Kochi India Computer Vision & Pattern Recognition Unit Indian Statistical Institute Kolkata India

Handwritten character recognition is still a research challenge in OCR discipline, especially for Indian scripts. This paper deals with handwritten Malayalam, a major Indian script, where past work considered a small subset of characters only. In this paper we deal with complete set of basic characters, vowel and consonant signs and compound characters that may be present in the script. Here the recognition task is more difficult because of large numbers of classes and high interclass similarity. To tackle the problem, we proposed a two-stage approach. The first stage is a group classifier, where a group consists of similar characters and those that misclassify among themselves. In the second stage, a character assigned to a group in the first stage is classified to a particular character class. The proposed scheme is more accurate and efficient than a single stage scheme.

关键词： Compounds Character recognition Support vector machines Shape Handwriting recognition Feature extraction Databases

来源：评论

学校读者我要写书评

暂无评论

ISIgraphy: A tool for online handwriting sample database generation

ISIgraphy: A tool for online handwriting sample database gen...

引用

National Conference on computer vision, pattern recognition, Image Processing and Graphics (NCVPRIPG)

作者： Arindam Das Ujjwal Bhattacharya Department of Computer Science & Engineering Narula Institute of Technology Kolkata India Computer Vision and Pattern Recognition Unit Indian Statistical Institute (ISI) Kolkata India

Online handwriting recognition research has recently received significant thrust. Specifically for Indian scripts, handwriting recognition has not been focused much till in the near past. However, due to generous Government funding through the group on Technology Development for Indian Languages (TDIL) of the Ministry of Communication & Information Technology (MC&IT), Govt. of India, research in this area has received due attention and several groups are now engaged in research and development works for online handwriting recognition in different Indian scripts. An extensive bottleneck of the desired progress in this area is the difficulty of collection of large sample databases of online handwriting in various scripts. Towards the same, recently a user-friendly tool on Android platform has been developed to collect data on handheld devices. This tool is called ISIgraphy and has been uploaded in the Google Play for free download. This application is designed well enough to store handwritten data samples in large scales in user-given file names for distinct users. Its use is script independent, meaning that it can collect and store handwriting samples written in any language, not necessarily an Indian script. It has an additional module for retrieval and display of stored data. Moreover, it can directly send the collected data to others via electronic mail.

关键词： Databases Handwriting recognition Character recognition Handheld computers Benchmark testing Text recognition

来源：评论

学校读者我要写书评

暂无评论

A New Method for Handwritten Scene Text Detection in Video

A New Method for Handwritten Scene Text Detection in Video

引用

International Workshop on Frontiers in Handwriting recognition

作者： Palaiahnakote Shivakumara Anjan Dutta Umapada Pal Chew Lim Tan School of Computing National University of Singapore Singapore Computer Vision Center Universitat Authnòma de Barcelona Barcelona Spain Computer Vision and Pattern Recognition Unit Indian Statistical Institute India

There are many video images where hand written text may appear. Therefore handwritten scene text detection in video is essential and useful for many applications for efficient indexing, retrieval etc. Also there are many video frames where text line may be multi-oriented in nature. To the best of our knowledge there is no work on handwritten text detection in video, which is multi-oriented in nature. In this paper, we present a new method based on maximum color difference and boundary growing method for detection of multi-oriented handwritten scene text in video. The method computes maximum color difference for the average of R, G and B channels of the original frame to enhance the text information. The output of maximum color difference is fed to a K-means algorithm with K = 2 to separate text and non-text clusters. Text candidates are obtained by intersecting the text cluster with the Sobel output of the original frame. To tackle the fundamental problem of different orientations and skews of handwritten text, boundary growing method based on a nearest neighbor concept is employed. We evaluate the proposed method by testing on our own handwritten text database and publicly available video data (Hua's data). Experimental results obtained from the proposed method are promising.

关键词： Pixel Image edge detection Image color analysis Graphics Clustering algorithms Image resolution Measurement

来源：评论

学校读者我要写书评

暂无评论

Robust stereo on multiple resolutions

Robust stereo on multiple resolutions

引用

International Conference on pattern recognition

作者： C. Menard A. Leonardis Department for Pattern Recognition and Image Processing Technical University of of Vienna Vienna Austria Computer and InformationScience. Computer Vision Laboratory University of Ljubljana Ljubljana Slovenia

Stereo computation is one of the vision problems where the presence of outliers cannot be neglected. Most standard algorithms make unrealistic assumptions about noise distributions, which leads to erroneous results that cannot be corrected in subsequent postprocessing stages. In this paper we present a modification of the standard area-based correlation approach so that it can tolerate a significant number of outliers. The approach exhibits a robust behavior not only in the presence of mismatches but also in the case of depth discontinuities. The confidence measure of the correlation and the number of outliers provide two complementary sources of information which, when implemented in a multiresolution framework, result in a robust and efficient method. We present the results of this approach on a number of synthetic and real images.

关键词： Stereo vision computer vision Noise robustness Information resources Correlation pattern recognition Image processing Layout Cameras Laboratories

来源：评论

学校读者我要写书评

暂无评论

Proceedings of 3rd International Conference on computer vision and Image Processing 1

引用

丛书名： Advances in Intelligent Systems and Computing

2020年

作者： Bidyut B. Chaudhuri Masaki Nakagawa Pritee Khanna Sanjeev Kumar

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83页 << < 37 38 39 40 41 42 43 44 45 46 > >>

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：