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

252 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541-550 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：

Video Falsifying by Motion Interpolation and Inpainting

Video Falsifying by Motion Interpolation and Inpainting

引用

26th ieee conference on computer vision and pattern recognition (cvpr 2008), vol.9

作者： Timothy K. Shih Nick C. Tan Joseph C. Tsai Hsing-Ying Zhong Department of Computer Science and Information Engineering Tamkang University Taiwan

We change the behavior of actors in a video. For instance, the outcome of a 100-meter race in the Olympic game can be falsified. We track objects and segment motions using a modified mean shift mechanism. the resulting video layers can be played in different speeds and at different reference points with respect to the original video. In order to obtain a smooth movement of target objects, a motion interpolation mechanism is proposed based on continuous stick figures (i.e., a video of human skeleton) and video inpainting. the video inpainting mechanism is performed in a quasi-3D space via guided 3D patch matching for filling. Interpolated target objects and background layers are fused by using graph cut. It is hard to tell whether a falsified video is the original. We demonstrate the original and the falsified videos in our website at ). the proposed technique can be used to create special effects in movie industry.

关键词： Motion interpolation Video inpainting Image completion Graph cut Mean shift Video special effect

来源：评论

学校读者我要写书评

暂无评论

Global Pose Estimation Using Non-Tree Models

Global Pose Estimation Using Non-Tree Models

引用

26th ieee conference on computer vision and pattern recognition (cvpr 2008), vol.3

作者： Hao Jiang David R. Martin Computer Science Department Boston College Graduate School Chestnut Hill MA USA

We propose a novel global pose estimation method to detect body parts of articulated objects in images based on non-tree graph models. there are two kinds of edges defined in the body part relation graph: Strong (tree) edges corresponding to the body plan that can enforce any type of constraint, and weak (non-tree) edges that express exclusion constraints arising from inter-part occlusion and symmetry conditions. We express optimal part localization as a multiple shortest path problem in a set of correlated trellises constructed from the graph model. Strong model edges generate the trellises, while weak model edges prohibit implausible poses by generating exclusion constraints among trellis nodes and edges. the optimization may be expressed as an integer linear program and solved using a novel two-stage relaxation scheme. Experiments show that the proposed method has a high chance of obtaining the globally optimal pose at low computational cost.

关键词： Tree graphs Optimization methods Assembly Image edge detection Shortest path problem Computational efficiency Leg Object detection Shape Face detection

来源：评论

学校读者我要写书评

暂无评论

Graph-Shifts: Natural Image Labeling by Dynamic Hierarchical Computing

Graph-Shifts: Natural Image Labeling by Dynamic Hierarchical...

引用

26th ieee conference on computer vision and pattern recognition (cvpr 2008), vol.4

作者： Jason J. Corso Alan Yuille Zhuowen Tu Computer Science and Engineering SUNY Buffalo USA Statistics UCLA USA Neurology UCLA USA

In this paper, we present a new approach for image labeling based on the recently introduced graph-shifts algorithm. Graph-shifts is an energy minimization algorithm that does labeling by dynamically manipulating, or shifting, the parent-child relationships in a hierarchical decomposition of the image. Each shift optimally reduces the energy by indirectly causing a change to the labeling;graph-shifts is able to rapidly compute and select this optimal shift at every iteration. there are no constraints on the terms of the (pairwise) energy function. the algorithm was originally presented in the context of medical image labeling using conditional random field models. In this paper, we consider the algorithm in the context of both low- and high-level natural image labeling. We show that for examples in both classes of problems, graph-shifts does labeling both accurately and rapidly. For low-level vision, we explore image restoration, and for high-level vision, we make use of a hybrid discriminative-generative model to segment and label images into semantically meaningful regions (e.g., trees, buildings, etc.). For both problems, we obtain comparable or superior results to the state-of-the-art computed in just a few seconds per image.

关键词： Labeling Minimization methods Biomedical imaging Image segmentation Tree graphs Belief propagation computer science Power engineering and energy Statistics Nervous system

来源：评论

学校读者我要写书评

暂无评论

General Constraints for Batch Multiple-Target Tracking Applied to Large-Scale Videomicroscopy

General Constraints for Batch Multiple-Target Tracking Appli...

引用

26th ieee conference on computer vision and pattern recognition (cvpr 2008), vol.4

作者： Kevin Smith Alan Carleton Vincent Lepetit Brain Mind Institute École Polytechnique Fédérale de Lausanne (EPFL) Flavour Perception Group Lausanne Switzerland Brain Mind Institute École Polytechnique Fédérale de Lausanne (EPFL) Computer Vision Laboratory Lausanne Switzerland

While there is a large class of Multiple-Target Tracking (MTT) problems for which batch processing is possible and desirable, batch MTT remains relatively unexplored in comparison to sequential approaches. In this paper, we give a principled probabilistic formalization of batch MTT in which we introduce two new, very general constraints that considerably help us in reaching the correct solution. First, we exploit the correlation between the appearance of a target and its motion. Second, entrances and departures of targets are encouraged to occur at the boundaries of the scene. We show how to implement these constraints in a formal and efficient manner. Our approach is applied to challenging 3-D biomedical imaging data where the number of targets is unknown and may vary, and numerous challenging tracking events occur. We demonstrate the ability of our model to simultaneously track the nuclei of over one hundred migrating neuron precursor cells in image stack series collected from a 2-photon microscope.

关键词： Large-scale systems Target tracking Neurons Layout Biomedical imaging Microscopy computer vision Laboratories Image analysis Biomedical computing

来源：评论

学校读者我要写书评

暂无评论

Robust Motion Estimation and Structure Recovery from Endoscopic Image Sequences With an Adaptive Scale Kernel Consensus Estimator

Robust Motion Estimation and Structure Recovery from Endosco...

引用

26th ieee conference on computer vision and pattern recognition (cvpr 2008), vol.9

作者： Hanzi Wang Daniel Mirota Masaru Ishii Gregory D. Hager Computer Science Department Johns Hopkins University Baltimore MD USA Department of Otolaryngology-Head and Neck Surgery Johns Hopkins Bayview Medical Center Baltimore MD USA

To correctly estimate the camera motion parameters and reconstruct the structure of the surrounding tissues from endoscopic image sequences, we need not only to deal with outliers (e.g., mismatches), which may involve more than 50% of the data, but also to accurately distinguish inliers (correct matches) from outliers. In this paper, we propose a new robust estimator, Adaptive Scale Kernel Consensus (ASKC), which can tolerate more than 50 percent outliers while automatically estimating the scale of inliers. With ASKC, we develop a reliable feature tracking algorithm. this, in turn, allows us to develop a complete system for estimating endoscopic camera motion and reconstructing anatomical structures from endoscopic image sequences. Preliminary experiments on endoscopic sinus imagery have achieved promising results.

关键词： Motion estimation Robustness Image sequences Kernel Surgery Cameras Anatomy Biomedical imaging Image reconstruction Statistics

来源：评论

学校读者我要写书评

暂无评论

Blindly Separating Mixtures of Multiple Layers with Spatial Shifts

Blindly Separating Mixtures of Multiple Layers with Spatial ...

引用

26th ieee conference on computer vision and pattern recognition (cvpr 2008), vol.1

作者： Kun Gai Zhenwei Shi Changshui Zhang Visiting Researcher School of Electrical Electronic and Computer Engineering Tsinghua University Beijing China Image Processing Center School of Astronautics Beijing Aeronautics and Astronautics University Beijing China

We address the problem of blindly separating mixtures of multiple layer images with unknown spatial shifts and mixing coefficients. Our proposed method can handle the over-determined, determined and under-determined cases where mixtures are more than, as many as and fewer than layers, respectively. the method is fast in over-determined and determined cases, with the same complexity as the fast Fourier transform (FFT), and can separate more layers from fewer mixtures in the under-determined case. It consists of two main steps. First, a novel sparse blind separation algorithm is applied, to estimate the spatial shifts, the mixing coefficients and the edge image of each layer. Second, all layers are reconstructed, by large scale linear programming in the under-determined case, or by least-squares solutions in other cases. the effectiveness of this technology is shown in the experiments on two simulated mixtures of four layers with spatial shifts, real mixture photos containing transparency and reflections, and real mixture images in a dissolve from a video.

关键词： Windows Layout Laboratories Space technology Fast Fourier transforms Image reconstruction Linear programming Optical reflection Intelligent systems Information science

来源：评论

学校读者我要写书评

暂无评论

Probabilistic Graph and Hypergraph Matching

Probabilistic Graph and Hypergraph Matching

引用

26th ieee conference on computer vision and pattern recognition (cvpr 2008), vol.4

作者： Ron Zass Amnon Shashua School of Computer Science and Engineering Hebrew University of Jerusalem Israel

We consider the problem of finding a matching between two sets of features, given complex relations among them, going beyond pairwise. Each feature set is modeled by a hypergraph where the complex relations are represented by hyper-edges. A match between the feature sets is then modeled as a hypergraph matching problem. We derive the hyper-graph matching problem in a probabilistic setting represented by a convex optimization. First, we formalize a soft matching criterion that emerges from a probabilistic interpretation of the problem input and output, as opposed to previous methods that treat soft matching as a mere relaxation of the hard matching problem. Second, the model induces an algebraic relation between the hyper-edge weight matrix and the desired vertex-to-vertex probabilistic matching. third, the model explains some of the graph matching normalization proposed in the past on a heuristic basis such as doubly stochastic normalizations of the edge weights. A key benefit of the model is that the global optimum of the matching criteria can be found via an iterative successive projection algorithm. the algorithm reduces to the well known Sinkhorn [15] row/column matrix normalization procedure in the special case when the two graphs have the same number of vertices and a complete matching is desired. Another benefit of our model is the straightforward scalability from graphs to hyper-graphs.

关键词： Stochastic processes Projection algorithms Iterative algorithms Scalability computer science Image databases Image recognition Optimal matching Pixel Object recognition

来源：评论

学校读者我要写书评

暂无评论

Physical Simulation for Probabilistic Motion Tracking

Physical Simulation for Probabilistic Motion Tracking

引用

26th ieee conference on computer vision and pattern recognition (cvpr 2008), vol.6

作者： Marek Vondrak Leonid Sigal Odest Chadwicke Jenkins Brown University USA University of Toronto Canada

Human motion tracking is an important problem in computer vision. Most prior approaches have concentrated on efficient inference algorithms and prior motion models;however, few can explicitly account for physical plausibility of recovered motion. the primary purpose of this work is to enforce physical plausibility in the tracking of a single articulated human subject. Towards this end, we propose a full-body 3D physical simulation-based prior that explicitly incorporates motion control and dynamics into the Bayesian filtering framework. We consider the human's motion to be generated by a "control loop". In this control loop, Newtonian physics approximates the rigid-body motion dynamics of the human and the environment through the application and integration of forces. Collisions generate interaction forces to prevent physically impossible hypotheses. this allows us to properly model human motion dynamics, ground contact and environment interactions. For efficient inference in the resulting high-dimensional state space, we introduce exemplar-based control strategy to reduce the effective search space. As a result we are able to recover the physically-plausible kinematic and dynamic state of the body from monocular and multi-view imagery. We show, both quantitatively and qualitatively, that our approach performs favorably with respect to standard Bayesian filtering methods.

关键词： Tracking Humans Motion control Bayesian methods Filtering Computational modeling computer vision Inference algorithms Force control Physics

来源：评论

学校读者我要写书评

暂无评论

On Benchmarking Camera Calibration and Multi-View Stereo for High Resolution Imagery

On Benchmarking Camera Calibration and Multi-View Stereo for...

引用

26th ieee conference on computer vision and pattern recognition (cvpr 2008), vol.9

作者： C. Strecha W. von Hansen L. Van Gool P. Fua U. thoennessen CVLab EPFL Lausanne Switzerland FGAN-FOM Ettlingen Germany CVLab ETHZ Zurich Switzerland

In this paper we want to start the discussion on whether image based 3-D modelling techniques can possibly be used to replace LIDAR systems for outdoor 3D data acquisition. Two main issues have to be addressed in this context: (i) camera calibration (internal and external) and (ii) dense multi-view stereo. To investigate both, we have acquired test data from outdoor scenes both with LIDAR and cameras. Using the LIDAR data as reference we estimated the ground-truth for several scenes. Evaluation sets are prepared to evaluate different aspects of 3D model building. these are: (i) pose estimation and multi-view stereo with known internal camera parameters;(ii) camera calibration and multi-view stereo with the raw images as the only input and (iii) multi-view stereo.

关键词： Cameras Calibration Image resolution Laser radar Layout three dimensional displays Data acquisition Rendering (computer graphics) Shape measurement Clouds

来源：评论

学校读者我要写书评

暂无评论

Pan, Zoom, Scan - Time-coherent, Trained Automatic Video Cropping

Pan, Zoom, Scan - Time-coherent, Trained Automatic Video Cro...

引用

26th ieee conference on computer vision and pattern recognition (cvpr 2008), vol.10

作者： thomas Deselaers Philippe Dreuw Hermann Ney Human Language Technology and Pattern Recognition Group RWTH Aachen University Aachen Germany

We present a method to fully automatically fit videos in 16:9 format on 4:3 screens and vice versa. It can be applied to arbitrary aspect ratios and can be used to make videos suitable for mobile viewing devices with small and possibly uncommonly sized displays. the cropping sequence is optimised over time to create smooth transitions and thus leads to an excellent viewing experience. Current televisions have simple and often disturbing methods which either show the centre region of the image, distort the image, or pad it with black borders. the technique presented here can fully automatically find the "right" viewing area for each image in a video sequence. It works in real-time with only very little time-shift. We employ different low-level features and a log-linear model to learn how to find the right area. the method is able to automatically decide whether padding with black borders is necessary or whether all relevant image areas fit on screen by cropping the image. Evaluation is done on ten videos from five different types of content and the baseline methods are clearly outperformed.

关键词： Displays Motion pictures TV Video sequences Crops Layout Humans pattern recognition DVD Image resolution

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 << < 51 52 53 54 55 56 57 58 59 60 > >>

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：