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

1,535 篇 会议
21 册 图书
13 篇 期刊文献

馆藏范围

1,569 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

1,449 篇 工学
- 1,046 篇 计算机科学与技术...
- 655 篇 机械工程
- 358 篇 电气工程
- 111 篇 软件工程
- 55 篇 控制科学与工程
- 49 篇 信息与通信工程
- 35 篇 光学工程
- 28 篇 仪器科学与技术
- 17 篇 网络空间安全
- 15 篇 生物工程
- 9 篇 生物医学工程（可授...
- 8 篇 电子科学与技术（可...
- 8 篇 安全科学与工程
- 7 篇 测绘科学与技术
- 4 篇 化学工程与技术
- 3 篇 建筑学
112 篇 医学
- 108 篇 临床医学
- 6 篇 基础医学(可授医学...
- 4 篇 特种医学
87 篇 理学
- 38 篇 物理学
- 34 篇 数学
- 24 篇 生物学
- 12 篇 统计学（可授理学、...
- 9 篇 系统科学
- 5 篇 化学
42 篇 管理学
- 32 篇 图书情报与档案管...
- 10 篇 管理科学与工程(可...
24 篇 艺术学
- 24 篇 设计学（可授艺术学...
19 篇 法学
- 19 篇 社会学
15 篇 文学
- 15 篇 新闻传播学
2 篇 教育学
2 篇 农学
1 篇 经济学

主题

528 篇 computer vision
139 篇 face recognition
135 篇 pattern recognit...
135 篇 feature extracti...
130 篇 cameras
129 篇 image segmentati...
128 篇 object recogniti...
115 篇 object detection
103 篇 training
98 篇 robustness
94 篇 images
92 篇 image recognitio...
90 篇 shape
90 篇 layout
84 篇 visualization
77 篇 image reconstruc...
76 篇 humans
70 篇 computer science
66 篇 computational mo...
66 篇 image classifica...

机构

23 篇 rhein westfal th...
18 篇 carnegie mellon ...
16 篇 chinese acad sci...
15 篇 stanford univ st...
14 篇 univ chinese aca...
11 篇 australian natl ...
11 篇 univ calif berke...
10 篇 univ sci & techn...
10 篇 mit cambridge ma...
10 篇 univ maryland co...
9 篇 microsoft res as...
9 篇 univ washington ...
8 篇 microsoft resear...
8 篇 microsoft res re...
8 篇 natl univ singap...
7 篇 chinese univ hon...
7 篇 tech univ munich...
6 篇 mpi intelligent ...
6 篇 kaust thuwal
6 篇 imperial coll lo...

作者

20 篇 leibe bastian
12 篇 ji qiang
10 篇 li stan z.
9 篇 pal umapada
8 篇 zhang lei
8 篇 chellappa rama
8 篇 lei zhen
8 篇 zafeiriou stefan...
8 篇 hu weiming
8 篇 hua gang
7 篇 ramanan deva
7 篇 wang xiaogang
7 篇 yan shuicheng
7 篇 mubarak shah
6 篇 van gool luc
6 篇 darrell trevor
6 篇 luiten jonathon
6 篇 pollefeys marc
6 篇 bischof horst
6 篇 ghanem bernard

语言

1,554 篇 英文
9 篇 土耳其文
2 篇 日文
2 篇 其他
1 篇 西班牙文
1 篇 中文

检索条件"任意字段=26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR"

共 1569 条记录，以下是761-770 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：

Experiments on an RGB-D Wearable vision System for Egocentric Activity recognition

Experiments on an RGB-D Wearable Vision System for Egocentri...

引用

27th ieee conference on computer vision and pattern recognition (cvpr)

作者： Moghimi, Mohammad Azagra, Pablo Montesano, Luis Murillo, Ana C. Belongie, Serge Univ Calif San Diego La Jolla CA 92093 USA Univ Zaragoza DIIS I3A Zaragoza Spain Cornell Tech New York NY USA

ISBN: (纸本)9781479943098

this work describes and explores novel steps towards activity recognition from an egocentric point of view. Activity recognition is a broadly studied topic in computer vision, but the unique characteristics of wearable vision systems present new challenges and opportunities. We evaluate a challenging new publicly available dataset that includes trajectories of different users across two indoor environments performing a set of more than 20 different activities. the visual features studied include compact and global image descriptors, including GIST and a novel skin segmentation based histogram signature, and state-of-the art image representations for recognition, including Bag of SIFT words and Convolutional Neural Network (CNN) based features. Our experiments show that simple and compact features provide reasonable accuracy to obtain basic activity information (in our case, manipulation vs. non-manipulation). However, for finer grained categories CNN-based features provide the most promising results. Future steps include integration of depth information with these features and temporal consistency into the pipeline.

关键词： computer vision

来源：评论

学校读者我要写书评

暂无评论

Understanding Objects in Detail with Fine-grained Attributes 27

Understanding Objects in Detail with Fine-grained Attributes

引用

27th ieee conference on computer vision and pattern recognition (cvpr)

作者： Vedaldi, Andrea Mahendran, Siddharth Tsogkas, Stavros Maji, Subhransu Girshick, Ross Kannala, Juho Rahtu, Esa Kokkinos, Iasonas Blaschko, Matthew B. Weiss, David Taskar, Ben Simonyan, Karen Saphra, Naomi Mohamed, Sammy Univ Oxford Oxford OX1 2JD England Johns Hopkins Univ Baltimore MD 21218 USA Ecole Cent Paris INRIA Saclay Paris France Toyota Res Inst Chicago Chicago IL USA Univ Calif Berkeley Berkeley CA 94720 USA Univ Oulu SF-90100 Oulu Finland Google Res Mountain View CA USA Univ Washington Seattle WA 98195 USA SUNY Stony Brook Stony Brook NY USA

ISBN: (纸本)9781479951178

We study the problem of understanding objects in detail, intended as recognizing a wide array of fine-grained object attributes. To this end, we introduce a dataset of 7,413 air-planes annotated in detail with parts and their attributes, leveraging images donated by airplane spotters and crowd-sourcing both the design and collection of the detailed annotations. We provide a number of insights that should help researchers interested in designing fine-grained datasets for other basic level categories. We show that the collected data can be used to study the relation between part detection and attribute prediction by diagnosing the performance of classifiers that pool information from different parts of an object. We note that the prediction of certain attributes can benefit substantially from accurate part detection. We also show that, differently from previous results in object detection, employing a large number of part templates can improve detection accuracy at the expenses of detection speed. We finally propose a coarse-to-fine approach to speed up detection through a hierarchical cascade algorithm.

关键词： attribute coarse to fine crowd sourcing dataset object description object detection object recognition part

来源：评论

学校读者我要写书评

暂无评论

Fast and Robust Perspective Rectification of Document Images on a Smartphone

Fast and Robust Perspective Rectification of Document Images...

引用

27th ieee conference on computer vision and pattern recognition (cvpr)

作者： Williem Simon, Christian Cho, Sungdae Park, In Kyu Inha Univ Dept Informat & Commun Engn Inchon 402751 South Korea Samsung Elect Co Ltd Div Mobile Commun Suwon 443742 South Korea

ISBN: (纸本)9781479943098

this paper presents a perspective rectification framework for mobile device that is fast and robust to recovering the fronto-parallel view of perspectively distorted document images. the conventional approaches is too heavy to be implemented on a mobile device. In addition, they fails to reject the false case of the perspective rectification. To ameliorate such problems, the proposed framework is designed to pursue a fast and robust algorithm to detect horizontal and vertical vanishing points efficiently and robustly. then, perspective rectification is performed using both horizontal and vertical vanishing points. In addition, the proposed framework has an adaptive scheme to detect the false case of the perspective rectification and skip the procedure without using the vertical vanishing point. Note that, the proposed framework is designed for consumer application so that bad results are rejected before they are shown for users. We demonstrate the performance of the proposed framework on various challenging examples to confirm that the proposed system is fast and robust in rectifying the perspectively distorted images.

关键词： pattern recognition

来源：评论

学校读者我要写书评

暂无评论

Subject Adaptive Affection recognition via Sparse Reconstruction

Subject Adaptive Affection Recognition via Sparse Reconstruc...

引用

27th ieee conference on computer vision and pattern recognition (cvpr)

作者： Zhang, Chenyang Tian, Yingli CUNY City Coll Media Lab New York NY 10031 USA

ISBN: (纸本)9781479943098

Multimedia affection recognition from facial expressions and body gestures in RGB-D video sequences is a new research area. However, the large variance among different subjects, especially in facial expression, has made the problem more difficult. To address this issue, we propose a novel multimedia subject adaptive affection recognition framework via a 2-layer sparse representation. there are two main contributions in our framework. In the subjective adaption stage, an iterative subject selection algorithm is proposed to select most subject-related instances instead of using the whole training set. In the inference stage, a joint decision is made with confident reconstruction prior to composite information from facial expressions and body gestures. We also collect a new RGB-D dataset for affection recognition with large subjective variance. Experimental results demonstrate that the proposed affection recognition framework can increase the discriminative power especially for facial expressions. Joint recognition strategy is also demonstrated that it can utilize complementary information in both models so that to reach better recognition rate.

关键词： Gesture recognition RGBD Sparse Representation

来源：评论

学校读者我要写书评

暂无评论

A compact 3D camera suited for mobile and embedded vision applications

A compact 3D camera suited for mobile and embedded vision ap...

引用

27th ieee conference on computer vision and pattern recognition (cvpr)

作者： Mattoccia, Stefano Marchio, Ilario Casadio, Marco Univ Bologna Sch Engn & Architecture Dept Comp Sci & Engn Bologna Italy

ISBN: (纸本)9781479943098

Recent years have seen the widespread diffusion of 3D sensors, mainly based on active technologies such as structured light and Time-of-Flight, enabling the development of very interesting 3D vision applications. this paper describes a compact 3D camera based on passive stereo vision technology suited for mobile/embedded vision applications. Our 3D camera is very compact, the overall area of the processing unit is smaller than a business card, lightweight, it weights less than 100 g including lenses, has a reduced power consumption, about 2 Watt processing stereo pairs at 30+ fps, and can be easily configured with different baselines and processing units according to specific application requirements. the overall design is mapped on a low cost FPGA, making the hardware design easily portable to other reconfigurable devices, and allows us to obtain in real-time accurate and dense depth maps according to state-of-the-art stereo vision algorithms.

关键词： 3D stereo vision FPGA RGBD depth sensor

来源：评论

学校读者我要写书评

暂无评论

DL-SFA: Deeply-Learned Slow Feature Analysis for Action recognition 27

DL-SFA: Deeply-Learned Slow Feature Analysis for Action Reco...

引用

27th ieee conference on computer vision and pattern recognition (cvpr)

作者： Sun, Lin Jia, Kui Chan, Tsung-Han Fang, Yuqiang Wang, Gang Yan, Shuicheng Natl Univ Singapore Dept Elect & Comp Engn Singapore 117548 Singapore Adv Digital Sci Ctr Singapore Singapore Hong Kong Univ Sci & Technol Dept Elect & Comp Engn Hong Kong Hong Kong Peoples R China Nanyang Technol Univ Singapore 639798 Singapore Lenovo Corp Res Hong Kong Branch Hong Kong Hong Kong Peoples R China

ISBN: (纸本)9781479951178

Most of the previous work on video action recognition use complex hand-designed local features, such as SIFT, HOG and SURF, but these approaches are implemented sophisticatedly and difficult to be extended to other sensor modalities. Recent studies discover that there are no universally best hand-engineered features for all datasets, and learning features directly from the data may be more advantageous. One such endeavor is Slow Feature Analysis (SFA) proposed by Wiskott and Sejnowski [33]. SFA can learn the invariant and slowly varying features from input signals and has been proved to be valuable in human action recognition [34]. It is also observed that the multi-layer feature representation has succeeded remarkably in widespread machine learning applications. In this paper, we propose to combine SFA with deep learning techniques to learn hierarchical representations from the video data itself. Specifically, we use a two-layered SFA learning structure with 3D convolution and max pooling operations to scale up the method to large inputs and capture abstract and structural features from the video. thus, the proposed method is suitable for action recognition. At the same time, sharing the same merits of deep learning, the proposed method is generic and fully automated. Our classification results on Hollywood2, Kth and UCF Sports are competitive with previously published results. To highlight some, on the Kth dataset, our recognition rate shows approximately 1% improvement in comparison to state-of-the-art methods even without supervision or dense sampling.

关键词： action recognition deep learning slow feature analysis Machine Learning recognition (Psychology) video data Dataset emotional feature analysis Regulated industries Action time sharing

来源：评论

学校读者我要写书评

暂无评论

Brain-inspired Classroom Occupancy Monitoring on a Low-Power Mobile Platform

Brain-inspired Classroom Occupancy Monitoring on a Low-Power...

引用

27th ieee conference on computer vision and pattern recognition (cvpr)

作者： Conti, Francesco Pullini, Antonio Benini, Luca Univ Bologna Dept Elect Elect & Informat Engn I-40126 Bologna Italy Swiss Fed Inst Technol Integrated Syst Lab Zurich Switzerland

ISBN: (纸本)9781479943098

Brain-inspired computer vision (BICV) has evolved rapidly in recent years and it is now competitive with traditional CV approaches. However, most of BICV algorithms have been developed on high power-and-performance platforms (e.g. workstations) or special purpose hardware. We propose two different algorithms for counting people in a classroom, both based on Convolutional Neural Networks (CNNs), a state-of-art deep learning model that is inspired on the structure of the human visual cortex. Furthermore, we provide a standalone parallel C library that implements CNNs and use it to deploy our algorithms on the embedded mobile ARM big. LITTLE-based Odroid-XU platform. Our performance and power measurements show that neuromorphic vision is feasible on off-the-shelf embedded mobile platforms, and we show that it can reach very good energy efficiency for non-time-critical tasks such as people counting.

关键词： brain-inspired computer vision classroom occupancy convolutional neural networks odroid people counting

来源：评论

学校读者我要写书评

暂无评论

An Introduction to the 3rd Workshop on Egocentric (First-person) vision

An Introduction to the 3rd Workshop on Egocentric (First-per...

引用

27th ieee conference on computer vision and pattern recognition (cvpr)

作者： Mann, Steve Kitani, Kris M. Lee, Yong Jae Ryoo, M. S. Fathi, Alireza

ISBN: (纸本)9781479943098

Egocentric vision provides a unique perspective of the visual world that is inherently human-centric. Since egocentric cameras are mounted on the user (typically on the user's head), they are naturally primed to gather visual information from our everyday interactions, and can even act on that information in real-time (e. g. for a vision aid). We believe that this human-centric characteristic of egocentric vision can have a large impact on the way we approach central computer vision tasks such as visual detection, recognition, prediction, and socio-behavioral analysis. By taking advantage of the first-person point-of-view paradigm, there have been recent advances in areas such as personalized video summarization, understanding concepts of social saliency, activity analysis with inside-out cameras (a camera to capture eye gaze and an outward-looking camera), recognizing human interactions and modeling focus of attention. However, in many ways people are only beginning to understand the full potential (and limitations) of the first-person paradigm. In the 3rd workshop on Egocentric (First-Person) vision, we bring together researchers to discuss emerging topics such as: Personalization of visual analysis;Socio-behavioral modeling;Understanding group dynamics and interactions;Egocentric video as big data;First-person vision for robotics;and Egographical User Interfaces (EUIs).

关键词： Sight Cameras group dynamics Workshops workshops full potential robotics

来源：评论

学校读者我要写书评

暂无评论

Performance Improvement of Phase-Based Correspondence Matching for Palmprint recognition

Performance Improvement of Phase-Based Correspondence Matchi...

引用

27th ieee conference on computer vision and pattern recognition (cvpr)

作者： Roux, Vincent Aoyama, Shoichiro Ito, Koichi Aoki, Takafumi Inst Super Elect Paris 28 Rue Notre Dame des Champs F-75006 Paris France Tohoku Univ Grad Sch Informat Sci Aoba Ku 6-6-05Sendai shi Sendai Miyagi 9808579 Japan

ISBN: (纸本)9781479943098

the use of phase-based correspondence matching for biometric recognition makes it possible to find corresponding point pairs between images having nonlinear deformation. On the other hand, the optimal recognition performance cannot be exhibited due to simple approaches for matching score calculation and reference point placement. this paper proposes two techniques to improve performance of phase-based correspondence matching for contactless palmprint recognition. First technique analyzes location of corresponding points and defines a new matching score. Second one selects location of reference points suggested by a Difference of Gaussians (DoG) filter. through a set of experiments using CASIA contactless palmprint database, we demonstrate that the proposed techniques improve performance of phase-based correspondence matching and exhibit good performance compared with conventional palmprint recognition algorithms.

关键词： biometrics correspondence matching palmprint phase-only correlation

来源：评论

学校读者我要写书评

暂无评论

Reliable Posterior Probability Estimation for Streaming Face recognition

Reliable Posterior Probability Estimation for Streaming Face...

引用

27th ieee conference on computer vision and pattern recognition (cvpr)

作者： Bendale, Abhijit Boult, Terrance Univ Colorado Colorado Springs CO 80907 USA

ISBN: (纸本)9781479943098

Increasing access to large, non-stationary face datasets and corresponding demands to process, analyze and learn from this data. this has lead to a new class of online/incremental face recognition problems. While it is advantageous to build large scale learning systems when resources permit, a counter problem of learning with limited resources in presence of streaming data arises. We present a budgeted incremental support vector learning method suitable for online learning applications. Our system can process one sample at a time and is suitable when dealing with large streams of data. We discuss multiple budget maintenance strategies and investigate the problem of incremental unlearning. We propose a novel posterior probability estimation model based on Extreme Value theory (EVT) and show its suitability for budgeted online learning applications (calibration with limited data). We perform thorough analysis of various probability calibration techniques with the help of methods inspired from meteorology. We test our methods on Labeled Faces in the Wild dataset and show suitability of the proposed approach for face verification/recognition

关键词： SVM face recognition incremental learning probability calibration

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157页 << < 73 74 75 76 77 78 79 80 81 82 > >>

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：