检索结果-内蒙古大学图书馆

6th Eurographics Workshop on 3D Object Retrieval, 3DOR 2013

作者： Machado, J. Ferreira, A. Pascoal, P.B. Abdelrahman, M. Aono, M. El-Melegy, M. Farag, A. Johan, H. Li, B. Lu, Y. Tatsuma, A. INESC-ID IST Technical University of Lisbon Portugal Microsoft Language Development Center Portugal Toyohashi University of Technology Japan Department of Computer Science Texas State University San Marcos United States Fraunhofer IDM at NTU Singapore Singapore Computer Vision and Image Processing Laboratory University of Louisville Louisville United States

ISBN: (纸本)9783905674446

The SHREC'13 Track: Retrieval of Objects Captured with Low-Cost Depth-Sensing Cameras is a first attempt at evaluating the effectiveness of 3D shape retrieval algorithms in low fidelity model databases, such as the ones captured with commodity depth cameras. Both target and query set are composed by objects captured with a Kinect camera and the objective is to retrieve the models in the target set who were considered relevant by a human-generated ground truth. Given how widespread such devices are, and how easy it is becoming for an everyday user to capture models in his household, the necessity of algorithms for these new types of 3D models is also increasing. Three groups have participated in the contest, providing rank lists for the set of queries, which is composed of 12 models from the target set. © The Eurographics Association 2013.

关键词： Cameras

来源：评论

学校读者我要写书评

暂无评论

Erratum to: Methods for evaluating medical tests and biomarkers

引用

Diagnostic and prognostic research 2017年第1期1卷 11页

作者： Gowri Gopalakrishna Miranda Langendam Rob Scholten Patrick Bossuyt Mariska Leeflang Anna Noel-Storr James Thomas Iain Marshall Byron Wallace Penny Whiting Clare Davenport Gowri GopalaKrishna Isabel de Salis Sue Mallett Robert Wolff Richard Riley Marie Westwood Jos Kleinen Gary Collins Hans Reitsma Karel Moons Antonia Zapf Annika Hoyer Katharina Kramer Oliver Kuss J Ensor J J Deeks E C Martin R D Riley Gerta Rücker Susanne Steinhauser Martin Schumacher Joie Ensor Kym Snell Brian Willis Thomas Debray Jon Deeks Lavinia Ferrante di Ruffano Sian Taylor-Phillips Chris Hyde Stuart A Taylor Gauraang Batnagar Lavinia Ferrante Di Ruffano Farah Seedat Aileen Clarke Sarah Byron Frances Nixon Rebecca Albrow Thomas Walker Carla Deakin Zhivko Zhelev Harriet Hunt Yaling Yang Lucy Abel James Buchanan Thomas Fanshawe Bethany Shinkins Laure Wynants Jan Verbakel Sabine Van Huffel Dirk Timmerman Ben Van Calster Aeliko Zwinderman Jason Oke Jack O'Sullivan Rafael Perera Brian Nicholson Hannah L Bromley Tracy E Roberts Adele Francis Denniis Petrie G Bruce Mann Kinga Malottki Holly Smith Lucinda Billingham Alice Sitch Oke Gerke Mie Holm-Vilstrup Eivind Antonsen Segtnan Ulrich Halekoh Poul Flemming Høilund-Carlsen Bernard G Francq Jac Dinnes Julie Parkes Walter Gregory Jenny Hewison Doug Altman William Rosenberg Peter Selby Julien Asselineau Paul Perez Aïssatou Paye Emilie Bessede Cécile Proust-Lima Christiana Naaktgeboren Joris de Groot Anne Rutjes Johannes Reitsma Emmanuel Ogundimu Jonathan Cook Yannick Le Manach Yvonne Vergouwe Romin Pajouheshnia Rolf Groenwold Karen Moons Linda Peelen Daan Nieboer Bavo De Cock Micael J Pencina Ewout W Steyerberg Jennifer Cooper Nick Parsons Chris Stinton Steve Smith Andy Dickens Rachel Jordan Alexandra Enocson David Fitzmaurice Peymane Adab Charles Boachie Gaj Vidmar Karoline Freeman Martin Connock Rachel Court Carl Moons Jessica Harris Andrew Mumford Zoe Plummer Kurtis Lee Barnaby Reeves Chris Rogers Veerle Verheyden Gianni D Angelini Gavin J Murphy Jeremy Huddy Melody Ni Katherine Good Graham Cooke 1Department of Clinical Epidemiology Biostatistics & Bioinformatics Academic Medical Center University of Amsterdam Amsterdam The Netherlands. 2Cochrane Netherlands Julius Center for Health Sciences and Primary Care University Medical Center Utrecht Utrecht Netherlands. 234Department of Clinical Epidemiology Biostatistics & Bioinformatics Academic Medical Center University of Amsterdam Amsterdam The Netherlands. 49Department of Clinical Epidemiology Biostatistics & Bioinformatics Academic Medical Center University of Amsterdam Amsterdam The Netherlands. 3Cochrane Dementia and Cognitive Improvement Group University of Oxford Oxford UK. 4EPPI-Centre Department of Social Science University College London London UK. 5Division of Health and Social Care Research King's College London London UK. 6College of Computer and Information Science Northeastern University Boston USA. 13University Hospitals Bristol NHS Foundation Trust School of Social and Community Medicine Bristol UK. 275Institute of Applied Health Research University of Birmingham Birmingham UK. 9Department of Clinical Epidemiology Biostatistics & Bioinformatics Academic Medical Center University of Amsterdam Amsterdam The Netherlands. 10School of Social and Community Medicine University of Bristol Bristol UK. 179Institute of Applied Health Research University of Birmingham Birmingham UK. 12Kleijnen Systematic Reviews Ltd York UK. 25Research Institute for Primary Care and Health Sciences Keele University Keele UK. 188Centre for Statistics in Medicine Nuffield Department of Orthopaedics Rheumatology and Musculoskeletal Sciences University of Oxford Oxford UK. 191Julius Center for Health Sciences and Primary Care University Medical Center Utrecht 3584 CG Utrecht Netherlands. 237Julius Center for Health Sciences and Primary Care University Medical Center Utrecht 3584 CG Utrecht Netherlands. 18Department of Medical Statistics University Medical Center Göttingen Göttingen Germany. 19Institute for B

[This corrects the article DOI: 10.1186/s41512-016-0001-y.].

关键词：

来源：评论

学校读者我要写书评

暂无评论

Application layer FEC with long time interleaver and fast tune-in for mobile satellite TV services

Application layer FEC with long time interleaver and fast tu...

引用

International Conference on Computing, Networking and Communications (ICNC)

作者： Valentina Pullano Cornelius Hellge Manuel Hensel Giovanni E. Corazza Thomas Schicrl Department of Electronics Computer Science and Systems University of Bologna Bologna Italy Image Processing Department Fraunhofer HHI Multimedia Communications Group Berlin Germany Multimedia Communications Group Image Processing Department Fraunhofer HHI Berlin Germany Image Communication Laboratory Berlin Institute of Technology Berlin Germany

Satellite distribution provides a cost-efficient way to expand the coverage of mobile networks to rural areas. However, to become widely accepted by users and content providers, mobile satellite services need to provide a Quality of Experience (QoE) comparable to that of mobile video services provided in cellular networks. Mobile reception by satellite is characterized by shadowing periods where the Line-Of-Sight (LoS) is lost. The only way to overcome these outage periods is to provide the means for implementing long time interleaving. Nonetheless, existing approaches for long time interleaving come at the cost of a long service tune-in time, which may last in the satellite case up to several seconds. The present work aims at demonstrating the achievable performance using an innovative approach based on the use of long time interleaving and fast service tune-in by means of application-layer forward error correction (AL-FEC), Scalable Video Coding (SVC) and unequal time interleaving. Within this work we show the performance of the novel approach in the satellite context comparing it to existing solutions.

关键词： Forward error correction Mobile communication Satellites Static VAr compensators Decoding Satellite broadcasting Media

来源：评论

学校读者我要写书评

暂无评论

On the Use of Statistical Tests on Homomorphic Filtered SAS images

On the Use of Statistical Tests on Homomorphic Filtered SAS ...

引用

Oceans 2013 - Norway

作者： Imen Mandhouj Frederic Maussang Basel Solaiman Hamid Amiri Institut Mines-Telecom Telecom Bretagne CNRS UMR 6285 Lab-STICC/CID Image and Information Processing Department National School of Engineering of Tunis (ENIT) Systems and Signal Processing Laboratory (LSTS)

ISBN: (纸本)9781479900022

The principal objective of this paper is the statically study of pre-processed Synthetic Aperture Sonar (SAS) images. Different statistical tests are applied testing for distributional assumption in general and for normality in particular. Results of our statistical study are tested on a sample of SAS image filtered using a specific homomorphic filter depicted in our previous work [1]. Accordingly, hypothesis tests and graphical testing methods has been exploited to select the best representative of a filtered sample image SAS in order to perform a follow detection process.

关键词： Homomorphic filter Sonar image Statistical image study Hypothesis test Testing for normality Detection

来源：评论

学校读者我要写书评

暂无评论

The Infrared Multispectral image Simulation Research Based on 3D Scene

The Infrared Multispectral Image Simulation Research Based o...

引用

2013 3rd International Conference on Electric and Electronics(EEIC 2013)

作者： Bo Li Huai-ci Zhao Mei Du Jinfeng Lv Department of Optical-Electronics and Information Processing Shenyang Institute of automation Chinese Academy of Science University of Chinese Academy of Science Key Laboratory of Optical-Electronics Information Processing Chinese Academy of Science Key Laboratory of Image Understanding and Computer Vision Shenyang Institute of Engineering

A method of generating infrared multispectral simulation images by 3D scene is presented. The infrared images at any observation angle of the scene and a data cube of simulation images of specific waveband could be generated by the method. Some experiments have been done in waveband 3～5μm to generate a data cube involving 401 infrared simulation images in the wavelength step 0.005μm, and the experiments results show that the simulation method presented in this paper could generate infrared multispectral images data cube rapidly. A way to reflect the differences while the observation angle changed is mentioned in this paper.

关键词： infrared multispectral simulation the data cube self-radiation

来源：评论

学校读者我要写书评

暂无评论

DOMAIN ADAPTATION WITH HIDDEN MARKOV RANDOM FIELDS

DOMAIN ADAPTATION WITH HIDDEN MARKOV RANDOM FIELDS

引用

IEEE International Geoscience and Remote Sensing Symposium

作者： Jan-Pieter Jacobs Guy Thoonen Devis Tuia Gustavo Camps-Valls Birgen Haest Paul Scheunders iMinds-Vision Lab University of Antwerp LaSIG laboratory Ecole Polytechnique Federale de Lausanne Image Processing Laboratory (IPL) Universitat de Valencia VITO-TAP Remote Sensing Department Flemish Institute for Technological Research

ISBN: (纸本)9781479911127

In this paper, we propose a method to match multitemporal sequences of hyperspectral images using Hidden Markov Random Fields. Based on the matching of the data manifold, the algorithm matches the reflectance spectra of the classes, thus allowing the reuse of labeled examples acquired on one image to classify the other. This allows valorization of spectra collected in situ to other acquisitions than the one they were acquired for, without user supervision, prior knowledge of the class reflectance in the new domain or global information about atmospheric conditions.

关键词： Multitemporal classification Domain adaptation Graph matching Hidden Markov Random Fields

来源：评论

学校读者我要写书评

暂无评论

NOVEL VARIATIONAL APPROACH FOR THE PERSPECTIVE SHAPE FROM SHADING PROBLEM USING CALIBRATED imageS

NOVEL VARIATIONAL APPROACH FOR THE PERSPECTIVE SHAPE FROM SH...

引用

IEEE International Conference on image processing

作者： Aly Abdelrahim Hossam Abdelmunim James Graham Aly Farag Computer Vision and Image Processing Laboratory ECE Dept. University of Louisville Louisville KY 40292 USA. Computer and Systems Engineering Department Faculty of Engineering Ain Shams University Cairo 11517 Egypt. ECE Dept. University of Louisville Louisville KY 40292 USA.

ISBN: (纸本)9781479923427

In this paper, We propose a new approach for solving the Lamber-tian shape from shading (SFS) problem. The proposed technique employs image information as well as camera calibration parameters. We claim that the incorporation of camera parameters results in a better surface reconstruction. In this work, we slightly modify this more realistic model in order to take into account the attenuation of the illumination due to distance. We propose a new variational formulation that relates an evolving surface model with image information, taking into consideration that the image is taken by a perspective camera with known parameters. A new energy functional is formulated to incorporate brightness, smoothness, and integrability constraints. All of these terms assume a hyper surface that evolves in time to meet their criteria. Gradient descent optimization with Euler-Lagrange is used for optimization. We constructed a database of real surfaces as a ground-truth for the experiments. The proposed approach shows superior performance when compared with other approaches in the literature.

关键词： camera calibration perspective SFS variational approach camera calibration artificial shade images Perspective image information ground truth surface modeling Surface reconstruction

来源：评论

学校读者我要写书评

暂无评论

Clinical crowns shape reconstruction - An image-based approach

Clinical crowns shape reconstruction - An image-based approa...

引用

IEEE International Symposium on Biomedical Imaging

作者： Shireen Elhabian Aly Abdelrahim Aly Farag David Tasman Wael Aboelmaaty Allan Farman Computer Vision and Image Processing Laboratory ECE Department University of Louisville Louisville KY USA School of Dentistry University of Louisville Louisville KY USA Faculty of Dentistry Mansoura University Egypt Visiting Researcher Dental school University of Louisville KY USA

ISBN: (纸本)9781467364560

Precise knowledge of the 3D shape of clinical crowns is crucial for the treatment of malocclusion problems as well as several endodontic procedures. While Computed Tomography (CT) would present such information, it is believed that there is no threshold radiation dose below which it is considered safe. In this paper, we propose an image-based approach which allows for the construction of plausible human jaw models in vivo, without ionizing radiation, using fewer sample points in order to reduce the cost and intrusiveness of acquiring models of patients teeth/jaws over time. We assume that human teeth reflectance obeys Wolff-Oren-Nayar model where we experimentally prove that teeth surface obeys the microfacet theory. The inherent relation between the photometric information and the underlying 3D shape is formulated as a statistical model where the coupled effect of illumination and reflectance is modeled using the Helmhotlz Hemispherical Harmonics (HSH)-based irradiance harmonics whereas the Principle Component Regression (PCR) approach is deployed to carry out the estimation of dense 3D shapes. Vis-`a-vis dental applications, the results demonstrate a significant increase in accuracy in favor of the proposed approach where our system is evaluated on a database of 16 jaws.

关键词： Shape image reconstruction Teeth Lighting Surface reconstruction Harmonic analysis Computational modeling

来源：评论

学校读者我要写书评

暂无评论

COMPRESSIVE SENSING-BASED image DENOISING USING ADAPTIVE MULTIPLE SAMPLING AND OPTIMAL ERROR TOLERANCE

COMPRESSIVE SENSING-BASED IMAGE DENOISING USING ADAPTIVE MUL...

引用

IEEE International Conference on Acoustics, Speech, and Signal processing

作者： Wonseok Kang Eunsung Lee Eunjung Chea Aggelos K. Katsaggelos Joonki Paik Image Processing and Intelligent Systems Laboratory Graduate School of Advanced Imaging Science Multimedia and Film Seoul Chung-Ang University Korea Department of Electrical Engineering and Computer Science Northwestern University Evanston IL 60208 USA

ISBN: (纸本)9781479903573

In this paper, we present a compressive sensing-based image denoising algorithm using spatially adaptive image representation and estimation of optimal error tolerance based on sparse signal analysis. The proposed method performs block-based multiple compressive sampling after decomposing the sparse signal into feature and non-feature regions using simple statistical analysis. For minimization of recovery error and number of iterations, the modified OMP method estimates the optimal error tolerance using the average variance in the recovery step. Experimental results demonstrate that the proposed denoising algorithm better removes noise without undesired artifacts than existing state-of-the-art methods in terms of both objective (PSNR/SSIM) and subjective measures. processing time of the proposed method is 5 to 10 times faster than the standard OMP-based method.

关键词： Tolerances physiologic tolerance Sampling system recovery image denoising image representation images Signal analysis Statistical analysis Statistical methods image denoising algorithm

来源：评论

学校读者我要写书评

暂无评论

Haptic Rendering of Cultural Heritage Objects at Different Scales

Haptic Rendering of Cultural Heritage Objects at Different S...

引用

8th International Conference, EuroHaptics 2012

作者： Sreeni, K.G. Priyadarshini, K. Praseedha, A.K. Chaudhuri, Subhasis Vision and Image Processing Laboratory Department of Electrical Engineering Indian Institute of Technology Bombay Powai Mumbai400076 India

ISBN: (纸本)9783642314001

In this work, we address the issue of virtual representation of objects of cultural heritage for haptic interaction. Our main focus is to provide a haptic access of artistic objects of any physical scale to the differently abled people. This is a low-cost system and, in conjunction with a stereoscopic visual display, gives a better immersive experience even to the sighted persons. To achieve this, we propose a simple multilevel, proxy-based hapto-visual rendering technique for point cloud data which includes the much desired scalability feature which enables the users to change the scale of the objects adaptively during the haptic interaction. For the proposed haptic rendering technique the proxy updation loop runs at a rate 100 times faster than the required haptic updation frequency of 1KHz. We observe that this functionality augments very well to the realism of the experience. © 2012, Springer-Verlag Berlin Heidelberg.

关键词： Stereo image processing

来源：评论

学校读者我要写书评

暂无评论

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：

请选择收藏分类：

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

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：