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

369 篇 会议
3 篇 期刊文献
1 册 图书

馆藏范围

373 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

335 篇 工学
- 292 篇 计算机科学与技术...
- 271 篇 控制科学与工程
- 86 篇 电气工程
- 47 篇 软件工程
- 29 篇 光学工程
- 16 篇 机械工程
- 12 篇 仪器科学与技术
- 10 篇 测绘科学与技术
- 8 篇 信息与通信工程
- 5 篇 交通运输工程
- 4 篇 安全科学与工程
- 3 篇 航空宇航科学与技...
- 3 篇 生物工程
- 2 篇 动力工程及工程热...
- 2 篇 建筑学
- 2 篇 土木工程
- 1 篇 电子科学与技术（可...
- 1 篇 化学工程与技术
- 1 篇 轻工技术与工程
218 篇 理学
- 213 篇 物理学
- 13 篇 数学
- 3 篇 生物学
- 2 篇 化学
- 2 篇 统计学（可授理学、...
- 1 篇 地球物理学
21 篇 管理学
- 21 篇 管理科学与工程(可...
- 2 篇 工商管理
16 篇 医学
- 16 篇 临床医学
2 篇 经济学
- 2 篇 应用经济学
2 篇 教育学
- 2 篇 教育学
1 篇 军事学

主题

68 篇 machine vision
55 篇 computer vision
41 篇 robot vision
38 篇 robots
37 篇 computer vision ...
35 篇 image processing
32 篇 mobile robots
31 篇 intelligent robo...
24 篇 robotics
21 篇 image segmentati...
17 篇 cameras
17 篇 object recogniti...
16 篇 stereo vision
15 篇 active vision
15 篇 navigation
15 篇 sensors
14 篇 visualization
12 篇 igvc
10 篇 visual process m...
10 篇 robot vision sys...

机构

21 篇 univ cincinnati ...
6 篇 univ detroit mer...
4 篇 univ. of cincinn...
3 篇 caltech jet prop...
3 篇 tianjin univ sta...
3 篇 us army tardec w...
3 篇 brigham young un...
3 篇 tardec warren mi...
3 篇 tianjin normal u...
3 篇 tianjin univ tec...
3 篇 corrsys gmbh
3 篇 univ of cincinna...
3 篇 univ saskatchewa...
2 篇 csem zurich ctr ...
2 篇 univ quebec ecol...
2 篇 corrsys datron s...
2 篇 brigham young un...
2 篇 univ vaasa dept ...
2 篇 department of co...
2 篇 vtt automation

作者

17 篇 hall el
9 篇 lauinger n
8 篇 theisen bernard ...
7 篇 lee dah-jye
7 篇 paulik mark
7 篇 roning juha
7 篇 krishnan mohan
7 篇 hall e
6 篇 feng weijia
5 篇 schenker ps
5 篇 liao xq
5 篇 luo chaomin
5 篇 zhang baofeng
4 篇 cao m
4 篇 hall ernest l.
4 篇 tippetts beau
4 篇 zong xiaoning
4 篇 hall ernest
3 篇 lyons damian m.
3 篇 viitanen j

语言

367 篇 英文
4 篇 中文
2 篇 其他

检索条件"任意字段=Conference on Intelligent Robots and Computer Vision XXIX - Algorithms and Techniques"

共 373 条记录，以下是181-190 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：

Surface roughness estimation of shot blasted steel bars using machine vision

Surface roughness estimation of shot blasted steel bars usin...

引用

conference on intelligent robots and computer vision XXII - algorithms, techniques and Active vision

作者： Lydén, S Kälviäinen, H Nykänen, J Lappeenranta Univ Technol Dept Informat Proc FIN-53851 Lappeenranta Finland Imatra Steel Imatra FIN-55100 Imatra Finland

ISBN: (纸本)081945561X

During the manufacturing process steel bars are cleaned of roll scale by shot blasting, before further processing the bars by drawing. The main goal of this project is to increase the automation of the shot blasting process by machine vision. For this purpose a method is needed for estimating the surface roughness and other anomalies from the steel bars from digital images after the shot blasting. The goal of this method is to estimate if the quality of shot blasting is sufficient considering the quality of the final products after the drawing. In this project a method for normalising the images is considered and several methods for estimating the actual roughness level are experimented. During the experiments a best method was one where the roughness levels are calculated directly from the images as if the images were similar to other measuring sources and the grey-level values in the images represent the deviation on the bar surface. This at least separates the different samples.

关键词： shot blasting steel bars surface roughness image processing machine vision differential evolution

来源：评论

学校读者我要写书评

暂无评论

techniques for evaluating optical flow for visual odometry in extreme terrain

Techniques for evaluating optical flow for visual odometry i...

引用

2004 IEEE/RSJ International conference on intelligent robots and Systems (IROS)

作者： Campbell, Jason Sukthankar, Rahul Nourbakhsh, Illah Intel Research Pittsburgh Pittsburgh PA United States Robotics Institute Pittsburgh PA United States NASA Ames Research Center Moffett Field CA United States

ISBN: (纸本)0780384636

Motion vision (visual odometry, the estimation of camera egomotion) is a well researched field, yet has seen relatively limited use despite strong evidence from biological systems that vision can be extremely valuable for navigation. The limited use of such vision techniques has been attributed to a lack of good algorithms and insufficient computer power, but both of those problems were resolved as long as a decade ago. A gap presently yawns between theory and practice, perhaps due to perceptions of robot vision as less reliable and more complex than other types of sensing. We present an experimental methodology for assessing the real-world precision and reliability of visual odometry techniques in both normal and extreme terrain. This paper evaluates the performance of a mobile robot equipped with a simple vision system in common outdoor and indoor environments, including grass, pavement, ice, and carpet. Our results show that motion vision algorithms can be robust and effective, and suggest a number of directions for further development.

关键词： Robotics

来源：评论

学校读者我要写书评

暂无评论

A method for integrating vision and laser range measurements in autonomous ground robotic vehicles

A method for integrating vision and laser range measurements...

引用

conference on intelligent robots and computer vision XXII - algorithms, techniques and Active vision

作者： Riggins, RN Mutter, BV Bluefield State Coll Bluefield WV USA

ISBN: (纸本)081945561X

This paper presents a method to integrate non-stereoscopic vision information with laser distance measurements for Autonomous Ground Robotic Vehicles (AGRV). The method assumes a horizontally-mounted Laser Measurement System (LMS) sweeping 180 degrees in front from right to left every one second, and a video camera mounted five feet high pointing to the front and down at 45 degrees to the horizontal. The LMS gives highly accurate obstacle position measurements in a two-dimensional plane whereas the vision system gives limited and not-so-accurate information on obstacle positions in three dimensions. The vision system can also see contrasts between ground markings. Many AGRVs have similar sensors in similar arrangements. The method presented here is general enough for many types of distance measurements and cameras and lenses. Since the data from these two sensors are in radically different formats, AGRVs need a scheme to combine this data into a common format so that the data can be compared and correlated. Having a successful integration method allows the AGRV to make smart path-finding navigation decisions. Integrating these two sensors is one of the challenges for AGRVs that use this approach. The method presented in this paper employs a geometrical approach to combine the two data sets in real time. Tests, accomplished in simulation as well as on an actual AGRV, show excellent results.

关键词： Sensor Integration Autonomous Ground Robotic Vehicles vision Laser Measurement System

来源：评论

学校读者我要写书评

暂无评论

Teaching the computer subjective notions of feature connectedness in a visual scene for real time vision.

Teaching the computer subjective notions of feature connecte...

引用

conference on intelligent robots and computer vision XXII - algorithms, techniques and Active vision

作者： Mundhenk, TN Landauer, C Bellman, K Arbib, NA Itti, L Univ So Calif Dept Comp Sci Henry Salvatori Comp Sci Ctr Los Angeles CA 90089 USA

ISBN: (纸本)081945561X

We discus a tool kit for usage in scene understanding where prior information about targets is not necessarily understood. As such, we give it a notion of connectivity such that it can classify features in an image for the purpose of tracking and identification. The tool VFAT (Visual Feature Analysis Tool) is designed to work in real time in an intelligent multi agent room. It is built around a modular design and includes several fast vision processes. The first components discussed are for feature selection using visual saliency and Monte Carlo selection. Then features that have been selected from an image are mixed into useful and more complex features. All the features are then reduced in dimension and contrasted using a combination of Independent Component Analysis and Principle Component Analysis (ICA/PCA). Once this has been done, we classify features using a custom non-parametric classifier (NPclassify) that does not require hard parameters such as class size or number of classes so that VFAT can create classes without stringent priors about class structure. These classes are then generalized using Gaussian regions which allows easier storage of class properties and computation of probability for class matching. To speed up to creation of Gaussian regions we use a system of rotations instead of the traditional Psuedo-inverse method. In addtion to discussing the structure of VFAT we discuss training of the current system which is relatively easy to perform. ICA/PCA is trained by giving VFAT a large number of random images. The ICA/PCA matrix is computed by features extracted by VFAT. The non-parametric classifier NPclasify it trained by presenting it with images of objects having it decide how many objects it thinks it sees. The difference between what it sees and what it is supposed to see in terms of the number of objects is used as the error term and allows VFAT to learn to classify based upon the experimenters subjective idea of good classification.

关键词： iRoom biological vision tool multi agent saliency real time

来源：评论

学校读者我要写书评

暂无评论

Classical imaging and digital imaging spectrophotometric techniques in cullets (glass fragments) sorting

Classical imaging and digital imaging spectrophotometric tec...

引用

conference on intelligent robots and computer vision XXII - algorithms, techniques and Active vision

作者： Bonifazi, G Univ Roma La Sapienza I-00184 Rome Italy

ISBN: (纸本)081945561X

Cullets optical sorting represents one of the oldest selection procedure applied to the field of solid waste recycling. From the original sorting strategies, mainly addressed to separate non-transparent elements (ceramics, stones, metal particles, etc.) from transparent ones (glass fragments), the attention was addressed to define procedures and actions able to separate the cullets according to their color characteristics and, more recently, to recognize transparent ceramic glass from glass. Cullets sorting is currently realized adopting, as detecting architecture, laser beam technology based devices. The sorting logic is mainly analogical. An "on-off" logic is applied. Detection is, in fact, based on the evaluation of the "characteristics" of the energy (transparent or non-transparent fragment) and the spectra (fragment color attributes) received by a detector after that cullets were crossed by a suitable laser beam light. Such an approach presents some limits related with the technology utilized and the material characteristics. The technological limits are linked to the physical dimension and the mechanical arrangement of the optics carrying out and in the signals, and with the pneumatic architectures enabling the modification of cullets trajectory to realize sorting, according to their characteristics (color and transmittance). Furthermore such devices are practically "blind" in the recognition of ceramic glasses, whose presence in the final selected material to melt, damage the full recycled glass fusion compromising the quality of the final product. In the following it will be described the work developed, and the results achieved, in order to design a full integrated classical digital imaging and spectrophotometric based approach addressed to develop suitable sorting strategies able to perform, at industrial recycling scale, the distinction of cullets both in terms of color and material typologies, that is "real glass" from "ceramic glass" fragments.

关键词： glass recycling cullets sorting image analysis digital imaging based spectrophotometry quality control

来源：评论

学校读者我要写书评

暂无评论

Active learning for robot manipulation 16

Active learning for robot manipulation

引用

16th European conference on Artificial Intelligence, ECAI 2004

作者： Morales, Antonio Chinellato, Eris Fagg, Andrew H. Del Pobil, Angel P. Intelligent Robotics Lab. Univertitat Jaume I Castellon Spain Computer Science Department University of Massachusetts AmherstMA United States

ISBN: (纸本)9781586034528

This paper describes a novel application of active learning techniques in the field of robotic grasping. A vision-based grasping system has been implemented on a humanoid robot. It is able to compute a set of feasible grasps and to execute any of them and measure their actual reliability. An algorithm aimed at predicting the performance of an untested grasp using the results observed on previous similar attempts is presented. The previous experience is stored using a set of vision-based grasp descriptors. Moreover, a second algorithm that actively selects the next grasp to be executed in order to improve the predictive quality of the accumulated experience is introduced. An exhaustive database of experimental data is collected and used to test and validate both algorithms.

关键词： Anthropomorphic robots

来源：评论

学校读者我要写书评

暂无评论

techniques for evaluating optical flow for visual odometry in extreme terrain

Techniques for evaluating optical flow for visual odometry i...

引用

2004 IEEE/RSJ International conference on intelligent robots and Systems (IROS) (IEEE Cat. No.04CH37566)

作者： J. Campbell R. Sukthankar I. Nourbakhsh Robotics Institute Carnegie Mellon Pittsburgh PA USA Intel Research Pittsburgh Pittsburgh PA USA NASA Ames Research Center Moffett Field Moffett Field CA USA

Motion vision (visual odometry, the estimation of camera egomotion) is a well researched field, yet has seen relatively limited use despite strong evidence from biological systems that vision can be extremely valuable for navigation. The limited use of such vision techniques has been attributed to a lack of good algorithms and insufficient computer power, but both of those problems were resolved as long as a decade ago. A gap presently yawns between theory and practice, perhaps due to perceptions of robot vision as less reliable and more complex than other types of sensing. We present an experimental methodology for assessing the real world precision and reliability of visual odometry techniques in both normal and extreme terrain. This paper evaluates the performance of a mobile robot equipped with a simple vision system in common outdoor and indoor environments, including grass, pavement, ice, and carpet. Our results show that motion vision algorithms can be robust and effective, and suggest a number of directions for further development.

关键词： Image motion analysis Ultraviolet sources Machine vision Biomedical optical imaging Optical sensors Motion estimation Cameras Biological systems Navigation Biology computing

来源：评论

学校读者我要写书评

暂无评论

Euclidean reconstruction independent on camera intrinsic parameters

Euclidean reconstruction independent on camera intrinsic par...

引用

IEEE International Workshop on intelligent robots and Systems (IROS)

作者： E. Malis A. Bartoli I.N.R.I.A. Sophia-Antipolis France INRlA Rhone-Alpes France

Standard bundle adjustment techniques for Euclidean reconstruction consider camera intrinsic parameters as unknowns in the optimization process. Obviously, the speed of an optimization process is directly related to the number of unknowns and to the form of the cost function. The scheme proposed in this paper differs from previous standard techniques since unknown camera intrinsic parameters are not considered in the optimization process. Considering fewer unknowns in the optimization process produces a faster algorithm, which is more adapted to time-dependent applications such as robotics. Computationally expensive metric reconstruction, using for example several zooming cameras, considerably benefits from an intrinsics-free bundle adjustment.

关键词： Cameras Image reconstruction Cost function Robot vision systems Computational efficiency Reconstruction algorithms Layout Predictive models computer applications computer vision

来源：评论

学校读者我要写书评

暂无评论

Visual world perception modeling and control of cooperative mobile robots

Visual world perception modeling and control of cooperative ...

引用

conference on intelligent robots and computer vision XXI

作者： Shirkhodaie, A Tennessee State Univ Intelligent Tact Mobil Res Lab Dept Mech & Mfg Engn Nashville TN 37209 USA

ISBN: (纸本)081945155X

There has been a great interest in the recent years in visual coordination and target tracking for mobile robots cooperating in unstructured environments. This paper describes visual servo control techniques suitable for intelligent task planning of cooperative robots operating in unstructured environment. In this paper, we have considered a team of semi-autonomous robots controlled by a remote supervisory control system. We have presented an algorithm for visual position tracking of individual cooperative robots within their working environment. Initially, we present a technique suitable for visual servoing of a robot toward its landmark targets. Secondly, we present an image-processing technique that utilizes images from a remote surveillance camera for localization of the robots within the operational environment. In this algorithm, the surveillance camera can be either stationary or mobile. The supervisor control system keeps tracks of relative locations of individual robots and utilizes relative coordinate information of the robots to plan their cooperative activities. We presented some results of this research effort that illustrates effectiveness of the proposed algorithms for cooperative robotic systems visual team working and target tracking.

关键词： world perception modeling cooperative robots robot pose estimation

来源：评论

学校读者我要写书评

暂无评论

Proceedings of SPIE - Intellingent robots and computer vision XXI: algorithms, techniques, and Active vision

Proceedings of SPIE - Intellingent Robots and Computer Visio...

引用

intelligent robots and computer vision XXI: algorithms, techniques, and Active vision

The proceedings contains 33 papers from the conference on SPIE - intelligent robots and computer vision XXI: algorithms, techniques, and Active vision. The topics discussed include: learning for intelligent mobile robots;remote operation of robotics systems using WLAN- and CORBA-based architecture;autonomous cross-country driving using active vision;Web-based telerobotics system in a virtual reality environment;automatic calibration and neural networks for robot guidance;recursive least squares approach to calculate motion parameters for a moving camera;and effective color representation for image segmentation under nonwhite illumination.

关键词： Robotics

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38页 << < 15 16 17 18 19 20 21 22 23 24 > >>

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：