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

113 篇 会议
3 篇 期刊文献
2 册 图书

馆藏范围

118 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

104 篇 理学
- 95 篇 物理学
- 34 篇 数学
- 11 篇 生物学
- 5 篇 统计学（可授理学、...
- 1 篇 化学
71 篇 工学
- 51 篇 计算机科学与技术...
- 50 篇 光学工程
- 49 篇 软件工程
- 22 篇 控制科学与工程
- 12 篇 生物医学工程（可授...
- 11 篇 电气工程
- 11 篇 生物工程
- 10 篇 仪器科学与技术
- 6 篇 机械工程
- 2 篇 交通运输工程
- 2 篇 兵器科学与技术
- 1 篇 电子科学与技术（可...
- 1 篇 信息与通信工程
6 篇 医学
- 6 篇 基础医学(可授医学...
- 1 篇 临床医学
- 1 篇 医学技术（可授医学...
3 篇 管理学
- 3 篇 图书情报与档案管...

主题

35 篇 machine vision
33 篇 computer vision ...
30 篇 robot vision
25 篇 computer vision
23 篇 robots
16 篇 image processing
14 篇 image segmentati...
14 篇 neural networks
12 篇 cameras
12 篇 vision
10 篇 3d image process...
9 篇 visual process m...
8 篇 computing system...
8 篇 sensors
7 篇 3d modeling
5 篇 neurons
5 篇 imaging systems
5 篇 error analysis
4 篇 image filtering
4 篇 visualization

机构

3 篇 texas tech univ.
3 篇 univ. of oulu
2 篇 univ. of saskatc...
2 篇 technical resear...
2 篇 univ. laval
2 篇 florida atlantic...
2 篇 univ of maryland...
2 篇 univ of saskatch...
2 篇 sri int. menlo p...
2 篇 carnegie mellon ...
1 篇 ruhr univ. bochu...
1 篇 univ. of saskatc...
1 篇 the pennsylvania...
1 篇 univ bourgogne f...
1 篇 university of sa...
1 篇 memorial univ. o...
1 篇 laval univ laval
1 篇 tech univ munich...
1 篇 paris xi univ.
1 篇 univ. of iowa

作者

4 篇 ligomenides pano...
3 篇 casasent d
3 篇 gupta mm
2 篇 poussart denis
2 篇 natarajan s
2 篇 marshall jonatha...
2 篇 wang dz
2 篇 gupta madan m.
2 篇 shieh jy
2 篇 zhuang hq
2 篇 sudhakar r
2 篇 modayur bharath
2 篇 parkkinen j
2 篇 jarviluoma m
2 篇 jaaskelainen t
2 篇 hallikainen j
2 篇 mitra s
2 篇 raviv d
1 篇 jordan iii john ...
1 篇 ulutas m

语言

115 篇 英文
3 篇 中文

检索条件"任意字段=Intelligent Robots and Computer Vision X: Neural, Biological, and 3-D Methods 1991"

共 118 条记录，以下是81-90 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：

Finding cones from multi-scan range maps 10

Finding cones from multi-scan range maps

引用

intelligent robots and computer vision x: neural, biological, and 3-d methods 1991

作者： Lejun, Shao Volz, Richard School of Electrical and Electronic Engineering Nanyang Technological University Singapore2263 Singapore Computer Science Department Texas A and M University College StationTX77843 United States

Two algorithms are presented to locate a cone with a known shape from a range scan map. They are ellipse fitting and three-scan methods. The localization problem includes the finding of both cone's orientation and displacement relative to the sensing coordinate system. The work described in this paper is an extension to the problem of extracting the cylinder parameters from a depth scan map. The range data are obtained from either a light-stripe based range sensor or a line range sensor, which measures the distance between the sensor and the nearest points on the intersection of the light plane and the scene. The three-scan method uses range data from three scan lines of measurements. It does not use any ellipse fitting. This method first extracts the orientation parameters of at least three cone's generators and then derive the axis direction vector from the cone's generators. The performance of this method is compared with the usual ellipse fitting method. © 1992 SPIE. All rights reserved.

关键词： Geometry

来源：评论

学校读者我要写书评

暂无评论

FUSION BASEd dEPTH ESTIMATION FROM A SEQUENCE OF MONOCULAR IMAGES 10

FUSION BASED DEPTH ESTIMATION FROM A SEQUENCE OF MONOCULAR I...

引用

CONF ON intelligent robots ANd computer vision 10 : neural, biological, ANd 3-d methods

作者： SHIEH, JY ZHUANG, HQ SUdHAKAR, R Florida Atlantic Univ. (United States)

ISBN: (纸本)0819407453

This paper reports the development of a general depth estimation system directly using image sequence. We combine the direct depth estimation method with the optical flow based method. More specifically, the optical flow on or near moving edges are computed using a correlation technique. The optical flow information is then fused with gradient information to estimate depth not only on moving edges but also in internal regions. The depth estimation problem is formulated as a discrete Kalman filter problem and is solved in three stages. In the prediction stage, the depth map estimated for the current frame, together with knowledge of the camera motion, are used to predict the depth variance at each pixel in the next frame. In the estimation stage, a vector-version of Kalman filter formulation is adopted and then simplified under the assumption of a diagonized error covariance. The resulting estimation algorithm takes into account of the information from the neighboring pixels and therefore is much more robust than the scalar-version Kalman filter implementation. In the smoothing stage, morphological filtering is applied to the estimated depth map to reduce the measurement noise and fill in the untrustable areas based on the error covariance information. Simulation results illustrate the effectiveness of the presented method.

关键词： Optical flow Filtering (signal processing) Robot vision Motion estimation Cameras Machine vision computer vision technology Error analysis Signal to noise ratio Image filtering

来源：评论

学校读者我要写书评

暂无评论

A SINGLE INSTRUCTION computer ARCHITECTURE ANd ITS APPLICATION IN IMAGE-PROCESSING 10

A SINGLE INSTRUCTION COMPUTER ARCHITECTURE AND ITS APPLICATI...

引用

CONF ON intelligent robots ANd computer vision 10 : neural, biological, ANd 3-d methods

作者： LAPLANTE, PA Fairleigh Dickinson University Madison Ave. Madison 07940 NJ United States

ISBN: (纸本)0819407453

A single processing computer system using only half-adder circuits is described. In addition, it is shown that only a single hard-wired instruction is needed in the control unit to obtain a complete3 instruction set for this general purpose computer. Such a system has several advantages. First it is intrinsically a RISC machine - in fact the "ultimate RISC" machine. Second, because only a single type of logic element is employed the entire computer system can be easily realized on a single, highly integrated chip. Finally, due to the homogeneous nature of the computer's logic elements, the computer has possible implementations as an optical or chemical machine. This in turn suggests possible paradigms for neural computing and artificial intelligence. After showing how we can implement a full-adder, min, max and other operations using the half-adder, we use an array of such full-adders to implement the dilation operation for two black and white images. Next we implement the erosion operation of two black and white images using a relative complement function and the properties of erosion and dilation. This approach was inspired by papers by van der Poel⁸ in which a single instruction is used to furnish a complete set of general purpose instructions and by Bohm-Jacopini where it is shown that any problem can be solved using a Turing machine with one entry and one exit¹ © 1992 SPIE. All rights reserved.

关键词： Optical data processing

来源：评论

学校读者我要写书评

暂无评论

PARALLEL RANGE dATA-PROCESSING - A REAL CASE-STUdY 10

PARALLEL RANGE DATA-PROCESSING - A REAL CASE-STUDY

引用

CONF ON intelligent robots ANd computer vision 10 : neural, biological, ANd 3-d methods

作者： SLUdER, JC ABIdI, MA Univ. of Tennessee/Knoxville (United States)

ISBN: (纸本)0819407453

In this paper, we begin by describing a range image processing method developed to allow an autonomous robot to detect and locate objects. The procedure consists of taking a range image, filtering and preprocessing the image, calculating surface normals, obtaining edge maps from both range and surface normals, combining the edge maps into an initial scene segmentation map, and analyzing each object in the scene in order to detect and locate the desired objects. While this method is reasonably fast and robust, its surface characterization is fairly crude. More elaborate surface characterization on a serial computer would be considerably slower, which is not desirable for autonomous robot operations. We then discuss the development of parallel techniques for surface characterization using range data. By using parallel processing, the complexity and accuracy of the characterization can be increased without an unacceptable cost in processing time. The method explored is a parallel implementation of a least squares QR surface fitting technique using Givens transformations. We conclude by summarizing the work done and briefly listing some future extensions of the current research.

关键词： Image filtering Robot vision digital filtering Laser scanners Image segmentation Image processing computer vision technology Laser range finders Machine vision Optical filters

来源：评论

学校读者我要写书评

暂无评论

IMPROVING THE ROBUSTNESS OF EdGE ANd REGION-BASEd RANGE IMAGE SEGMENTATION 10

IMPROVING THE ROBUSTNESS OF EDGE AND REGION-BASED RANGE IMAG...

引用

CONF ON intelligent robots ANd computer vision 10 : neural, biological, ANd 3-d methods

作者： KOIVUNEN, V PIETIKAINEN, M Univ. of Oulu (Finland)

ISBN: (纸本)0819407453

In our previous work, we presented a segmentation method that combines useful properties of edge and region-based segmentation. In the region-based approach, pixels are classified into 10 surface types according to the spatial properties in the neighborhood of each pixel. Surface differential properties are approximated using least squares estimation. Geometrically coherent regions are formed by grouping connected pixels of the same surface type. A two stage method which detects both step and roof edges is used for edge detection. Preliminary edge and region-based segmentation results are overlaid to achieve the final segmentation. This paper presents our recent results which improve the robustness of the segmentation method. Accurate estimation of the differential properties of the surfaces is essential if one is to gain good segmentation. The least squares estimation with constant coefficient window operators gives good results when only white Gaussian distributed noise occurs, and pixels in the neighborhood are from one statistical population. In order to decrease the influence of very deviant pixel values that occur near region boundaries or due to noise, we implemented two robust estimation methods. One is iterative reweighting least squares method that uses a variable order model and the other is a least trimmed square method. The robust and least squares approaches are compared and their effects on surface classification are reported. Also the validity of the assumptions on the data, model and estimation methods used are considered. Both synthetic and real range images are used for test images.

关键词： Image segmentation data modeling Statistical analysis computer vision technology Image quality Machine vision robots Signal attenuation Error analysis Robot vision

来源：评论

学校读者我要写书评

暂无评论

SYSTEM TO FINd EdGE CORRESPONdENCES IN UNSTRUCTUREd STEREO IMAGES

SYSTEM TO FIND EDGE CORRESPONDENCES IN UNSTRUCTURED STEREO I...

引用

11TH CONF ON intelligent robots ANd computer vision : biological, neural NET, ANd 3-d methods

作者： GHERBI, R PAROdI, A Paris XI Univ. (France) Infodyne SARL (France)

ISBN: (纸本)0819410276

We present a new edge-based matching algorithm that can be applied for unstructured stereo images. We first review briefly a major recent development in establishing stereo correspondences and show that a great deal of research in stereo is needed in order to apply stereo techniques to solve more real-world problems. We then discuss why we use edges (without simplification and without linking) as primitives to be matched rather than other primitives (points, regions, ...) and what adequate edge detector should be used. We then argue that matching a whole parts of edges should be done rather than comparison of straight line segments. We then discuss the occlusion problem and some defects of the edge detector that possibly cut the edges to several pieces, and argue that partial matching of edges can be a solution to such problems. We then explain what best matching criteria are used, comprising both shape and gray level attributes. These criteria are chosen for their pertinence, representation and computation simplicity and for their similarity to those probably used in human vision system. Finally, complete quantitative experimental results are shown with various indoor and outdoor real world scenes.

关键词： Sensors Computing systems Human vision and color perception Image segmentation

来源：评论

学校读者我要写书评

暂无评论

vision MOdELS FOR 3d SURFACES

VISION MODELS FOR 3D SURFACES

引用

11TH CONF ON intelligent robots ANd computer vision : biological, neural NET, ANd 3-d methods

作者： MITRA, S Texas Tech Univ. (United States)

ISBN: (纸本)0819410276

different approaches to computational stereo to represent human stereo vision have been developed over the past two decades. The Marr-Poggio theory of human stereo vision is probably the most widely accepted model of the human stereo vision. However, recently developed motion stereo models which use a sequence of images taken by either a moving camera or a moving object provide an alternative method of achieving multi-resolution matching without the use of Laplacian of Gaussian operators. While using image sequences, the baseline between two camera positions for a image pair is changed for the subsequent image pair so as to achieve different resolution for each image pair. Having different baselines also avoids the inherent occlusion problem in stereo vision models. The advantage of using multi-resolution images acquired by camera positioned at different baselines over those acquired by LOG operators is that one does not have to encounter spurious edges often created by zero-crossings in the LOG operated images. Therefore in designing a computer vision system, a motion stereo model is more appropriate than a stereo vision model. However, in some applications where only a stereo pair of images are available, recovery of 3d surfaces of natural scenes are possible in a computationally efficient manner by using cepstrum matching and regularization techniques. Section 2 of this paper describes a motion stereo model using multi-scale cepstrum matching for the detection of disparity between image pairs in a sequence of images and subsequent recovery of 3d surfaces from depth-map obtained by a non convergent triangulation technique. Section 3 presents a 3d surface recovery technique from a stereo pair using cepstrum matching for disparity detection and cubic B-splines for surface smoothing. Section 4 contains the results of 3d surface recovery using both of the techniques mentioned above. Section 5 discusses the merit of 2d cepstrum matching and cubic B-spline interpolation

关键词： 3d modeling Motion models Visual process modeling 3d vision Stereo vision systems Cameras Human vision and color perception 3d image processing Computing systems Machine vision

来源：评论

学校读者我要写书评

暂无评论

A three-dimensional object representation based on the laigest convex patches method 10

A three-dimensional object representation based on the laige...

引用

intelligent robots and computer vision x: neural, biological, and 3-d methods 1991

作者： Zlateva, Stoyanka Vaina, Lucia M. Intelligent Systems Laboratory Boston Univeristy ERB-336 44 Cummington str. BostonMA02215 United States College of Engineering Metropolitan Collge Boston Univeristy ERB-336 44 Cummington str. BostonMA02215 United States

We introduce a representation of three dimensional (3d) shape of objects which describes object shape through configurations of interrelated parts and accounts for their surface and volumetric properties as well. The decomposition into constituent parts is obtained by an earlier developed surfaced based method that uses the largest locally convex patches (LCP) and the largest everywhere nonconvex patches to characterize and define part boundaries. This characteristization of the part boundary provides the basis for assigning to each part a simple volumetric primitive that preserves its surface type. We propose a heuristics for choosing the volumetric description motivated by a teorem from differential geometry which classifies surface points (elliptic, hyperbolic, parabollic, plane) through the type of the parabolloid that approximates a finite *** provides a natural way of relating surface properties of the boundary based decomposition to volumetric properties of the primitive based part description. A further decomposition into subparts and the computation of associated features on a "if needed" basis allow to account for structural details which appear to be closely related to the use of the object in actions. We present examples of the shape descriptions of various machine tools and show that the parts and subparts computed by the representation directly relate to affordances of the object. © 1992 SPIE. All rights reserved.

关键词： Machine tools

来源：评论

学校读者我要写书评

暂无评论

intelligent robots and computer vision Ix: neural, biological, and 3-d methods

Intelligent Robots and Computer Vision IX: Neural, Biologica...

引用

intelligent robots and computer vision Ix: neural, biological, and 3-d methods

This Conference Proceedings contains 41 papers grouped in four sessions dealing with: neuronal-morphology of biological vision as a basis for machine vision;neural networks for intelligent systems;reconstruction, description and modeling of 3-d images;three-dimensional scene perception. Some of the topics discussed are the following: neural model for feature matching in stereo vision;new perspectives for vision enhancement for the visually impaired;receptive fields and the theory of discriminant operators;determining range information from self-motion;on-line visual prosthetics for a decision maker;Ho-Kashyap associative processors;motion analysis for visually guided navigation;connectionist learning system for control;space-time system architecture for the neural optical computing;statistical and neural network classifiers in model-based 3-d object recognition;iterative neural networks for skeletonization and thinning;neural edge detectors;reconstruction during camera fixation;three-dimensional reconstruction from optical flow using temporal integration;three-dimensional description of symmetric objects from range images;topographic mapping for stereo and motion processors;evaluation of a pose estimation algorithm using single perspective view;range data from stereo images of edge points.

关键词： computer vision

来源：评论

学校读者我要写书评

暂无评论

RECEPTIVE-FIELdS ANd THE THEORY OF dISCRIMINANT OPERATORS

RECEPTIVE-FIELDS AND THE THEORY OF DISCRIMINANT OPERATORS

引用

9TH CONF ON intelligent robots ANd computer vision : neural, biological, ANd THREE-dIMENSIONAL methods

作者： GUPTA, MM HUNGENAHALLY, SK Univ of Saskatchewan Saskatoon Canada

ISBN: (纸本)0819404497

biological basis for machine vision is a notion which is being used extensively for the development of machine vision systems for various applications. In this paper we have made an attempt to emulate the receptive fields that exist in the biological visual channels. In particular, we have exploited the notion of receptive fields for developing the mathematical functions named as discriminant functions, for the extraction of transition information from signals and multi-dimensional signals and images. These functions are found to be useful for the development of artificial receptive fields for neuro-vision systems.

关键词： computer 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12页 << < 3 4 5 6 7 8 9 10 11 12 > >>

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：