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

654 篇 会议
2 册 图书

馆藏范围

656 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

648 篇 工学
- 406 篇 机械工程
- 298 篇 计算机科学与技术...
- 17 篇 电气工程
- 14 篇 软件工程
- 11 篇 光学工程
- 4 篇 信息与通信工程
- 2 篇 控制科学与工程
- 2 篇 生物医学工程（可授...
- 2 篇 生物工程
- 1 篇 仪器科学与技术
- 1 篇 电子科学与技术（可...
- 1 篇 土木工程
- 1 篇 化学工程与技术
14 篇 理学
- 11 篇 物理学
- 5 篇 数学
- 3 篇 生物学
- 2 篇 系统科学
- 2 篇 统计学（可授理学、...
- 1 篇 化学
5 篇 管理学
- 3 篇 图书情报与档案管...
- 2 篇 管理科学与工程(可...
- 1 篇 工商管理
1 篇 法学
- 1 篇 社会学
1 篇 教育学
- 1 篇 教育学
1 篇 医学
- 1 篇 基础医学(可授医学...
- 1 篇 临床医学
- 1 篇 药学(可授医学、理...

主题

251 篇 computer vision
94 篇 image segmentati...
90 篇 cameras
86 篇 layout
84 篇 feature extracti...
83 篇 face recognition
82 篇 object recogniti...
76 篇 object detection
74 篇 image recognitio...
71 篇 humans
70 篇 shape
68 篇 robustness
66 篇 computer science
63 篇 image reconstruc...
54 篇 image classifica...
54 篇 learning (artifi...
49 篇 application soft...
49 篇 image motion ana...
41 篇 image representa...
40 篇 testing

机构

8 篇 microsoft resear...
6 篇 microsoft res as...
4 篇 robotics institu...
4 篇 carnegie mellon ...
4 篇 department of co...
4 篇 univ illinois ur...
4 篇 microsoft res re...
4 篇 department of co...
4 篇 mit cambridge ma...
4 篇 carnegie mellon ...
4 篇 cornell univ ith...
4 篇 department of co...
4 篇 stanford univ st...
4 篇 carnegie mellon ...
3 篇 penn state univ ...
3 篇 nanyang technol ...
3 篇 univ michigan an...
3 篇 univ adelaide sc...
3 篇 school of comput...
3 篇 georgia institut...

作者

6 篇 mubarak shah
6 篇 tsuhan chen
5 篇 shiguang shan
5 篇 daniel cremers
5 篇 xilin chen
5 篇 nikos paragios
5 篇 wen gao
5 篇 yanxi liu
4 篇 nassir navab
4 篇 zhang lei
4 篇 jan-michael frah...
4 篇 li stan z.
4 篇 thomas huang
4 篇 vincent lepetit
4 篇 tieniu tan
4 篇 svetha venkatesh
4 篇 narendra ahuja
4 篇 alan yuille
4 篇 de la torre fern...
4 篇 liang wang

语言

653 篇 英文
2 篇 土耳其文
1 篇 其他

检索条件"任意字段=26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2013"

共 656 条记录，以下是31-40 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：

Online Object Tracking: A Benchmark

Online Object Tracking: A Benchmark

引用

26th ieee conference on computer vision and pattern recognition (cvpr)

作者： Wu, Yi Lim, Jongwoo Yang, Ming-Hsuan Univ Calif Merced Merced CA 95343 USA Hanyang Univ Seoul South Korea

ISBN: (纸本)9780769549897

Object tracking is one of the most important components in numerous applications of computer vision. While much progress has been made in recent years with efforts on sharing code and datasets, it is of great importance to develop a library and benchmark to gauge the state of the art. After briefly reviewing recent advances of online object tracking, we carry out large scale experiments with various evaluation criteria to understand how these algorithms perform. the test image sequences are annotated with different attributes for performance evaluation and analysis. By analyzing quantitative results, we identify effective approaches for robust tracking and provide potential future research directions in this field.

关键词： computer vision image sequences object tracking performance evaluation

来源：评论

学校读者我要写书评

暂无评论

Learning Collections of Part Models for Object recognition

Learning Collections of Part Models for Object Recognition

引用

26th ieee conference on computer vision and pattern recognition (cvpr)

作者： Endres, Ian Shih, Kevin J. Jiaa, Johnston Hoiem, Derek Univ Illinois Urbana IL 61801 USA

ISBN: (纸本)9780769549897

We propose a method to learn a diverse collection of discriminative parts from object bounding box annotations. Part detectors can be trained and applied individually, which simplifies learning and extension to new features or categories. We apply the parts to object category detection, pooling part detections within bottom-up proposed regions and using a boosted classifier with proposed sigmoid weak learners for scoring. On PASCAL VOC 2010, we evaluate the part detectors' ability to discriminate and localize annotated keypoints. Our detection system is competitive with the best-existing systems, outperforming other HOG-based detectors on the more deformable categories.

关键词： learning (artificial intelligence) object detection object recognition

来源：评论

学校读者我要写书评

暂无评论

Improving the Visual Comprehension of Point Sets

Improving the Visual Comprehension of Point Sets

引用

26th ieee conference on computer vision and pattern recognition (cvpr)

作者： Katz, Sagi Tal, Ayellet Technion Israel Inst Technol IL-32000 Haifa Israel

ISBN: (纸本)9780769549897

Point sets are the standard output of many 3D scanning systems and depth cameras. Presenting the set of points as is, might "hide" the prominent features of the object from which the points are sampled. Our goal is to reduce the number of points in a point set, for improving the visual comprehension from a given viewpoint. this is done by controlling the density of the reduced point set, so as to create bright regions (low density) and dark regions (high density), producing an effect of shading. this data reduction is achieved by leveraging a limitation of a solution to the classical problem of determining visibility from a viewpoint. In addition, we introduce a new dual problem, for determining visibility of a point from infinity, and show how a limitation of its solution can be leveraged in a similar way.

关键词： computer graphics data reduction

来源：评论

学校读者我要写书评

暂无评论

Optimized Pedestrian Detection for Multiple and Occluded People

Optimized Pedestrian Detection for Multiple and Occluded Peo...

引用

26th ieee conference on computer vision and pattern recognition (cvpr)

作者： Rujikietgumjorn, Sitapa Collins, Robert T. Penn State Univ University Pk PA 16802 USA

ISBN: (纸本)9780769549897

We present a quadratic unconstrained binary optimization (QUBO) framework for reasoning about multiple object detections with spatial overlaps. the method maximizes an objective function composed of unary detection confidence scores and pairwise overlap constraints to determine which overlapping detections should be suppressed, and which should be kept. the framework is flexible enough to handle the problem of detecting objects as a shape covering of a foreground mask, and to handle the problem of filtering confidence weighted detections produced by a traditional sliding window object detector. In our experiments, we show that our method outperforms two existing state-of-the-art pedestrian detectors.

关键词： filtering theory object detection optimisation pedestrians shape recognition

来源：评论

学校读者我要写书评

暂无评论

Discriminative Subspace Clustering

Discriminative Subspace Clustering

引用

26th ieee conference on computer vision and pattern recognition (cvpr)

作者： Zografos, Vasileios Ellis, Liam Mester, Rudolf Linkoping Univ Dept Elect Engn CVL S-58183 Linkoping Sweden

ISBN: (纸本)9780769549897

We present a novel method for clustering data drawn from a union of arbitrary dimensional subspaces, called Discriminative Subspace Clustering (DiSC). DiSC solves the subspace clustering problem by using a quadratic classifier trained from unlabeled data (clustering by classification). We generate labels by exploiting the locality of points from the same subspace and a basic affinity criterion. A number of classifiers are then diversely trained from different partitions of the data, and their results are combined together in an ensemble, in order to obtain the final clustering result. We have tested our method with 4 challenging datasets and compared against 8 state-of-the-art methods from literature. Our results show that DiSC is a very strong performer in both accuracy and robustness, and also of low computational complexity.

关键词： computational complexity pattern classification pattern clustering

来源：评论

学校读者我要写书评

暂无评论

Joint Detection, Tracking and Mapping by Semantic Bundle Adjustment

Joint Detection, Tracking and Mapping by Semantic Bundle Adj...

引用

26th ieee conference on computer vision and pattern recognition (cvpr)

作者： Fioraio, Nicola Di Stefano, Luigi Univ Bologna Dept Comp Sci & Engn CVLab I-40135 Bologna Italy

ISBN: (纸本)9780769549897

In this paper we propose a novel Semantic Bundle Adjustment framework whereby known rigid stationary objects are detected while tracking the camera and mapping the environment. the system builds on established tracking and mapping techniques to exploit incremental 3D reconstruction in order to validate hypotheses on the presence and pose of sought objects. then, detected objects are explicitly taken into account for a global semantic optimization of both camera and object poses. thus, unlike all systems proposed so far, our approach allows for solving jointly the detection and SLAM problems, so as to achieve object detection together with improved SLAM accuracy.

关键词： SLAM (robots) computer graphics image reconstruction object detection

来源：评论

学校读者我要写书评

暂无评论

Revisiting Depth Layers from Occlusions

Revisiting Depth Layers from Occlusions

引用

26th ieee conference on computer vision and pattern recognition (cvpr)

作者： Kowdle, Adarsh Gallagher, Andrew Chen, Tsuhan Cornell Univ Ithaca NY 14853 USA

ISBN: (纸本)9780769549897

In this work, we consider images of a scene with a moving object captured by a static camera. As the object (human or otherwise) moves about the scene, it reveals pairwise depth-ordering or occlusion cues. the goal of this work is to use these sparse occlusion cues along with monocular depth occlusion cues to densely segment the scene into depth layers. We cast the problem of depth-layer segmentation as a discrete labeling problem on a spatio-temporal Markov Random Field (MRF) that uses the motion occlusion cues along with monocular cues and a smooth motion prior for the moving object. We quantitatively show that depth ordering produced by the proposed combination of the depth cues from object motion and monocular occlusion cues are superior to using either feature independently, and using a naive combination of the features.

关键词： Markov processes computer graphics image motion analysis image segmentation image sensors

来源：评论

学校读者我要写书评

暂无评论

Graph-Laplacian PCA: Closed-form Solution and Robustness

Graph-Laplacian PCA: Closed-form Solution and Robustness

引用

26th ieee conference on computer vision and pattern recognition (cvpr)

作者： Jiang, Bo Ding, Chris Luo, Bin Tang, Jin Anhui Univ Sch Comp Sci & Technol Hefei 230601 Peoples R China

ISBN: (纸本)9780769549897

Principal Component Analysis (PCA) is a widely used to learn a low-dimensional representation. In many applications, both vector data X and graph data W are available. Laplacian embedding is widely used for embedding graph data. We propose a graph-Laplacian PCA (gLPCA) to learn a low dimensional representation of X that incorporates graph structures encoded in W. this model has several advantages: (1) It is a data representation model. (2) It has a compact closed-form solution and can be efficiently computed. (3) It is capable to remove corruptions. Extensive experiments on 8 datasets show promising results on image reconstruction and significant improvement on clustering and classification.

关键词： data structures graph theory image classification image reconstruction pattern clustering principal component analysis

来源：评论

学校读者我要写书评

暂无评论

Detecting and Naming Actors in Movies using Generative Appearance Models

Detecting and Naming Actors in Movies using Generative Appea...

引用

26th ieee conference on computer vision and pattern recognition (cvpr)

作者： Gandhi, Vineet Ronfard, Remi INRIA LJK Grenoble France

ISBN: (纸本)9780769549897

We introduce a generative model for learning person and costume specific detectors from labeled examples. We demonstrate the model on the task of localizing and naming actors in long video sequences. More specifically, the actor's head and shoulders are each represented as a constellation of optional color regions. Detection can proceed despite changes in view-point and partial occlusions. We explain how to learn the models from a small number of labeled keyframes or video tracks, and how to detect novel appearances of the actors in a maximum likelihood framework. We present results on a challenging movie example, with 81% recall in actor detection (coverage) and 89% precision in actor identification (naming).

关键词： computer graphics image colour analysis image sequences maximum likelihood detection

来源：评论

学校读者我要写书评

暂无评论

three-dimensional bilateral symmetry plane estimation in the phase domain

Three-dimensional bilateral symmetry plane estimation in the...

引用

26th ieee conference on computer vision and pattern recognition (cvpr)

作者： Kakarala, Ramakrishna Kaliamoorthi, Prabhu Premachandran, Vittal Nanyang Technol Univ Sch Comp Engn Singapore 639798 Singapore

ISBN: (纸本)9780769549897

We show that bilateral symmetry plane estimation for three-dimensional (3-D) shapes may be carried out accurately, and efficiently, in the spherical harmonic domain. Our methods are valuable for applications where spherical harmonic expansion is already employed, such as 3-D shape registration, morphometry, and retrieval. We show that the presence of bilateral symmetry in the 3-D shape is equivalent to a linear phase structure in the corresponding spherical harmonic coefficients, and provide algorithms for estimating the orientation of the symmetry plane. the benefit of using spherical harmonic phase is that symmetry estimation reduces to matching a compact set of descriptors, without the need to solve a correspondence problem. Our methods work on point clouds as well as large-scale mesh models of 3-D shapes.

关键词： computer graphics image registration image retrieval

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66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：