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

6,506 篇 会议
29 篇 期刊文献
10 册 图书

馆藏范围

6,544 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

3,906 篇 工学
- 3,683 篇 计算机科学与技术...
- 1,504 篇 软件工程
- 802 篇 光学工程
- 359 篇 信息与通信工程
- 256 篇 控制科学与工程
- 204 篇 机械工程
- 176 篇 电气工程
- 95 篇 生物医学工程（可授...
- 79 篇 生物工程
- 77 篇 电子科学与技术（可...
- 61 篇 仪器科学与技术
- 38 篇 建筑学
- 36 篇 力学（可授工学、理...
- 34 篇 土木工程
- 31 篇 航空宇航科学与技...
- 31 篇 安全科学与工程
- 22 篇 材料科学与工程（可...
- 22 篇 交通运输工程
1,537 篇 理学
- 980 篇 物理学
- 960 篇 数学
- 376 篇 统计学（可授理学、...
- 152 篇 生物学
- 34 篇 系统科学
- 24 篇 化学
168 篇 管理学
- 120 篇 图书情报与档案管...
- 50 篇 管理科学与工程(可...
- 33 篇 工商管理
139 篇 医学
- 138 篇 临床医学
- 21 篇 基础医学(可授医学...
20 篇 法学
- 19 篇 社会学
11 篇 农学
10 篇 教育学
7 篇 经济学
3 篇 军事学
3 篇 艺术学

主题

2,304 篇 computer vision
871 篇 pattern recognit...
640 篇 cameras
634 篇 computer science
577 篇 face recognition
553 篇 layout
523 篇 image segmentati...
509 篇 conferences
503 篇 shape
450 篇 robustness
438 篇 object recogniti...
390 篇 humans
341 篇 feature extracti...
318 篇 training
307 篇 object detection
261 篇 application soft...
259 篇 image recognitio...
250 篇 lighting
239 篇 image reconstruc...
237 篇 computational mo...

机构

44 篇 microsoft resear...
26 篇 department of co...
21 篇 swiss fed inst t...
21 篇 school of comput...
20 篇 department of co...
19 篇 swiss fed inst t...
19 篇 carnegie mellon ...
18 篇 department of co...
17 篇 department of in...
17 篇 the robotics ins...
17 篇 institute of com...
16 篇 univ sci & techn...
16 篇 robotics institu...
15 篇 tsinghua univ pe...
14 篇 department of el...
14 篇 school of comput...
14 篇 school of comput...
13 篇 univ maryland co...
13 篇 microsoft resear...
13 篇 microsoft resear...

作者

39 篇 timofte radu
28 篇 s.k. nayar
25 篇 xiaoou tang
25 篇 huang thomas s.
22 篇 t. kanade
20 篇 t.s. huang
19 篇 van gool luc
19 篇 t. darrell
19 篇 chellappa rama
18 篇 nayar shree k.
17 篇 a.k. jain
17 篇 a. zisserman
17 篇 jain anil k.
17 篇 zisserman andrew
16 篇 g. healey
16 篇 torralba antonio
16 篇 heung-yeung shum
16 篇 l. van gool
15 篇 zhang lei
15 篇 li stan z.

语言

6,544 篇 英文
1 篇 其他

检索条件"任意字段=2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005"

共 6545 条记录，以下是4861-4870 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：

Appearance Learning by Adaptive Kalman Filters for FLIR Tracking

Appearance Learning by Adaptive Kalman Filters for FLIR Trac...

引用

ieee computer society conference on computer vision and pattern recognition Workshops

作者： Vijay Venkataraman Guoliang Fan Xin Fan Joseph P. Havlicek School of Electrical & Computer Engineering Oklahoma State University School of Electrical & Computer Engineering OklahomaState University School of Electrical & Computer Engineering University of Oklahoma

ISBN: (纸本)9781424439942

This paper addresses the challenging issue of target tracking and appearance learning in Forward Looking Infrared (FLIR) sequences. Tracking and appearance learning are formulated as a joint state estimation problem with two parallel inference processes. Specifically, a new adaptive Kalman filter is proposed to learn histogram-based target appearances. A particle filter is used to estimate the target position and size, where the learned appearance plays an important role. Our appearance learning algorithm is compared against two existing methods and experiments on the AMCOM FLIR dataset validate its effectiveness.

关键词： Target tracking State estimation Particle filters Inference algorithms

来源：评论

学校读者我要写书评

暂无评论

Coupled Bayesian Framework for Dual Energy Image Registration

Coupled Bayesian Framework for Dual Energy Image Registratio...

引用

conference on computer vision and pattern recognition (cvpr)

作者： Hao Wu Yunqiang Chen Tong Fang University of Maryland MD USA Siemens AG Corporate Research and Development Princeton NJ USA

Image registration for X-ray dual energy imaging is challenging due to the overlaid transparent layers (i.e., the bone and soft tissue) and the different appearances between the dual images acquired with X-rays at different energy spectra. Moreover, subpixel accuracy is necessary for good reconstruction of the bone and soft-tissue layers. This paper addresses these problems with a novel coupled Bayesian framework, in which the registration and reconstruction can effectively reinforce each other. With the reconstruction results, we can design accurate matching criteria for aligning the dual images, instead of treating them as multi-modality registration. Furthermore, prior knowledge of the bone and soft tissue can be exploited to detect poor reconstruction due to inaccurate registration; and hence correct registration errors in the coupled framework. A multiscale freeform registration algorithm is implemented to achieve subpixel registration accuracy. Promising results are obtained in the experiments.

关键词： Bayesian methods Image registration Bones Biological tissues Image reconstruction X-ray imaging Optical imaging Attenuation Educational institutions computer vision

来源：评论

学校读者我要写书评

暂无评论

The viewing graph

The viewing graph

引用

conference on computer vision and pattern recognition (cvpr)

作者： N. Levi M. Werman School of Computer Science Hebrew University of Jerusalem Jerusalem Israel

The problem we study is: given N views and a subset of the (/sub 2//sup N/) interview fundamental matrices, which of the other fundamental matrices can we compute using only the pre-computed fundamental matrices. This has applications in 3D (three-dimensional) reconstruction and when we want to reproject an area of one view on another, or to compute epipolar lines when the correspondence problem is too difficult to compute between every two views. A complete solution using linear algorithms to compute the missing fundamental matrices are given for up to six views. In many cases problems with more than six views can also be handled.

关键词： Tensile stress Cameras computer vision computer science Computational geometry Layout Three dimensional displays Equations computer society pattern recognition

来源：评论

学校读者我要写书评

暂无评论

Trajectories and events

Trajectories and events

引用

conference on computer vision and pattern recognition (cvpr)

作者： S.M. Haynes R. Jain AI Laboratory Department of EECS University of Michigan Ann Arbor MI USA

A solution to the correspondence problem using constraint satisfaction is described. It uses a real-time line-fitting algorithm to detect changes in a point's motion parameters as they happen. A trajectory is hypothesized for a single point's motion. Since the event detected may be wrong, multiple trajectories are hypothesized for each point. A correspondence is drawn from the set of hypothesized trajectories. The algorithm is robust, working on noisy and non-rigid motion data, and does not use false precision.< >

关键词： Position measurement Event detection Artificial intelligence Laboratories Motion detection Robustness computer vision Geometry Stereo vision Equations

来源：评论

学校读者我要写书评

暂无评论

An Integrated Model of Top-Down and Bottom-Up Attention for Optimizing Detection Speed

An Integrated Model of Top-Down and Bottom-Up Attention for ...

引用

conference on computer vision and pattern recognition (cvpr)

作者： V. Navalpakkam L. Itti Department of Computer Science Neuroscience Graduate Program University of Southern California USA

Integration of goal-driven, top-down attention and image-driven, bottom-up attention is crucial for visual search. Yet, previous research has mostly focused on models that are purely top-down or bottom-up. Here, we propose a new model that combines both. The bottom-up component computes the visual salience of scene locations in different feature maps extracted at multiple spatial scales. The topdown component uses accumulated statistical knowledge of the visual features of the desired search target and background clutter, to optimally tune the bottom-up maps such that target detection speed is maximized. Testing on 750 artificial and natural scenes shows that the model’s predictions are consistent with a large body of available literature on human psychophysics of visual search. These results suggest that our model may provide good approximation of how humans combine bottom-up and top-down cues such as to optimize target detection speed.

关键词： Object detection Layout Biological system modeling Humans Face detection Acceleration Robots Navigation Surveillance computer science

来源：评论

学校读者我要写书评

暂无评论

Segmentation and grouping of object boundaries using energy minimization

Segmentation and grouping of object boundaries using energy ...

引用

conference on computer vision and pattern recognition (cvpr)

作者： D.A. Trytten M. Tuceryan Department of Computer Science Michigan State University East Lansing MI USA

An algorithm is described which performs curvilinear grouping of image edge elements for detecting object boundaries. The method works by generating hypotheses and selecting the best one. A neighborhood definition based on Delaunay graph is used to keep the number of generated hypotheses small. An energy minimizing curve is fit to the generated hypotheses to evaluate the grouping and locate discontinuities.< >

关键词： Image edge detection Object detection Image segmentation Minimization methods computer science Detection algorithms Image reconstruction Humans Data preprocessing Detectors

来源：评论

学校读者我要写书评

暂无评论

Role of shape and kinematics in human movement analysis

Role of shape and kinematics in human movement analysis

引用

conference on computer vision and pattern recognition (cvpr)

作者： A. Veeraraghavan A.R. Chowdhury R. Chellappa Department of ECE University of Maryland College Park USA Department of Electrical Engineering University of California Riverside USA

Human gait and activity analysis from video is presently attracting a lot of attention in the computer vision community. In this paper we analyze the role of two of the most important cues in human motion-shape and kinematics. We present an experimental framework whereby it is possible to evaluate the relative importance of these two cues in computer vision based recognition algorithms. In the process, we propose a new gait recognition algorithm by computing the distance between two sequences of shapes that lie on a spherical manifold. In our experiments, shape is represented using Kendall's definition of shape. Kinematics is represented using a Linear Dynamical system We place particular emphasis on human gait. Our conclusions show that shape plays a role which is more significant than kinematics in current automated gait based human identification algorithms. As a natural extension we study the role of shape and kinematics in activity recognition. Our experiments indicate that we require models that contain both shape and kinematics in order to perform accurate activity classification. These conclusions also allow us to explain the relative performance of many existing methods in computer-based human activity modeling.

关键词： Kinematics Humans computer vision Motion analysis Educational institutions Biological system modeling Biometrics Algorithm design and analysis Active shape model Psychology

来源：评论

学校读者我要写书评

暂无评论

Toward a scale-space aspect graph: solids of revolution

Toward a scale-space aspect graph: solids of revolution

引用

conference on computer vision and pattern recognition (cvpr)

作者： Sung-Il Pae J. Ponce Department of Computer Science and Beckman Institute University of Illinois Urbana IL USA

This paper addresses the problem of constructing the scale-space aspect graph of a solid of revolution whose surface is the zero set of a polynomial volumetric density undergoing a Gaussian diffusion process. Equations for the associated visual event surfaces are derived, and polynomial curve tracing techniques are used to delineate these surfaces. An implementation and examples are presented, and limitations as well as extensions of the proposed approach are discussed.

关键词： Polynomials Geometry Diffusion processes Cameras Gaussian processes computer science Solid modeling Object recognition Image resolution Spatial resolution

来源：评论

学校读者我要写书评

暂无评论

A discriminative learning framework with pairwise constraints for video object classification

A discriminative learning framework with pairwise constraint...

引用

conference on computer vision and pattern recognition (cvpr)

作者： Rong Yan Jian Zhang Jie Yang A. Hauptmann School of Computer Science Carnegie Mellon University Pittsburgh PA USA

In video object classification, insufficient labeled data may at times be easily augmented with pairwise constraints on sample points, i.e, whether they are in the same class or not. In this paper, we proposed a discriminative learning approach, which incorporates pairwise constraints into a conventional margin-based learning framework. The proposed approach offers several advantages over existing approaches dealing with pairwise constraints. First, as opposed to learning distance metrics, the new approach derives its classification power by directly modeling the decision boundary. Second, most previous work handles labeled data by converting them to pairwise constraints and thus leads too much more computation. The proposed approach can handle pairwise constraints together with labeled data so that the computation is greatly reduced. The proposed approach is evaluated on a people classification task with two surveillance video datasets.

关键词： Feedback Surveillance Training data Time factors Humans computer science Streaming media Video sharing Cameras Video sequences

来源：评论

学校读者我要写书评

暂无评论

recognition of handwritten phrases as applied to street name images

Recognition of handwritten phrases as applied to street name...

引用

conference on computer vision and pattern recognition (cvpr)

作者： G. Kim V. Govindaraju Center of Excellence for Document Analysis and Recognition State University of New York University at Buffalo Amherst NY USA

A method for recognition of street name phrases collected from mail pieces is presented in this paper. Some of the challenges posed by the problem are: (i) patron errors, (ii) non-standardized way of abbreviating names, and (iii) variable number of words in a street name image. A neural network has been designed to segment words in a phrase, a street name in this case, using distances between components and style of writing. The network learns the type of spacing (including size) that one should expect between different pairs of characters in handwritten test. Experiments show perfect word segmentation performance at about 85% of cases. Unlike conventional methods, where lexicon entries are expanded to take care of all variations of prefixes and sizes, substring matching is attempted only between the main body of a lexicon entry and the word segments of an image. Efforts to reduce computational complexity are successfully made by the sharing of character segmentation results between the segmentation and recognition phases. 83% phrase recognition accuracy is achieved on a test set.

关键词： Handwriting recognition Image recognition Image segmentation Character recognition Writing Statistics Venus Text analysis Image analysis Postal services

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500页 << < 483 484 485 486 487 488 489 490 491 492 > >>

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：