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

1,574 篇 会议
106 篇 期刊文献
3 册 图书

馆藏范围

1,682 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

1,342 篇 工学
- 1,233 篇 计算机科学与技术...
- 1,087 篇 软件工程
- 443 篇 光学工程
- 144 篇 控制科学与工程
- 131 篇 信息与通信工程
- 99 篇 电气工程
- 78 篇 生物医学工程（可授...
- 68 篇 电子科学与技术（可...
- 59 篇 生物工程
- 51 篇 机械工程
- 40 篇 仪器科学与技术
- 33 篇 建筑学
- 32 篇 土木工程
- 12 篇 材料科学与工程（可...
- 12 篇 化学工程与技术
- 11 篇 力学（可授工学、理...
- 9 篇 交通运输工程
- 8 篇 航空宇航科学与技...
749 篇 理学
- 492 篇 物理学
- 483 篇 数学
- 147 篇 统计学（可授理学、...
- 66 篇 生物学
- 13 篇 化学
59 篇 管理学
- 41 篇 图书情报与档案管...
- 20 篇 管理科学与工程(可...
49 篇 医学
- 49 篇 临床医学
- 11 篇 基础医学(可授医学...
- 10 篇 药学(可授医学、理...
12 篇 农学
- 12 篇 作物学
10 篇 法学
- 9 篇 社会学
4 篇 教育学
3 篇 艺术学
1 篇 经济学
1 篇 文学
1 篇 军事学

主题

837 篇 image processing
140 篇 pattern recognit...
98 篇 image segmentati...
89 篇 computer vision
57 篇 pattern recognit...
47 篇 cameras
47 篇 image analysis
45 篇 image reconstruc...
42 篇 layout
39 篇 stereo image pro...
36 篇 shape
33 篇 color image proc...
30 篇 computer science
29 篇 image coding
26 篇 image edge detec...
26 篇 feature extracti...
24 篇 robustness
23 篇 application soft...
23 篇 pixel
23 篇 image recognitio...

机构

10 篇 univ of southern...
7 篇 univ of maryland...
6 篇 univ of southern...
6 篇 univ of michigan...
5 篇 center for autom...
5 篇 artificial intel...
4 篇 microsoft resear...
4 篇 institute of int...
4 篇 university of to...
4 篇 harvard univ cam...
4 篇 univ of maryland...
4 篇 univ of rocheste...
4 篇 signal and image...
4 篇 univ of illinois...
4 篇 univ of texas au...
4 篇 columbia univ ny
3 篇 univ of york yor...
3 篇 univ of massachu...
3 篇 dept. of compute...
3 篇 inria le chesnay

作者

21 篇 anon
16 篇 haralick robert ...
14 篇 aggarwal j.k.
13 篇 rosenfeld azriel
10 篇 lee seong-whan
10 篇 chellappa r.
10 篇 fu k.s.
9 篇 huang thomas s.
9 篇 jain anil k.
9 篇 schunck brian g.
9 篇 ahuja narendra
8 篇 peleg shmuel
8 篇 oosterlinck a.
8 篇 kashyap r.l.
7 篇 chellappa rama
7 篇 shapiro linda g.
7 篇 van den berghe h...
7 篇 huang t.s.
6 篇 zucker steven w.
6 篇 jain ramesh

语言

1,568 篇 英文
99 篇 其他
19 篇 中文
1 篇 葡萄牙文

检索条件"任意字段=Proceedings - 1982 IEEE Computer Society Conference on Pattern Recognition and Image Processing."

共 1683 条记录，以下是1421-1430 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：

Base line correction for handwritten word recognition 3

Base line correction for handwritten word recognition

引用

3rd International conference on Document Analysis and recognition, ICDAR 1995

作者： Tsuruoka, S. Watanabe, N. Minamide, N. Kimura, F. Miyake, Y. Shridhar, M. Department of Electrical and Electronic Engineering Mie University 1515 Kamihama-cho Tsu Mie514 Japan Department of Information Engineering Mie University 1515 Kamihama-cho Tsu Me514 Japan Department of Electrical and Computer Engineering University of Michigan-Dearborn DearbornMI48128-1491 United States

ISBN: (纸本)0818671289

The authors have researched two-letter state name (state name abbreviation) recognition and full state name recognition. According to this research, they think that the accuracy of the character segmentation is essential to recognize the word correctly, and it depends on the normalization of the word image. The normalization includes smoothing, underline removal, spurious blob removal, slant and base line correction etc. They present a new base line correction algorithm for the off-line handwritten words, which include cursive (continuous or running) words and hand-printed words. It uses background region analysis with the lower convex hull which is background area closed for three directions (upper, right, left), and the upper and bottom profiles of the merged convex hull. The authors show that the new method of base line correction is very powerful for most word images for city names of the USPS mail address database. The resulting image is useful for the holistic approach, and it's effective even when the image includes parts under the base line, for example, »f», »g», »j», or a very large character. © 1995 ieee.

关键词： image segmentation

来源：评论

学校读者我要写书评

暂无评论

HyperDepth: Learning depth from structured light without matching

HyperDepth: Learning depth from structured light without mat...

引用

2016 ieee conference on computer Vision and pattern recognition, CVPR 2016

作者： Fanello, Sean Ryan Rheman, Christoph Tankovich, Vladimir Kowdle, Adarsh Escolano, Sergio Orts Kim, David Izadi, Shahram Microsoft Research United States

ISBN: (纸本)9781467388511

Structured light sensors are popular due to their robustness to untextured scenes and multipath. These systems triangulate depth by solving a correspondence problem between each camera and projector pixel. This is often framed as a local stereo matching task, correlating patches of pixels in the observed and reference image. However, this is computationally intensive, leading to reduced depth accuracy and framerate. We contribute an algorithm for solving this correspondence problem efficiently, without compromising depth accuracy. For the first time, this problem is cast as a classification-regression task, which we solve extremely efficiently using an ensemble of cascaded random forests. Our algorithm scales in number of disparities, and each pixel can be processed independently, and in parallel. No matching or even access to the corresponding reference pattern is required at runtime, and regressed labels are directly mapped to depth. Our GPU-based algorithm runs at a 1KHz for 1.3MP input/output images, with disparity error of 0.1 subpixels. We show a prototype high framerate depth camera running at 375Hz, useful for solving tracking-related problems. We demonstrate our algorithmic performance, creating high resolution real-time depth maps that surpass the quality of current state of the art depth technologies, highlighting quantization-free results with reduced holes, edge fattening and other stereo-based depth artifacts.

关键词： Stereo image processing

来源：评论

学校读者我要写书评

暂无评论

Multi-lingual, multi-font and multi-size large-set character recognition using self-organizing neural network 3

Multi-lingual, multi-font and multi-size large-set character...

引用

3rd International conference on Document Analysis and recognition, ICDAR 1995

作者： Lee, Seong-Whan Kim, Jong-Soo Department of Computer Science Korea University 15-ka Anam-dong Seoul136-701 Korea Republic of Department of Computer Science Chungbuk National University San 48Gaeshin-dong Cheongju Chungbuk360-763 Korea Republic of

ISBN: (纸本)0818671289

In this paper, we propose a practical scheme for multi-lingual) multi-font, and multi-size large-set character recognition using self-organizing neural network. In order to improve the performance of the proposed scheme, a nonlinear shape normalization based on dot density and three kinds of hierarchical features are introduced. For coarse classification, two kinds of classifiers are proposed. One is a hierarchical tree classifier, and the other is a SOFM/LVQ based classifier which is composed of an adaptive SOFM coarseclassifier and LVQ4 language-classifiers. For fine classification, an LVQ4 classifier has been adopted. In order to evaluate the performance of the proposed scheme, recognition experiments with 3,367,200 characters having 7,320 diflerent classes have been carried out on a 486 DX-2 66MHz PC. Experimental results reveal that the proposed scheme using an adaptive SOFM coarse-classifier, LVQ4 languageclassifiers, and LVQ4 fine-classifiers has high recognition rate of over 98.27% and fast execution time of more than 40 characters per second. © 1995 ieee.

关键词： Character recognition

来源：评论

学校读者我要写书评

暂无评论

Uncertainty-driven 6D pose estimation of objects and scenes from a single RGB image

Uncertainty-driven 6D pose estimation of objects and scenes ...

引用

2016 ieee conference on computer Vision and pattern recognition, CVPR 2016

作者： Brachmann, Eric Michel, Frank Krull, Alexander Yang, Michael Ying Gumhold, Stefan Rother, Carsten TU Dresden Dresden Germany

ISBN: (纸本)9781467388511

In recent years, the task of estimating the 6D pose of object instances and complete scenes, i.e. camera localization, from a single input image has received considerable attention. Consumer RGB-D cameras have made this feasible, even for difficult, texture-less objects and scenes. In this work, we show that a single RGB image is sufficient to achieve visually convincing results. Our key concept is to model and exploit the uncertainty of the system at all stages of the processing.pipeline. The uncertainty comes in the form of continuous distributions over 3D object coordinates and discrete distributions over object labels. We give three technical contributions. Firstly, we develop a regularized, auto-context regression framework which iteratively reduces uncertainty in object coordinate and object label predictions. Secondly, we introduce an efficient way to marginalize object coordinate distributions over depth. This is necessary to deal with missing depth information. Thirdly, we utilize the distributions over object labels to detect multiple objects simultaneously with a fixed budget of RANSAC hypotheses. We tested our system for object pose estimation and camera localization on commonly used data sets. We see a major improvement over competing systems.

关键词： Object detection

来源：评论

学校读者我要写书评

暂无评论

Rethinking Implicit Neural Representations For Vision Learners 48

Rethinking Implicit Neural Representations For Vision Learne...

引用

48th ieee International conference on Acoustics, Speech and Signal processing. ICASSP 2023

作者： Song, Yiran Zhou, Qianyu Ma, Lizhuang Shanghai Jiao Tong University China

ISBN: (纸本)9781728163277

Implicit Neural Representations (INRs) are powerful to parameterize continous signals in computer vision. However, almost all INRs methods are limited to low-level tasks, e.g., image/video compression, super-resolution, and image generation. The questions on how to explore INRs to high-level tasks and deep networks are still under-explored. Existing INRs methods suffer from two problems: 1) narrow theoretical definitions of INRs are inapplicable to high-level tasks;2) lack of representation capabilities to deep networks. Motivated by above facts, we reformulate the definitions of INRs from a novel perspective, and propose an innovative Implicit Neural Representation Network (INRN), which is the first study of INRs to tackle both low-level and high-level tasks. Specifically, we present three key designs for basic blocks in INRN along with two different stacking ways and corresponding loss functions. Extensive experiments with analysis on both low-level task (image fitting) and high-level vision tasks (image classification, object detection, instance segmentation) demonstrate the effectiveness of the proposed method. © 2023 ieee.

关键词： computer Vision Implicit Neural Representations pattern recognition Representation Learning

来源：评论

学校读者我要写书评

暂无评论

image Analysis - 18th Scandinavian conference, SCIA 2013, proceedings

Image Analysis - 18th Scandinavian Conference, SCIA 2013, Pr...

引用

18th Scandinavian conference on image Analysis, SCIA 2013

ISBN: (纸本)9783642388859

The proceedings contain 67 papers. The topics discussed include: texture description with completed local quantized patterns;a local image descriptor robust to illumination changes;detection of curvilinear structures by tensor voting applied to fiber characterization;simple-graphs fusion in image mosaic: application to automated cell files identification in wood slices;unsupervised segmentation of anomalies in sequential data, images and volumetric data using multiscale Fourier phase-only analysis;extended 3D Line Segments from RGB-d data for pose estimation;incorporating texture intensity information into LBP-based operators;Bayesian non-parametric image segmentation with Markov random field prior;evaluating local feature detectors in salient region detection;forest stand delineation using a hybrid segmentation approach based on airborne laser scanning data;and mean shift with flatness constraints.

关键词：

来源：评论

学校读者我要写书评

暂无评论

image retrieval with geometry-preserving visual phrases

Image retrieval with geometry-preserving visual phrases

引用

作者： Zhang, Yimeng Jia, Zhaoyin Chen, Tsuhan School of Electrical and Computer Engineering Cornell University United States

ISBN: (纸本)9781457703942

The most popular approach to large scale image retrieval is based on the bag-of-visual-word (BoV) representation of images. The spatial information is usually re-introduced as a post-processing.step to re-rank the retrieved images, through a spatial verification like RANSAC. Since the spatial verification techniques are computationally expensive, they can be applied only to the top images in the initial ranking. In this paper, we propose an approach that can encode more spatial information into BoV representation and that is efficient enough to be applied to large-scale databases. Other works pursuing the same purpose have proposed exploring the word co-occurrences in the neighborhood areas. Our approach encodes more spatial information through the geometry-preserving visual phrases (GVP). In addition to co-occurrences, the GVP method also captures the local and long-range spatial layouts of the words. Our GVP based searching algorithm increases little memory usage or computational time compared to the BoV method. Moreover, we show that our approach can also be integrated to the min-hash method to improve its retrieval accuracy. The experiment results on Oxford 5K and Flicker 1M dataset show that our approach outperforms the BoV method even following a RANSAC verification. © 2011 ieee.

关键词： image retrieval

来源：评论

学校读者我要写书评

暂无评论

Geometric image primitives by complex moments in Gabor space and the application to texture segmentation

Geometric image primitives by complex moments in Gabor space...

引用

conference on computer Vision and pattern recognition (CVPR)

作者： J. Bigun J.M. Hans du Buf Signal Processing Laboratory Swiss Federal Institute of Technology Lausanne Switzerland

An approach to image feature extraction is proposed. Complex moments of the Gabor power spectrum are used to detect linear, rectangular, hexagonal/triangular, and other structures with very fine to very coarse resolut... 详细信息

关键词： image segmentation Space technology Signal processing Laboratories Signal resolution Shape Fitting

来源：评论

学校读者我要写书评

暂无评论

Analysis of player actions in selected hockey game situations 2

Analysis of player actions in selected hockey game situation...

引用

2nd Canadian conference on computer and Robot Vision, CRV 2005

作者： Li, Fahong Woodham, R.J. Department of Computer Science University of British Columbia VancouverBCV6T1Z4 Canada

ISBN: (纸本)0769523196

We present a proof of concept system to represent and reason about hockey play. The system takes as input player motion trajectory data tracked from game video and supported by knowledge of hockey strategy, game situation and specific player profiles. The raw motion trajectory data consists of space-time point sequences of player position registered to rink coordinates. The raw data is augmented with knowledge of forward/backward skating, possession of the puck and specific player attributes (e.g., shoots left, shoots right). We use a finite state machine (FSM) model to represent our total knowledge of given situations and develop evaluation functions for primitive hockey behaviours (e.g., pass, shot). Based on the augmented trajectory data, the FSMs and the evaluation functions, we describe what happened in each identified situation, assess the outcome, estimate when and where key play choices were made, and attempt to predict whether better alternatives were available to achieve understood goals. A textual natural language description and a simple ID graphic animation of the analysis are produced as the output. The design is flexible to allow the substitution of different analysis modules and extensible to allow the inclusion of additional hockey situations. © 2005 ieee.

关键词： Animation

来源：评论

学校读者我要写书评

暂无评论

Estimation of motion parameters for a deformable object from range data

Estimation of motion parameters for a deformable object from...

引用

proceedings CVPR '89: ieee computer society conference on computer Vision and pattern recognition

作者： Chaudhuri, Subhasis Chatterjee, Shankar Univ of California San Diego CA USA

ISBN: (纸本)081861952x

The authors study the estimation of generalized motion parameters for a deformable object from the range data. If the correspondence between two sets of points representing the coordinates of different points of an object undergoing rotational motion and deformation is known, the parameters can be estimated using different least-squares estimators. The total-least-squares (TLS) method is very appropriate when the observation and the data matrices are both perturbed by random noise. For Gaussian-distributed noise, the TLS solution is equivalent to maximum-likelihood estimation. The mean-square error in TLS is always smaller than in an ordinary least-squares (LS) estimator. The scope is analyzed of TLS in estimating the generalized motion parameters, as is the feasibility of decomposing the generalized motion parameters in terms of rotation and deformation parameters. The performance of TLS is compared to that of the LS estimator. It is found that the performance of the LS and TLS methods at low noise levels is almost identical. The accuracy of estimation of direction cosines of the rotation axis and the angle of rotation is not very dependent on whether LS or TLS method is used. However, as the noise level increases in the data matrix, TLS is more accurate in estimating the deformation parameters.

关键词： image processing

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169页 << < 139 140 141 142 143 144 145 146 147 148 > >>

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：