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

6,542 篇 英文
3 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3941-3950 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：

Spectral segmentation with multiscale graph decomposition

Spectral segmentation with multiscale graph decomposition

引用

conference on computer vision and pattern recognition (cvpr)

作者： T. Cour F. Benezit J. Shi Computer and Information Science University of Pennsylvania Philadelphia PA USA Applied Mathematics Department Ecole Polytechnique Palaiseau France

We present a multiscale spectral image segmentation algorithm. In contrast to most multiscale image processing, this algorithm works on multiple scales of the image in parallel, without iteration, to capture both coarse and fine level details. The algorithm is computationally efficient, allowing to segment large images. We use the normalized cut graph partitioning framework of image segmentation. We construct a graph encoding pairwise pixel affinity, and partition the graph for image segmentation. We demonstrate that large image graphs can be compressed into multiple scales capturing image structure at increasingly large neighborhood. We show that the decomposition of the image segmentation graph into different scales can be determined by ecological statistics on the image grouping cues. Our segmentation algorithm works simultaneously across the graph scales, with an inter-scale constraint to ensure communication and consistency between the segmentations at each scale. As the results show, we incorporate long-range connections with linear-time complexity, providing high-quality segmentations efficiently. Images that previously could not be processed because of their size have been accurately segmented thanks to this method.

关键词： Image segmentation Partitioning algorithms Image coding Signal processing algorithms Information science Mathematics Image processing Pixel Statistics Animals

来源：评论

学校读者我要写书评

暂无评论

The pattern cognition and classification used ART ueural uetwork

The pattern cognition and classification used ART ueural uet...

引用

ICEMS 2005: 8th International conference on Electrical Machines nd Systems

作者： Author, Jun-Hyeok Son Scriber, Bo-Hyeok Graduate School of Electrical Engineering and Computer Science Kyungpook National University Korea Republic of School of Electrical Engineering and Computer Science Kyungpook National University Korea Republic of

ISBN: (纸本)7506274078

This paper classify using Adaptive Resonance Theory 1(ART1) as a vigilance parameter of pattern clustering algorithm. Inherent characteristics of the model are analyzed. In particular the vigilance parameter and its role in classification of patterns is examined. Our estimates show that the vigilance parameter as designed originally does not necessarily increase the number of categories with its value but can decrease also. This is against the claim of solving the stability-plasticity dilemma. However, we have proposed a modified vigilance parameter setting criterion which takes into account the problem of subset and superset patterns and stably categorizes arbitrarily many input patterns in one list presentation when the vigilance parameter is closer to one. And this paper goal is the input pattern cognition and classification using neural network.

关键词： pattern recognition

来源：评论

学校读者我要写书评

暂无评论

Natural scene classification and retrieval using ridgelet-based image signatures

Natural scene classification and retrieval using ridgelet-ba...

引用

7th International conference on Advanced Concepts for Intelligent vision Systems

作者： Le Borgne, H O'Connor, N Dublin City Univ Ctr Digital Video Proc Dublin 9 Ireland

ISBN: (纸本)354029032X

This paper deals with knowledge extraction from visual data for content-based image retrieval of natural scenes. Images are analysed using a ridgelet transform that enhances information at different scales, orientations and spatial localizations. The main contribution of this work is to propose a method that reduces the size and the redundancy of this ridgelet representation, by defining both global and local signatures that are specifically designed for semantic classification and content-based retrieval. An effective recognition system can be built when these descriptors are used in conjunction with a support vector machine (SVM). Classification and retrieval experiments are conducted on natural scenes, to demonstrate the effectiveness of the approach.

关键词： pattern recognition

来源：评论

学校读者我要写书评

暂无评论

Algebraically accurate volume registration using Euler's theorem and the 3D pseudo-polar FFT

Algebraically accurate volume registration using Euler's the...

引用

conference on computer vision and pattern recognition (cvpr)

作者： Y. Keller A. Averbuch Y. Shkolnisky Department of Mathematics Yale University New Heaven CT USA Department of Computer Science Tel-Aviv University Tel-Aviv Israel

We present an algorithm for the registration of rotated and translated volumes, which operates in the frequency domain. The Fourier domain allows to compute the rotation and translation parameters separately, thus reducing a problem with six degrees of freedom to two problems of three degrees of freedom each. We propose a three-step procedure. The first step estimates the rotation axis. The second computes the planar rotation relative to the rotation axis, and the third recovers the translational displacement by using the phase correlation technique. The rotation estimation is based on Euler's theorem, which allows to represent a rotation using only three parameters. Two parameters represent the rotation axis and one parameter represents the planar rotation perpendicular to the axis. By using the 3D pseudo-polar FFT, the estimation of the rotation axis is shown to be algebraically accurate. A variant of the angular difference function registration algorithm is derived for the estimation of the planar rotation around the axis. The experimental results show that the algorithm is accurate and robust to noise.

关键词： Rough surfaces Surface roughness Optimization methods Iterative algorithms Iterative closest point algorithm Frequency domain analysis Cost function Motion estimation Fourier transforms Mathematics

来源：评论

学校读者我要写书评

暂无评论

Space-time behavior based correlation

Space-time behavior based correlation

引用

conference on computer vision and pattern recognition (cvpr)

作者： E. Shechtman M. Irani Department of Computer Science and Applied Math Weizmann Institute of Science Rehovot Israel

We introduce a behavior-based similarity measure which tells us whether two different space-time intensity patterns of two different video segments could have resulted from a similar underlying motion field. This is done directly from the intensity information, without explicitly computing the underlying motions. Such a measure allows us to detect similarity between video segments of differently dressed people performing the same type of activity. It requires no foreground/background segmentation, no prior learning of activities, and no motion estimation or tracking. Using this behavior-based similarity measure, we extend the notion of 2-dimensional image correlation into the 3-dimensional space-time volume, thus allowing to correlate dynamic behaviors and actions. Small space-time video segments (small video clips) are "correlated" against entire video sequences in all three dimensions (x,y, and t). Peak correlation values correspond to video locations with similar dynamic behaviors. Our approach can detect very complex behaviors in video sequences (e.g., ballet movements, pool dives, running water), even when multiple complex activities occur simultaneously within the field-of-view of the camera.

关键词： Motion estimation Video sequences Motion measurement Image segmentation Videoconference Performance evaluation Tracking Volume measurement Optical filters Apertures

来源：评论

学校读者我要写书评

暂无评论

Estimating 3D shape and texture using pixel intensity, edges, specular highlights, texture constraints and a prior

Estimating 3D shape and texture using pixel intensity, edges...

引用

conference on computer vision and pattern recognition (cvpr)

作者： S. Romdhani T. Vetter Computer Science Department University of Basel Basel Switzerland

We present a novel algorithm aiming to estimate the 3D shape, the texture of a human face, along with the 3D pose and the light direction from a single photograph by recovering the parameters of a 3D morphable model. Generally, the algorithms tackling the problem of 3D shape estimation from image data use only the pixels intensity as input to drive the estimation process. This was previously achieved using either a simple model, such as the Lambertian reflectance model, leading to a linear fitting algorithm. Alternatively, this problem was addressed using a more precise model and minimizing a non-convex cost function with many local minima. One way to reduce the local minima problem is to use a stochastic optimization algorithm. However, the convergence properties (such as the radius of convergence) of such algorithms, are limited. Here, as well as the pixel intensity, we use various image features such as the edges or the location of the specular highlights. The 3D shape, texture and imaging parameters are then estimated by maximizing the posterior of the parameters given these image features. The overall cost function obtained is smoother and, hence, a stochastic optimization algorithm is not needed to avoid the local minima problem. This leads to the multi-features fitting algorithm that has a wider radius of convergence and a higher level of precision. This is shown on some example photographs, and on a recognition experiment performed on the CMU-PIE image database.

关键词： Shape Convergence Pixel Cost function Stochastic processes Humans Face Reflectivity Parameter estimation Image recognition

来源：评论

学校读者我要写书评

暂无评论

Image features and the 1-D, 2nd order Gaussian derivative jet

Image features and the 1-D, 2nd order Gaussian derivative je...

引用

5th International conference on Scale Space and PDE Methods in computer vision, Scale-Space 2005

作者： Griffin, Lewis D. Lillholm, Martin Computer Science University College London United Kingdom IT University of Copenhagen Denmark

We review a previously presented proposal - Geometric Texton Theory (GTT) - that feature categories naturally arise through consideration of the maximum likelihood explanations for image measurements by gaussian derivative filters. We present results relevant to this proposal for the case of 1-D measurement by filters of 0th, 1st and 2nd order. The results are consistent with GTT. © Springer-Verlag Berlin Heidelberg 2005.

关键词： Image processing

来源：评论

学校读者我要写书评

暂无评论

3D Face recognition Using Two Views Face Modeling and Labeling

3D Face Recognition Using Two Views Face Modeling and Labeli...

引用

ieee computer society conference on computer vision and pattern recognition Workshops (cvprW)

作者： Yi Sun Lijun Yin Computer Science Department State University of New York Binghamton Binghamton NY USA

The ability to distinguish different people by using 3D facial information is an active research problem being undertaken by the face recognition community. In this paper, we propose to use a generic model to label the 3D facial features. This approach relies on our realistic face modeling technique, by which the individual face model is created using a generic model and two views of a face. In the individualized model, we label the face features by their maximum and minimum curvatures. Among the labeled features, the "good features" are selected by using a Genetic Algorithm based approach. The feature space is then formed by using these new 3D shape descriptors, and each individual face is classified according to its feature space correlation. We applied 72 individual models for the test. The experimental results show that the shape information obtained from the 3D individualized model can be used to classify and identify individual facial surfaces. The rank-four correct recognition rate is about 92%. The 3D individualized model provides consistent and sufficient details to represent individual faces while using a much more simpli?ed representation than the range data models. This work provides the possibility to reduce the complexity of 3D data processing, and is feasible for real applications such as in a non-cooperative imaging circumstance or in the situation when range data using 3D scanners are not possible to acquire.

关键词： Face recognition Labeling Shape Facial animation Data processing Sun computer science Facial features Genetic algorithms Testing

来源：评论

学校读者我要写书评

暂无评论

Sensing Deforming and Moving Objects with Commercial Off the Shelf Hardware

Sensing Deforming and Moving Objects with Commercial Off the...

引用

ieee computer society conference on computer vision and pattern recognition Workshops (cvprW)

作者： Philip Fong F. Buron Department of Computer Science University of Stanford CA USA

In many application areas, there exists a crucial need for capturing 3D videos of fast moving and/or deforming objects. A 3D video is a sequence of 3D representations at high time and space resolution. Although many 3D sensing techniques are available, most cannot deal with dynamic scenes (e.g. laser scanning), can only deal with textured surfaces (e.g. stereo vision) and/or require expensive specialized hardware. This paper presents a technique to compute high-resolution range maps from single images of moving and deformable objects. A camera observes the deformation of a projected light pattern that combines a set of parallel colored stripes and a perpendicular set of sinusoidal intensity stripes. While the colored stripes allow recovering absolute depths at coarse resolution, the sinusoidal intensity stripes give dense relative depths. This twofold pattern makes it possible to extract a high-resolution range map from each image captured by the camera. This approach is based on sound mathematical principles, but its implementation requires giving great care to a number of low-level details. In particular, the sensor has been implemented using commercial off the shelf hardware, which distorts sensed and transmitted signals in many ways. A novel method was developed to characterize and compensate for distortions due to chromatic aberrations. The sensor has been tested on several moving and deforming objects.

关键词： Hardware Videos Cameras Sensor phenomena and characterization Layout Surface texture Surface emitting lasers Stereo vision Acoustic sensors Distortion

来源：评论

学校读者我要写书评

暂无评论

Cascaded Sequential Attention for Object recognition with Informative Local Descriptors and Q-learning of Grouping Strategies

Cascaded Sequential Attention for Object Recognition with In...

引用

ieee computer society conference on computer vision and pattern recognition Workshops (cvprW)

作者： L. Paletta G. Fritz C. Seifert Joanneum Research Forschungsgesellschaft mbH Institute of Digital Image Processing Graz Austria

The contribution of this work is to provide a three-stage architecture for sequential attention to provide a system being capable of sensorimotor object detection in real world environments. The first processing stage provides selected foci of interest in the image based on the extraction of information theoretic saliency of local image descriptors (i-SIFT). The second stage investigates the information in the local attention window using a codebook matcher, providing local weak hypotheses about the identity of the object under investigation. The third stage then proposes a shift of attention to a next attention window. The working hypothesis is to expect a better discrimination from the integration of both the individual local FOA patterns and the geometric relation between them, providing a model of more global information representation, and feeding into a recognition state in the Markov Decision Process (MDP). A reinforcement learner (Q-learner) performs then explorative search on useful actions, i.e., shifts of attention, towards locations of salient information, developing a strategy of useful action sequences being directed in state space towards the optimization of discrimination by information maximization. The method is evaluated in experiments using the COIL-20 database (indoor imagery) and the TSG-20 database (outdoor imagery) to demonstrate efficient performance in object detection tasks, proving the method being more accurate and computationally much less expensive than standard SIFT based recognition.

关键词： Object recognition Layout Humans Object detection Data mining pattern recognition Image databases Psychology Encoding Sampling methods

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 << < 391 392 393 394 395 396 397 398 399 400 > >>

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：