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

98 篇 会议
1 篇 期刊文献

馆藏范围

99 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

88 篇 理学
- 80 篇 物理学
- 5 篇 数学
- 3 篇 系统科学
- 1 篇 化学
- 1 篇 大气科学
- 1 篇 地质学
77 篇 工学
- 60 篇 计算机科学与技术...
- 35 篇 电气工程
- 25 篇 测绘科学与技术
- 11 篇 信息与通信工程
- 5 篇 电子科学与技术（可...
- 5 篇 软件工程
- 3 篇 光学工程
- 2 篇 仪器科学与技术
- 2 篇 生物医学工程（可授...
- 1 篇 材料科学与工程（可...
- 1 篇 化学工程与技术
20 篇 医学
- 15 篇 临床医学
- 5 篇 特种医学
- 1 篇 基础医学(可授医学...
- 1 篇 药学(可授医学、理...
3 篇 管理学
- 2 篇 图书情报与档案管...
- 1 篇 管理科学与工程(可...
- 1 篇 工商管理
1 篇 经济学
- 1 篇 应用经济学

主题

4 篇 image processing
3 篇 image fusion
3 篇 image matching
3 篇 remote sensing i...
3 篇 image segmentati...
3 篇 infrared image
3 篇 hyperspectral im...
3 篇 pattern recognit...
3 篇 remote sensing
3 篇 image compressio...
3 篇 image classifica...
3 篇 image registrati...
3 篇 convolutional ne...
2 篇 image enhancemen...
2 篇 object detection
2 篇 deep learning
2 篇 color correction
2 篇 gabor filter
2 篇 image retrieval
2 篇 image denoising

机构

6 篇 huazhong univ sc...
4 篇 wuhan inst techn...
3 篇 sci & technol av...
3 篇 huazhong univ sc...
3 篇 china natl aeron...
3 篇 huazhong univ sc...
3 篇 south china univ...
2 篇 huazhong univ sc...
2 篇 hubei presch tea...
2 篇 hubei univ autom...
2 篇 hunan univ human...
2 篇 wuhan univ sch r...
2 篇 huazhong univ sc...
2 篇 wuhan univ sch e...
2 篇 huazhong univ sc...
2 篇 univ maryland de...
2 篇 hust sch math & ...
2 篇 wuhan inst techn...
2 篇 dongfeng commerc...
2 篇 three gorges uni...

作者

6 篇 sang nong
4 篇 gao changxin
3 篇 yao shoukui
3 篇 xiao yang
3 篇 shi yu
3 篇 tian jinwen
3 篇 huang zhenghua
3 篇 he lin
3 篇 cao zhiguo
3 篇 hua xia
3 篇 zhao yi
3 篇 zhou huabing
2 篇 huang likun
2 篇 xie weixin
2 篇 hong hanyu
2 篇 zhang liping
2 篇 xu hongsheng
2 篇 pei jihong
2 篇 liu xiaomao
2 篇 fang zhiwen

语言

99 篇 英文

检索条件"任意字段=10th International Symposium on Multispectral Image Processing and Pattern Recognition, MIPPR 2017"

共 99 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：

Hand Pose Estimation in Depth image using CNN and Random Forest 10

Hand Pose Estimation in Depth Image using CNN and Random For...

引用

10th international symposium on multispectral image processing and pattern recognition (mippr) - pattern recognition and Computer Vision

作者： Chen, Xi Cao, Zhiguo Xiao, Yang Fang, Zhiwen Huazhong Univ Sci & Technol Sch Automat Natl Key Lab Sci & Technol Multispectral Informat Wuhan Hubei Peoples R China Hunan Univ Humanities Sci & Technol Sch Energy & Mech Elect Engn Loudi Peoples R China

ISBN: (纸本)9781510617223;9781510617216

thanks to the availability of low cost depth cameras, like Microsoft Kinect, 3D hand pose estimation attracted special research attention in these years. Due to the large variations in hand's viewpoint and the high dimension of hand motion, 3D hand pose estimation is still challenging. In this paper we propose a two-stage framework which joint with CNN and Random Forest to boost the performance of hand pose estimation. First, we use a standard Convolutional Neural Network (CNN) to regress the hand joints' locations. Second, using a Random Forest to refine the joints from the first stage. In the second stage, we propose a pyramid feature which merges the information flow of the CNN. Specifically, we get the rough joints' location from first stage, then rotate the convolutional feature maps (and image). After this, for each joint, we map its location to each feature map (and image) firstly, then crop features at each feature map (and image) around its location, put extracted features to Random Forest to refine at last. Experimentally, we evaluate our proposed method on ICVL dataset and get the mean error about 1 lmm, our method is also real-time on a desktop.

关键词： Hand pose estimation Convolutional Neural Network Random Forest

来源：评论

学校读者我要写书评

暂无评论

A portable low-cost 3D point cloud acquiring method based on structure light 10

A portable low-cost 3D point cloud acquiring method based on...

引用

10th international symposium on multispectral image processing and pattern recognition (mippr) - pattern recognition and Computer Vision

作者： Gui, Li Zheng, Shunyi Huang, Xia Zhao, Like Ma, Hao Ge, Chao Tang, Qiuxia Wuhan Univ Collaborat Innovat Ctr Geospatial Technol Wuhan 430079 Hubei Peoples R China Wuhan Univ Sch Remote Sensing & Informat Engn Wuhan 430079 Hubei Peoples R China Wuhan Univ Sch Elect Informat Wuhan 430072 Hubei Peoples R China HuBei Urban & Rural Planning Ctr Wuhan 430000 Hubei Peoples R China

ISBN: (纸本)9781510617223;9781510617216

A fast and low-cost method of acquiring 3D point cloud data is proposed in this paper, which can solve the problems of lack of texture information and low efficiency of acquiring point cloud data with only one pair of cheap cameras and projector. Firstly, we put forward a scene adaptive design method of random encoding pattern, that is, a coding pattern is projected onto the target surface in order to form texture information, which is favorable for image matching. Subsequently, we design an efficient dense matching algorithm that fits the projected texture. After the optimization of global algorithm and multi-kernel parallel development with the fusion of hardware and software, a fast acquisition system of point-cloud data is accomplished. through the evaluation of point cloud accuracy, the results show that point cloud acquired by the method proposed in this paper has higher precision. What's more, the scanning speed meets the demand of dynamic occasion and has better practical application value.

关键词： 3D Point Cloud acquisition Structure light Encoding pattern image matching Textureless object reconstruction Kinect Indoor 3D Portable low-cost scanner

来源：评论

学校读者我要写书评

暂无评论

Modeling of biologically-motivated self-learning equivalent convolutional recurrent-multilayer neural structures (BLM-SL-EC-RMNS) for image fragments clustering and recognition 10

Modeling of biologically-motivated self-learning equivalent ...

引用

10th international symposium on multispectral image processing and pattern recognition (mippr) - pattern recognition and Computer Vision

作者： Krasilenko, Vladimir G. Lazarev, Alexander A. Nikitovich, Diana V. Vinnitsa Social Econ Inst 86-131 Kelestskaya Str UA-21021 Vinnitsa Ukraine Vinnytsia Natl Tech Univ Vinnytsia Ukraine

ISBN: (纸本)9781510617223;9781510617216

the biologically-motivated self-learning equivalence-convolutional recurrent-multilayer neural structures (BLMSL_ECRMNS) for fragments images clustering and recognition will be discussed. We shall consider these neural structures and their spatial-invariant equivalental models (SIEMs) based on proposed equivalent two-dimensional functions of image similarity and the corresponding matrix-matrix (or tensor) procedures using as basic operations of continuous logic and nonlinear processing. these SIEMs can simply describe the signals processing during the all training and recognition stages and they are suitable for unipolar-coding multilevel signals. the clustering efficiency in such models and their implementation depends on the discriminant properties of neural elements of hidden layers. therefore, the main models and architecture parameters and characteristics depends on the applied types of non-linear processing and function used for image comparison or for adaptive-equivalent weighing of input patterns. We show that these SL_EC_RMNSs have several advantages, such as the self-study and self-identification of features and signs of the similarity of fragments, ability to clustering and recognize of image fragments with best efficiency and strong mutual correlation. the proposed combined with learning-recognition clustering method of fragments with regard to their structural features is suitable not only for binary, but also color images and combines self-learning and the formation of weight clustered matrix-patterns. Its model is constructed and designed on the basis of recursively continuous logic and nonlinear processing algorithms and to k-average method or method the winner takes all (WTA). the experimental results confirmed that fragments with a large numbers of elements may be clustered. For the first time the possibility of generalization of these models for space invariant case is shown. the experiment for an images of different dimensions (a reference array)

关键词： self-learning equivalence-convolutional recurrent-multilayer neural structures clustering two-dimensional spatial function auto-encoding-decoding nonlinear processing

来源：评论

学校读者我要写书评

暂无评论

OBJECT recognition USING SHAPE GROWth pattern 10

OBJECT RECOGNITION USING SHAPE GROWTH PATTERN

引用

Proceedings of the 10th international symposium on image and Signal processing and Analysis

作者： Cheddad, Abbas Kusetogullari, Huseyin Grahn, Hakan Blekinge Inst Technol Dept Comp Sci & Engn SE-37141 Karlskrona Sweden

ISBN: (纸本)9781509040117

this paper proposes a preprocessing stage to augment the bank of features that one can retrieve from binary images to help increase the accuracy of pattern recognition algorithms. To this end, by applying successive dilations to a given shape, we can capture a new dimension of its vital characteristics which we term hereafter: the shape growth pattern (SGP). this work investigates the feasibility of such a notion and also builds upon our prior work on structure preserving dilation using Delaunay triangulation. Experiments on two public data sets are conducted, including comparisons to existing algorithms. We deployed two renowned machine learning methods into the classification process (i.e., convolutional neural network -CNN- and random forests -RF-) since they perform well in pattern recognition tasks. the results show a clear improvement of the proposed approach's classification accuracy (especially for data sets with limited training samples) as well as robustness against noise when compared to existing methods.

关键词： Binary image dilations shape growth pattern pattern recognition convolutional neural network machine learning

来源：评论

学校读者我要写书评

暂无评论

Proceedings of SPIE - the international Society for Optical Engineering

Proceedings of SPIE - The International Society for Optical ...

引用

10th international symposium on multispectral image processing and pattern recognition, mippr 2017

ISBN: (纸本)9781510617216

the proceedings contain 59 papers. the topics discussed include: static facial expression recognition with convolution neural networks;affine invariant feature extraction based on the shape of local support region;hog pedestrian detection based on edge symmetry and trilinear interpolation;a multi-view face recognition system based on cascade face detector and improved Dlib;the method for froth floatation condition recognition based on adaptive feature weighted;robust image matching via orb feature and VFC for mismatch removal;dual-threshold segmentation using Arimoto entropy based on chaotic bee colony optimization;a novel approach for fire recognition using hybrid features and manifold learning-based classifier;research on three-dimensional reconstruction method based on binocular vision;scene text detection by leveraging multi-channel information and local context;single image super-resolution based on convolutional neural networks;supervised guiding long-short term memory for image caption generation based on object classes;a method of non-contact reading code based on computer vision;automated railroad reconstruction from remote sensing image based on texture filter;environmentally adaptive crop extraction for agricultural automation using super-pixel and LAB Gaussian model;improved dense trajectories for action recognition based on random projection and fisher vectors;and collaborative identification method for sea battlefield target based on deep convolutional neural networks.

关键词：

来源：评论

学校读者我要写书评

暂无评论

international symposium on image and Signal processing and Analysis, ISPA

International Symposium on Image and Signal Processing and A...

引用

10th international symposium on image and Signal processing and Analysis, ISPA 2017

ISBN: (纸本)9781509040117

the proceedings contain 42 papers. the topics discussed include: far-field infrared system for the high-accuracy in-situ measurement of ocular pupil diameter;decision support system for the diagnosis of neurological disorders based on gaze tracking;using hierarchical histogram representation for the EM clustering algorithm enhancement;object recognition using shape growth pattern;a smartphone-based fall detection system for the elderly;and analytic spectrum as a tool for time�frequency signal analysis.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Improved Crow Search Algorithm with Inertia Weight Factor and Roulette Wheel Selection Scheme 10

Improved Crow Search Algorithm with Inertia Weight Factor an...

引用

10th international symposium on Computational Intelligence and Design (ISCID)

作者： Shi, Zhaojun Li, Qishen Zhang, Sheng Huang, Xiaojuan Nanchang Hangkong Univ Key Lab Jiangxi Prov Image Proc & Pattern Recogni Nanchang 330063 Jiangxi Peoples R China East China Univ Technol Sch Informat Engineer Nanchang 330013 Jiangxi Peoples R China

ISBN: (纸本)9781538636756

Crow search algorithm (CSA) simulate the intelligent behavior of crows to solve multi-dimensional, linear and nonlinear problems with appreciable. Despite high performance of CSA, stagnation in local optima and slow convergence speed are two probable problems in solving challenging optimization problems. In this paper, the standard CSA is improved to enhance its exploration and exploitation capacities and convergence speed by introducing adaptive inertia weight factor and roulette wheel selection scheme. Performance of the improved CSA (ICSA) is assessed by implementing it on a range of standard unconstrained benchmark functions having different characteristics. the results of optimization obtained using the ICSA algorithm are validated by comparing them with those obtained using the basic CSA and other optimization algorithms available in the literature.

关键词： crow search agorithm(CSA) optimization inertia weight factor roulette wheel selection

来源：评论

学校读者我要写书评

暂无评论

Electronic Nose Technology Based on Quantum Dot Filters

Electronic Nose Technology Based on Quantum Dot Filters

引用

the 10th international symposium on Photonics and Optoelectronics (SOPO 2017)

作者： Zhenan Li Jie Bao Department of Electronic Engineering Tsinghua University

the electronic nose with chemical dyes as sensor can react with target gas and have specific color *** general,RGB camera collects a group of images to record these changes used for pattern *** filters are not sensitive to the slight color changes,which limits the performance of this kind of electronic *** paper demonstrates using quantum dot spectroscopy technology to solve this *** quantum dot filters are placed on the surface of image *** capturing images,there are more response channels of the same incident light than RGB *** and experiment both prove that quantum dot filters with appropriate processing are more sensitive to color changes than RGB filters.

关键词： Quantum Dots Spectrum RGB Filters pattern recognition

来源：评论

学校读者我要写书评

暂无评论

Specifics of processing SRS lidar signals in GHz frequency range 9

Specifics of processing SRS lidar signals in GHz frequency r...

引用

9th international symposium on multispectral image processing and pattern recognition (mippr) - multispectral image Acquisition, processing, and Analysis

作者： Grishkanich, A. S. Elizarov, V. V. Kascheev, S., V Zhevlakov, A. P. Sidorov, I. S. Natl Res Univ Informat Technol Mech & Opt St Petersburg Russia Univ Eastern Finland Kuopio Finland

ISBN: (纸本)9781510600522

One of the highly effective methods of operative remote environmental monitoring on land and water surfaces is laser sensing. It knew that the Raman scattering cross section is very small (10(-25)-10(-27)), so in some cases radiation back into captivity to the target could be a few tens of photons. For high- speed sensing, speed of processing and ease of use lidar units required for the use of appropriate hardware and software systems used for the decision of tasks of collecting, processing, storing, organizing large amounts of data.

关键词： SRS lidar GHz frequency range

来源：评论

学校读者我要写书评

暂无评论

Spindle extraction method for ISAR image based on Radon transform 9

Spindle extraction method for ISAR image based on Radon tran...

引用

9th international symposium on multispectral image processing and pattern recognition (mippr) - Automatic Target recognition and Navigation

作者： Wei, Xia Zheng, Sheng Zeng, Xiangyun Zhu, Daoyuan Xu, Gaogui China Three Gorges Univ Coll Sci Yichang 443002 Peoples R China Zhoukou Vocat & Tech Coll Informat Engn Dept Zhoukou 466000 Peoples R China China Three Gorges Univ Coll Comp & Informat Technol Yichang 443002 Peoples R China

ISBN: (纸本)9781510600539

In this paper, a method of spindle extraction of target in inverse synthetic aperture radar (ISAR) image is proposed which depends on Radon Transform. Firstly, utilizing Radon Transform to detect all straight lines which are collinear with these line segments in image. then, using Sobel operator to detect image contour. Finally, finding all intersections of each straight line and image contour, the two intersections which have maximum distance between them is the two ends of this line segment and the longest line segment of all line segments is spindle of target. According to the proposed spindle extraction method, one hundred simulated ISAR images which are respectively rotated 0 degrees, 10 degrees, 20 degrees, 30 degrees and 40 degrees in counterclockwise are used to do experiment and the proposed method and the detection results are more close to the real spindle of target than the method based on Hough Transform.

关键词： inverse synthetic aperture radar image Radon Transform straight line detection contour detection spindle extraction

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10页 << < 1 2 3 4 5 6 7 8 9 10 > >>

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：