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781-790 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：

the Sightfield: Visualizing computer vision, and seeing its capacity to "see"

The Sightfield: Visualizing Computer Vision, and seeing its ...

引用

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

作者： Mann, Steve Univ Toronto Dept Elect & Comp Engn Toronto ON M5S 1A1 Canada

ISBN: (纸本)9781479943098

computer vision is embedded in toilets, urinals, handwash faucets (e.g. Delta Faucet's 128 or 1024 pixel linear arrays), doors, lightswitches, thermostats, and many other objects that "watch" us. Camera-based motion sensing streetlights are installed throughout entire cities, making embedded vision ubiquitous. Technological advancement is leading to increased sensory and computational performance combined with miniaturization that is making vision sensors less visible. In that sense, computer vision is "seeing" better while it is becoming harder for us to see it. I will introduce and describe the concept of a "sight-field", a time-reversed lightfield that can be visualized with time-exposure photography, to make vision (i.e. the capacity to see) visible. In particular, I will describe a special wand that changes color when it is being observed. the wand has an array of light sources that each change color when being watched. the intensity of each light source increases in proportion to the degree to which it is observed. the wand is a surveillometer/sousveillometer array sensing, measuring, and making visible sur/sousveillance. Moving the wand through space, while tracking its exact 3D position in space, makes visible the otherwise invisible "rays of sight" that emenate from cameras. this capacity to sense, measure, and visualize vision, is useful in liability, insurance, safety, and risk assessment, as well as privacy/priveillance assessment, criminology, urban planning, design, and (sur/sous)veillance studies.

关键词： computer vision

来源：评论

学校读者我要写书评

暂无评论

Globality-Locality Preserving Projections for Biometric Data Dimensionality Reduction

Globality-Locality Preserving Projections for Biometric Data...

引用

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

作者： Huang, Sheng Elgammal, Ahmed Huangfu, Luwen Yang, Dan Zhang, Xiaohong Chongqing Univ Chongqing Peoples R China HTC Beijing Adv Technol Res Ctr Beijing Peoples R China Rutgers State Univ Piscataway NJ 08855 USA

ISBN: (纸本)9781479943098

In a biometric recognition task, the manifold of data is the result of the interactions between the sub-manifold of dynamic factors of subjects and the sub-manifold of static factors of subjects. therefore, instead of directly constructing the graph Laplacian of samples, we firstly divide each subject data into a static part (subject-invariant part) and a dynamic part (intra-subject variations) and then jointly learn their graph Laplacians to yield a new graph Laplcian. We use this new graph Laplacian to replace the original graph Laplacian of Locality Preserving Projections (LPP) to present a new supervised dimensionality reduction algorithm. We name this algorithm Globality-Locality Preserving Projections (GLPP). Moreover, we also extend GLPP into a 2D version for dimensionality reduction of 2D data. Compared to LPP, the subspace learned by GLPP more precisely preserves the manifold structures of the data and is more robust to the noisy samples. We apply it to face recognition and gait recognition. Extensive results demonstrate the superiority of GLPP in comparison with the state-of-the-art algorithms.

关键词： Dimensionality Reduction Face recognition Gait recognition Graph Laplacian Subspace Learning

来源：评论

学校读者我要写书评

暂无评论

A Sequential Classifier for Hand Detection in the Framework of Egocentric vision

A Sequential Classifier for Hand Detection in the Framework ...

引用

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

作者： Betancourt, Alejandro Lopez, Miriam M. Regazzoni, Carlo S. Rauterberg, Matthias Univ Genoa Dept Naval Elect Elect & Telecommun Engn I-16126 Genoa Italy Eindhoven Univ Technol Dept Ind Design Designed Intelligence Grp Eindhoven Netherlands

ISBN: (纸本)9781479943098

Hand detection is one of the most explored areas in Egocentric vision Video Analysis for wearable devices. Current methods are focused on pixel-by-pixel hand segmentation, with the implicit assumption of hand presence in almost all activities. However, this assumption is false in many applications for wearable cameras. Ignoring this fact could affect the whole performance of the device since hand measurements are usually the starting point for higher level inference, or could lead to inefficient use of computational resources and battery power. In this paper we propose a two-level sequential classifier, in which the first level, a hand-detector, deals with the possible presence of hands from a global perspective, and the second level, a hand-segmentator, delineates the hand regions at pixel level in the cases indicated by the first block. the performance of the sequential classifier is stated in probabilistic notation as a combination of both, classifiers allowing to test new hand-detectors independently of the type of segmentation and the dataset used in the training stage. Experimental results show a considerable improvement in the detection of true negatives, without compromising the performance of the true positives.

关键词： Hand Detection First Person vision Egocentric vision Video Processing

来源：评论

学校读者我要写书评

暂无评论

CNN Features off-the-shelf: an Astounding Baseline for recognition

CNN Features off-the-shelf: an Astounding Baseline for Recog...

引用

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

作者： Razavian, Ali Sharif Azizpour, Hossein Sullivan, Josephine Carlsson, Stefan KTH Royal Inst Technol CVAP Stockholm Sweden

ISBN: (纸本)9781479943098

Recent results indicate that the generic descriptors extracted from the convolutional neural networks are very powerful. this paper adds to the mounting evidence that this is indeed the case. We report on a series of experiments conducted for different recognition tasks using the publicly available code and model of the OverFeat network which was trained to perform object classification on ILSVRC13. We use features extracted from the OverFeat network as a generic image representation to tackle the diverse range of recognition tasks of object image classification, scene recognition, fine grained recognition, attribute detection and image retrieval applied to a diverse set of datasets. We selected these tasks and datasets as they gradually move further away from the original task and data the OverFeat network was trained to solve. Astonishingly, we report consistent superior results compared to the highly tuned state-of-the-art systems in all the visual classification tasks on various datasets. For instance retrieval it consistently outperforms low memory footprint methods except for sculptures dataset. the results are achieved using a linear SVM classifier (or L2 distance in case of retrieval) applied to a feature representation of size 4096 extracted from a layer in the net. the representations are further modified using simple augmentation techniques e.g. jittering. the results strongly suggest that features obtained from deep learning with convolutional nets should be the primary candidate in most visual recognition tasks.

关键词： Image representation

来源：评论

学校读者我要写书评

暂无评论

Multiple Target Tracking Based on Undirected Hierarchical Relation Hypergraph 27

Multiple Target Tracking Based on Undirected Hierarchical Re...

引用

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

作者： Wen, Longyin Li, Wenbo Yan, Junjie Lei, Zhen Yi, Dong Li, Stan Z. Chinese Acad Sci Ctr Biometr & Secur Res Beijing 100864 Peoples R China Chinese Acad Sci Inst Automat Natl Lab Pattern Recognit Beijing 100864 Peoples R China

ISBN: (纸本)9781479951178

Multi-target tracking is an interesting but challenging task in computer vision field. Most previous data association based methods merely consider the relationships (e.g. appearance and motion pattern similarities) between detections in local limited temporal domain, leading to their difficulties in handling long-term occlusion and distinguishing the spatially close targets with similar appearance in crowded scenes. In this paper, a novel data association approach based on undirected hierarchical relation hyper-graph is proposed, which formulates the tracking task as a hierarchical dense neighborhoods searching problem on the dynamically constructed undirected affinity graph. the relationships between different detections across the spatio-temporal domain are considered in a high-order way, which makes the tracker robust to the spatially close targets with similar appearance. Meanwhile, the hierarchical design of the optimization process fuels our tracker to long-term occlusion with more robustness. Extensive experiments on various challenging datasets (i.e. PETS2009 dataset, ParkingLot), including both low and high density sequences, demonstrate that the proposed method performs favorably against the state-of-the-art methods.

关键词： Multi-target tracking dense neighborhoods searching hypergraph undirected affinity graph

来源：评论

学校读者我要写书评

暂无评论

Streetscore - Predicting the Perceived Safety of One Million Streetscapes

Streetscore - Predicting the Perceived Safety of One Million...

引用

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

作者： Naik, Nikhil Philipoom, Jade Raskar, Ramesh Hidalgo, Cesar MIT Media Lab Cambridge MA 02139 USA

ISBN: (纸本)9781479943098

Social science literature has shown a strong connection between the visual appearance of a city's neighborhoods and the behavior and health of its citizens. Yet, this research is limited by the lack of methods that can be used to quantify the appearance of streetscapes across cities or at high enough spatial resolutions. In this paper, we describe 'Streetscore', a scene understanding algorithm that predicts the perceived safety of a streetscape, using training data from an online survey with contributions from more than 7000 participants. We first study the predictive power of commonly used image features using support vector regression, finding that Geometric Texton and Color Histograms along with GIST are the best performers when it comes to predict the perceived safety of a streetscape. Using Streetscore, we create high resolution maps of perceived safety for 21 cities in the Northeast and Midwest of the United States at a resolution of 200 images/square mile, scoring similar to 1 million images from Google Streetview. these datasets should be useful for urban planners, economists and social scientists looking to explain the social and economic consequences of urban perception.

关键词： internet vision trueskill urban computing urban planning visual analysis beyond semantics

来源：评论

学校读者我要写书评

暂无评论

Ground-Based Activity recognition at Distance and Behind Wall

Ground-Based Activity Recognition at Distance and Behind Wal...

引用

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

作者： Wang, Tao Hammoud, Riad Zhu, Zhigang BAE Syst 6 New England Execut Pk Burlington MA 01803 USA CUNY Dept Comp Sci New York NY 10031 USA

ISBN: (纸本)9781479943098

Long-range activity recognition is a challenging research problem in a surveillance area where sensors cannot be placed close to targets. Even a simple activity can be confused with other activities or not be recognized correctly if the detection in one of the sensor modalities is not certain or even unavailable. Also, the training of some real-life activities is not feasible, because it is hard to collect sufficient and accurate labeled data for varieties of free-living activities. In this paper, we use an unsupervised learning algorithm, Dirichlet process Gaussian mixture model (DPGMM), to construct a model to determine the number of classes automatically. To further represent a set of features as one event, and communicate between both audio and video, we use the DPGMM as a base and enhance it with additional aggregation, multimodal association and transition. this new model is called aggregation coupled Dirichlet process Gaussian mixture model (AC-DPGMM). We present experiments with some activities that cannot be simply distinguished using visual features only. Along with audio information, we can also recognize some activities invisible in video, such as speaking behind a wall. We compared our model with a generative clustering algorithm and the original DPGMM, and showed that we have 23.6% and 18.8% improvement in accuracy compared with manually labeled data.

关键词： activity recognition audio-video long range sensing

来源：评论

学校读者我要写书评

暂无评论

A High-Performance Hardware Architecture for a Frameless Stereo vision Algorithm Implemented on a FPGA Platform

A High-Performance Hardware Architecture for a Frameless Ste...

引用

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

作者： Eibensteiner, Florian Kogler, Juergen Scharinger, Josef Upper Austria Univ Appl Sci Softwarepk 11 A-4232 Hagenberg Austria Austrian Inst Technol GmbH AIT A-1220 Vienna Austria Johannes Kepler Univ Linz A-4040 Linz Austria

ISBN: (纸本)9781479943098

As a novelty, in this paper we present an event-based stereo vision matching approach based on time-correlation using segmentation to restrict the matching process to active image areas, exploiting the event-driven behavior of a silicon retina sensor. Stereo matching is used in depth generating camera systems for solving the correspondence problem and reconstructing 3D data. Using conventionally frame-based cameras, this correspondence problem is a time consuming and computationally expensive task. To overcome this issue, embedded systems can be used to speed up the calculation of stereo matching results. the silicon retina delivers asynchronous events if the illumination changes instead of synchronous intensity or color images. It provides sparse input data and therefore the output of the stereo vision algorithm (depth map) is also sparse. the high temporal resolution of such event-driven sensors leads to high data rates. To handle these and the correspondence problem in real time, we implemented our stereo matching algorithm for a field programmable gate array (FPGA). the results show that our matching criterion, based on the time of occurrence of an event, leads to a small average distance error and the parallel hardware architecture and efficient memory utilization results in a frame rate of up to 1140fps.

关键词： Stereo image processing

来源：评论

学校读者我要写书评

暂无评论

A Novel HDR Depth Camera for Real-time 3D 360° Panoramic vision

A Novel HDR Depth Camera for Real-time 3D 360° Panoramic Vi...

引用

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

作者： Belbachir, Ahmed Nabil Schraml, Stephan Mayerhofer, Manfred Hofstaetter, Michael AIT Austrian Inst Technol New Sensor Technol Business Unit Safety & Secur Dept A-1220 Vienna Austria

ISBN: (纸本)9781479943098

this paper presents a novel 360 degrees High-Dynamic Range (HDR) camera for real-time 3D 360 degrees panoramic computer vision. the camera consists of (1) a pair of bio-inspired dynamic vision line sensors (1024 pixel each) asynchronously generating events at high temporal resolution with on-chip time stamping (1 mu s resolution), having a high dynamic range and the sparse visual coding of the information, (2) a high-speed mechanical device rotating at up to 10 revolutions per sec (rps) on which the pair of sensor is mounted and (3) a processing unit for the configuration of the detector chip and transmission of its data through a slip ring and a gigabit Ethernet communication to the user. Within this work, we first present the new camera, its individual components and resulting panoramic edge map. In a second step, we developed a method for reconstructing the intensity images out of the event data generated by the sensors. the algorithm maps the recorded panoramic views into graylevel images by using a transform coefficient. In the last part of this work, anaglyph representation and 3D reconstruction results out of the stereo images are shown. the experimental results show the capabilities of the new camera to generate 10 x 3D panoramic views per second in real-time at an image resolution of 5000x1024 pixel and intra-scene dynamic range of more than 120 dB under natural illuminations. the camera potential for 360 degrees depth imaging and mobile computer vision is briefly highlighted.

关键词： 3D 360° panoramic vision dynamic vision sensors event-driven vision HDR imaging

来源：评论

学校读者我要写书评

暂无评论

Exploiting Traffic Scene Disparity Statistics for Stereo vision

Exploiting Traffic Scene Disparity Statistics for Stereo Vis...

引用

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

作者： Gehrig, Stefan K. Franke, Uwe Schneider, Nicolai Daimler AG HPC 050-G024 D-71059 Sindelfingen Germany IT Designers GmbH D-73070 Esslingen Germany

ISBN: (纸本)9781479943098

Advanced Driver Assistance Systems benefit from a full 3D reconstruction of the environment in real-time, often obtained via stereo vision. Semi-Global Matching (SGM) is a popular stereo algorithm for solving this task which is already in use for production vehicles. Despite this progess, one key challenge remains: stereo vision during adverse weather conditions such as rain, snow and low-lighting. Current methods generate many disparity outliers and false positives on a segmentation level under such conditions. these shortcomings are alleviated by integrating prior scene knowledge. We formulate a scene prior that exploits knowledge of a representative traffic scene, which we apply to SGM and Graph Cut based disparity estimation. the prior is learned from traffic scene statistics extracted during good weather. Using this prior, the object detection rate is maintained on a driver assistance database of 3000 frames including bad weather while reducing the false positive rate significantly. Similar results are obtained for the KITTI dataset, maintaining excellent performance in good weather conditions. We also show that this scene prior is easy and efficient to implement both on CPU platforms and on reconfigurable hardware platforms. the concept can be extended to other application areas such as indoor robotics, when prior information of the disparity distribution is gathered.

关键词： FPGA embedded vision scene prior semi-global matching stereo vision

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 << < 75 76 77 78 79 80 81 82 83 84 > >>

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：