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

1,851 篇 会议
120 册 图书
40 篇 期刊文献

馆藏范围

2,011 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

1,517 篇 工学
- 1,317 篇 计算机科学与技术...
- 750 篇 软件工程
- 430 篇 电气工程
- 252 篇 信息与通信工程
- 251 篇 光学工程
- 195 篇 生物工程
- 118 篇 生物医学工程（可授...
- 117 篇 控制科学与工程
- 95 篇 电子科学与技术（可...
- 87 篇 机械工程
- 68 篇 化学工程与技术
- 59 篇 安全科学与工程
- 37 篇 仪器科学与技术
- 37 篇 交通运输工程
- 34 篇 材料科学与工程（可...
- 22 篇 建筑学
- 18 篇 农业工程
620 篇 理学
- 324 篇 物理学
- 232 篇 数学
- 209 篇 生物学
- 71 篇 化学
- 62 篇 统计学（可授理学、...
- 28 篇 系统科学
345 篇 医学
- 333 篇 临床医学
- 61 篇 基础医学(可授医学...
- 48 篇 药学(可授医学、理...
174 篇 管理学
- 121 篇 图书情报与档案管...
- 66 篇 管理科学与工程(可...
24 篇 农学
- 22 篇 作物学
23 篇 法学
- 21 篇 社会学
12 篇 教育学
8 篇 经济学
5 篇 军事学
2 篇 文学

主题

232 篇 computer vision
101 篇 image processing
92 篇 deep learning
88 篇 artificial intel...
84 篇 image processing...
73 篇 image segmentati...
72 篇 computer graphic...
68 篇 feature extracti...
63 篇 pattern recognit...
41 篇 object detection
41 篇 convolutional ne...
40 篇 machine learning
37 篇 computational mo...
36 篇 image enhancemen...
34 篇 image reconstruc...
33 篇 computer imaging...
32 篇 graphics process...
32 篇 image classifica...
31 篇 face recognition
31 篇 visualization

机构

19 篇 indian statistic...
15 篇 indian institute...
12 篇 indian inst tech...
9 篇 indian institute...
9 篇 indian institute...
9 篇 indian inst tech...
8 篇 indian institute...
8 篇 indian institute...
8 篇 indian inst tech...
8 篇 indian institute...
7 篇 indian stat inst...
7 篇 indian inst tech...
7 篇 indian inst tech...
7 篇 indian inst tech...
7 篇 indian inst tech...
7 篇 indian inst sci ...
6 篇 iit kharagpur kh...
6 篇 indian inst tech...
6 篇 faculty of elect...
6 篇 department of co...

作者

31 篇 chaudhury santan...
25 篇 mukherjee jayant...
25 篇 chaudhuri subhas...
21 篇 das sukhendu
16 篇 lall brejesh
15 篇 babu r. venkates...
15 篇 raman shanmugana...
13 篇 das partha prati...
13 篇 mukherjee dipti ...
13 篇 harit gaurav
13 篇 mishra deepak
11 篇 chanda bhabatosh
11 篇 mukherjee snehas...
10 篇 biswas soma
10 篇 raman balasubram...
10 篇 jawahar c.v.
10 篇 biswas prabir ku...
10 篇 sur arijit
9 篇 banerjee biplab
9 篇 balasubramanian ...

语言

1,970 篇 英文
37 篇 其他
6 篇 中文
2 篇 俄文

检索条件"任意字段=6th Indian Conference on Computer Vision, Graphics and Image Processing"

共 2011 条记录，以下是581-590 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：

Improved low resolution heterogeneous face recognition using re-ranking 6th

Improved low resolution heterogeneous face recognition using...

引用

6th National conference on computer vision, Pattern Recognition, image processing and graphics, NCVPRIPG 2017

作者： Mudunuri, Sivaram Prasad Venkataramanan, Shashanka Biswas, Soma Department of Electrical Engineering Indian Institute of Science Bangalore India

ISBN: (纸本)9789811300196

Recently, near-infrared to visible light facial image matching is gaining popularity, especially for low-light and night-time surveillance scenarios. Unlike most of the work in literature, we assume that the near-infrared probe images have low-resolution in addition to uncontrolled pose and expression, which is due to the large distance of the person from the camera. To address this very challenging problem, we propose a re-ranking strategy which takes into account the relation of both the probe and gallery with a set of reference images. this can be used as an add-on to any existing algorithm. We apply it with one recent dictionary learning algorithm which uses alignment of orthogonal dictionaries. We also create a benchmark for this task by evaluating some of the recent algorithms for this experimental protocol. Extensive experiments are conducted on a modified version of the CASIA NIR VIS 2.0 database to show the effectiveness of the proposed re-ranking approach. © Springer Nature Singapore Pte Ltd. 2018.

关键词： Face recognition

来源：评论

学校读者我要写书评

暂无评论

Lost in Context: the Influence of Context on Feature Attribution Methods for Object Recognition 24

Lost in Context: The Influence of Context on Feature Attribu...

引用

15th indian conference on computer vision graphics and image processing

作者： Adhikari, Sayanta Kumar, Rishav Mopuri, Konda Reddy Pachamuthu, Rajalakshmi Indian Inst Technol Hyderabad Artificial Intelligence & Machine Learning Hyderabad Telangana India Indian Inst Technol Hyderabad Elect Engn Hyderabad Telangana India

ISBN: (纸本)9798400710759

Contextual information plays a critical role in object recognition models within computer vision, where changes in context can significantly affect accuracy, underscoring models' dependence on contextual cues. this study investigates how context manipulation influences both model accuracy and feature attribution, providing insights into the reliance of object recognition models on contextual information as understood through the lens of feature attribution methods. We employ a range of feature attribution techniques to decipher the reliance of deep neural networks on context in object recognition tasks. Using the imageNet-9 and our curated imageNet-CS datasets, we conduct experiments to evaluate the impact of contextual variations, analyzed through feature attribution methods. Our findings reveal several key insights: (a) Correctly classified images predominantly emphasize object volume attribution over context volume attribution. (b) the dependence on context remains relatively stable across different context modifications, irrespective of classification accuracy. (c) Context change exerts a more pronounced effect on model performance than Context perturbations. (d) Surprisingly, context attribution in 'no-information' scenarios is non-trivial. Our research moves beyond traditional methods by assessing the implications of broad-level modifications on object recognition, either in the object or its context. Code available at https://***/nineRishav/Lost-In-Context

关键词： Context Explainable AI (XAI) imageNet Feature Attribution Object Recognition

来源：评论

学校读者我要写书评

暂无评论

the 3D Edge Reconstruction from 2D image by Using Correlation Based Algorithm 6

The 3D Edge Reconstruction from 2D Image by Using Correlatio...

引用

6th IEEE International conference on Industrial Engineering and Applications (ICIEA)

作者： Patoommakesorn, Kanuengnit Vignat, Frederic Villeneuve, Francois Chandrakasem Rajabhat Univ Fac Sci Bangkok Thailand Univ Grenoble Alpes G SCOP Grenoble France

ISBN: (纸本)9781728108513

In computer numerical control machine tools, using machining simulation to prevent collision have become more popular due to higher machining speed. the 3D reconstruction of objects is one of the main goals for 3D machine vision is presented in this paper. In the stereo vision, a 2D edge feature detection algorithm designed by integration of vision base image processing which can generate a new straight line on the edges of the object. the matching comparison process is solved with the Normalized Cross Correlation (NCC) to obtain the results of a new straight line matching to find disparity from distance between feature points on plane. the disparity can be obtained from two cameras by overlapped two objects that show the different positions of two objects in horizontal using the principles of geometry of two cameras. the different position results can find the coordinates of 3D (x, y, z) to be generating the straight lines on edge of the 3D objects. this method is simply and easier in the computing process for the reconstruction of the object. the results obtain are presented with an effective and accurate model and can take results input into the 3D recognition process.

关键词： 3D Reconstruction correlation 2D image

来源：评论

学校读者我要写书评

暂无评论

Real-time human action recognition from motion capture data

Real-time human action recognition from motion capture data

引用

2013 4th National conference on computer vision, Pattern Recognition, image processing and graphics, NCVPRIPG 2013

作者： Vantigodi, Suraj Venkatesh Babu, R. Video Analytics Lab SERC Indian Institute of Science Bangalore India

ISBN: (纸本)9781479915880

Recognition of human actions is one of the important tasks in various computer vision applications including video surveillance, human computer interaction etc. Traditionally RGB or depth cameras are utilized for this task. In this work we propose an approach that utilizes motion capture data for recognizing actions. Motion capture provides accurate motion information of joints of body in 3D space. the 3D skeleton joint co-ordinates of the user provided by motion capture system are used to analyze the dynamics of the action being performed. the temporal variance of each joint of the skeleton and its time weighted variance serve as the features for classification. the time weighted variance feature embeds temporal information in the feature and helps in discriminating confusing actions such as sit-down and stand-up. these features can be extracted rapidly and suitable for real-time recognition. We demonstrate the performance of the proposed approach using correlation based metric and support vector machines (SVM) on the Multi-modal Human Action Detection dataset. the recognition accuracy of above 95% has been achieved. © 2013 IEEE.

关键词： Support vector machines

来源：评论

学校读者我要写书评

暂无评论

Digital restoration of damaged mural images 12

Digital restoration of damaged mural images

引用

8th indian conference on computer vision, graphics and image processing, ICVGIP 2012

作者： Purkait, Pulak Chanda, Bhabatosh Indian Statistical Institute Kolkata India

ISBN: (纸本)9781450316606

Patch-based techniques are proven to generate promising results and outperform many of the existing state-of-art techniques for most of the applications in digital image processing. In this work we develop a patch based coherent texture synthesis technique. A patch-based anisotropic diffusion techniques combined with a novel high-frequency generating technique that can enhance line/brush strokes is also proposed. though these techniques can be applied to many different image processing applications, here we have limited ourselves in the application to interactive digital mural painting recovery/restoration. Some empirical and practical evidence for its high quality texture synthesis and restoration for mural paintings are also presented. the experimental results show the effectiveness of the proposed algorithm. © 2012 ACM.

关键词： Restoration

来源：评论

学校读者我要写书评

暂无评论

Extended Multi-spectral Face Recognition Across Two Different Age Groups: An Empirical Study 16

Extended Multi-spectral Face Recognition Across Two Differen...

引用

10th indian conference on computer vision, graphics and image processing (ICVGIP)

作者： Vetrekar, N. T. Raghavendra, R. Gaonkar, A. A. Naik, G. M. Gad, R. S. Goa Univ Taleigao Goa India NTNU Trondheim Norway

ISBN: (纸本)9781450347532

Face recognition has attained a greater importance in biometric authentication due to its non-intrusive property of identifying individuals at varying stand-off distance. Face recognition based on multi-spectral imaging has recently gained prime importance due to its ability to capture spatial and spectral information across the spectrum. Our first contribution in this paper is to use extended multi-spectral face recognition in two different age groups. the second contribution is to show empirically the performance of face recognition for two age groups. thus, in this paper, we developed a multi-spectral imaging sensor to capture facial database for two different age groups (<= 15years and >= 20years) at nine different spectral bands covering 530nm to 1000nm range. We then collected a new facial images corresponding to two different age groups comprises of 168 individuals. Extensive experimental evaluation is performed independently on two different age group databases using four different state-of-the-art face recognition algorithms. We evaluate the verification and identification rate across individual spectral bands and fused spectral band for two age groups. the obtained evaluation results shows higher recognition rate for age groups >= 20years than <= 15years, which indicates the variation in face recognition across the different age groups.

关键词： Face Recognition Facial Age Groups Multi-spectral Imaging Feature Extraction Collaborative Representation

来源：评论

学校读者我要写书评

暂无评论

Anomaly from motion: Unsupervised extraction of visual irregularity via motion prediction 6th

Anomaly from motion: Unsupervised extraction of visual irreg...

引用

6th National conference on computer vision, Pattern Recognition, image processing and graphics, NCVPRIPG 2017

作者： Majumder, Avishek Babu, R. Venkatesh Chakraborty, Anirban Indian Institute of Science BangaloreKarnataka560012 India

ISBN: (纸本)9789811300196

the problem of automatically extracting anomalous events from any given video is a problem that has been researched from the early days of computer vision. It has still not been fully solved, showing that it is indeed not a trivial problem. the various challenges involved are lack of proper definition, varying scene structure and objects of interest in the scene, just a few to name. In this paper we propose a novel method to extract outliers from motion alone. We employ a stacked LSTM encoder-decoder structure to model the regular motion patterns of the given video sequence. the discrepancy between the motion predicted using the model and the actual observed motion in the scene is analyzed to detect anomalous activities. We perform extensive experimentation on the benchmark datasets of crowd anomaly analysis. We report State of the Art results across all the datasets. © Springer Nature Singapore Pte Ltd. 2018.

关键词： computer vision

来源：评论

学校读者我要写书评

暂无评论

DeepFly: Towards Complete Autonomous Navigation of MAVs with Monocular Camera 16

DeepFly: Towards Complete Autonomous Navigation of MAVs with...

引用

10th indian conference on computer vision, graphics and image processing (ICVGIP)

作者： Shah, Utsav Khawad, Rishabh Krishna, K. Madhava IIIT Hyderabad KCIS Robot Res Ctr Hyderabad Andhra Pradesh India

ISBN: (纸本)9781450347532

Recently, the interest in Micro Aerial Vehicles (MAVs) and their autonomous flights has increased tremendously and significant advances have been made. the monocular camera has turned out to be most popular sensing modality for MAVs as it is light-weight, does not consume more power, and encodes rich information about the environment around. In this paper, we present DeepFly, our framework for autonomous navigation of a quadcopter equipped with monocular camera. the navigable space detection and waypoint selection are fundamental components of autonomous navigation system. they have broader meaning than just detecting and avoiding immediate obstacles. Finding the navigable space emphasizes equally on avoiding obstacles and detecting ideal regions to move next to. the ideal region can be defined by two properties: 1) All the points in the region have approximately same high depth value and 2) the area covered by the points of the region in the disparity map is considerably large. the waypoints selected from these navigable spaces assure collision-free path which is safer than path obtained from other waypoint selection methods which do not consider neighboring information. In our approach, we obtain a dense disparity map by performing a translation maneuver. this disparity map is input to a deep neural network which predicts bounding boxes for multiple navigable regions. Our deep convolutional neural network with shortcut connections regresses variable number of outputs without any complex architectural add on. Our autonomous navigation approach has been successfully tested in both indoors and outdoors environment and in range of lighting conditions.

关键词： Micro Aerial Vehicles Autonomous Navigation Deep Learning

来源：评论

学校读者我要写书评

暂无评论

引用

6th International conference on Inventive Computation Technologies (ICICT)

作者： Appana, Varshini Guttikonda, Tulasi Manasa Shree, Divya Bano, Shahana Kurra, Himasri Koneru Lakshmaiah Educ Fdn Dept Cse Vaddeswaram India

ISBN: (纸本)9781728185019

In the field of computer vision and image processing, image similarity has been a central concern for decades. If you compare two pictures, image Similarity returns a value that tells you how physically they are close. A quantitative measure of the degree of correspondence between the images concerned is given by this test. the score of the similarity between images varies from 0 to 1. In this paper, ORB (Oriented Fast Rotated Brief) algorithm is used to measure the similarity and other types of similarity measures like Structural Similarity Index (SSIM), pixel similarity, Earth mover's Distance are used to obtain the score. When two images are compared, it shows how much identical (common) objects are there in the two images. So, the accuracy or similarity score is about 87 percent when the two images are compared.

关键词： image processing Similarity Pixel Similarity Structural Similarity Earthmover's Distance

来源：评论

学校读者我要写书评

暂无评论

Using bivariate Gaussian distribution for image denoising in the 2-D complex wavelet domain

Using bivariate Gaussian distribution for image denoising in...

引用

Iranian conference on Machine vision and image processing

作者： Rekabdar, Ali Khayat, Omid Khatib, Noushin Aminghafari, Mina Department of Mathematics and Computer Science Amirkabir University of Technology Tehran Iran Department of Nuclear Engineering and Physics Amirkabir University of Technology Tehran Iran Electrical Engineering Department Iran University of Science and Technology Tehran Iran

ISBN: (纸本)9781424497065

Within this framework we describe a novel technique for removing noise from digital noisy images, based on the modeling of wavelet coefficient with bivariate normal distribution and statistical calculation. A method for image denoising is presented in this paper to maximize a posterior density function (MAP) estimator using a bivariate normal random variable. We use our denoising algorithm in 2-D complex wavelet domain comparing with soft and hard thresholding method of stationary wavelet analysis tool (2-D SWT). Despite the simplicity of our method in its implementation, our denoising results achieves better performance than the other mentioned methods both visually and in terms of peak signal-to-noise ratio (PSNR). © 2010 IEEE.

关键词： Wavelet transforms

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202页 << < 55 56 57 58 59 60 61 62 63 64 > >>

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：