检索结果-内蒙古大学图书馆

arXiv 2018年

作者： Oberweger, Markus Rad, Mahdi Lepetit, Vincent Institute for Computer Graphics and Vision Graz University of Technology Graz Austria Laboratoire Bordelais de Recherche en Informatique Université de Bordeaux Bordeaux France

We introduce a novel method for robust and accurate 3D object pose estimation from a single color image under large occlusions. Following recent approaches, we first predict the 2D projections of 3D points related to the target object and then compute the 3D pose from these correspondences using a geometric method. Unfortunately, as the results of our experiments show, predicting these 2D projections using a regular CNN or a Convolutional Pose Machine is highly sensitive to partial occlusions, even when these methods are trained with partially occluded examples. Our solution is to predict heatmaps from multiple small patches independently and to accumulate the results to obtain accurate and robust predictions. Training subsequently becomes challenging because patches with similar appearances but different positions on the object correspond to different heatmaps. However, we provide a simple yet effective solution to deal with such ambiguities. We show that our approach outperforms existing methods on two challenging datasets: The Occluded LineMOD dataset and the YCB-Video dataset, both exhibiting cluttered scenes with highly occluded objects. Copyright © 2018, The Authors. All rights reserved.

关键词： Forecasting

来源：评论

学校读者我要写书评

暂无评论

CG-SENSE revisited: Results from the first ISMRM reproducibility challenge

arXiv

引用

arXiv 2020年

作者： Maier, Oliver Baete, Steven H. Fyrdahl, Alexander Hammernik, Kerstin Harrevelt, Seb Kasper, Lars Karakuzu, Agah Loecher, Michael Patzig, Franz Tian, Ye Wang, Ke Gallichan, Daniel Uecker, Martin Knoll, Florian Institute of Medical Engineering Graz University of Technology Graz Austria Center for Biomedical Imaging New York University School of Medicine New YorkNY United States Department of Clinical Physiology Karolinska University Hospital Karolinska Institutet Stockholm Sweden Department of Computing Imperial College London London United Kingdom Institute of Computer Graphics and Vision Graz University of Technology Graz Austria Department of Biomedical Engineering Eindhoven University of Technology Eindhoven Netherlands Institute for Biomedical Engineering ETH Zurich University of Zurich Zurich Switzerland Translational Neuromodeling Unit Institute for Biomedical Engineering University of Zurich ETH Zurich Zurich Switzerland NeuroPoly Lab Institute of Biomedical Engineering Polytechnique Montréal Montréal Canada Department of Radiology Stanford University StanfordCA United States Department of Radiology and Imaging Sciences University of Utah Salt Lake CityUT United States Ming Hsieh Department of Electrical and Computer Engineering Viterbi School of Engineering University of Southern California Los AngelesCA United States Department of Electrical Engineering and Computer Sciences University of California Berkeley BerkeleyCA United States Cardiff University Brain Research Imaging Centre Cardiff United Kingdom Institute for Diagnostic and Interventional Radiology University Medical Center Göttingen Göttingen Germany Germany University of Göttingen Germany University of Göttingen Germany

Purpose The aim of this work is to shed light on the issue of reproducibility in MR image reconstruction in the context of a challenge. Participants had to recreate the results of "Advances in sensitivity encoding with arbitrary k-space trajectories" by Pruessmann et al. Methods The task of the challenge was to reconstruct radially acquired multi-coil k-space data (brain/heart) following the method in the original paper, reproducing its key figures. Results were compared to consolidated reference implementations created after the challenge, accounting for the two most common programming languages used in the submissions (Matlab/Python). Results Visually, differences between submissions were small. Pixel-wise differences originated from image orientation, assumed field-of-view or resolution. The reference implementations were in good agreement, both visually and in terms of image similarity metrics. Discussion and Conclusion While the description level of the published algorithm enabled participants to reproduce CG-SENSE in general, details of the implementation varied, e.g., density compensation or Tikhonov regularization. Implicit assumptions about the data lead to further differences, emphasizing the importance of sufficient meta-data accompanying open data sets. Defining reproducibility quantitatively turned out to be non-trivial for this image reconstruction challenge, in the absence of ground-truth results. Typical similarity measures like NMSE of SSIM were misled by image intensity scaling and outlier pixels. Thus, to facilitate reproducibility, researchers are encouraged to publish code and data alongside the original paper. Future methodological papers on MR image reconstruction might benefit from the consolidated reference implementations of CG-SENSE presented here, as a benchmark for methods comparison. Copyright © 2020, The Authors. All rights reserved.

关键词： Magnetic resonance imaging

来源：评论

学校读者我要写书评

暂无评论

VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images

arXiv

引用

arXiv 2020年

作者： Sekuboyina, Anjany Kumar Husseini, Malek E. Bayat, Amirhossein Löffler, Maximilian Liebl, Hans Li, Hongwei Tetteh, Giles Kukačka, Jan Payer, Christian Štern, Darko Urschler, Martin Chen, Maodong Cheng, Dalong Lessmann, Nikolas Hu, Yujin Wang, Tianfu Yang, Dong Xu, Daguang Ambellan, Felix Amiranashvili, Tamaz Ehlke, Moritz Lamecker, Hans Lehnert, Sebastian Lirio, Marilia de Olaguer, Nicolás Pérez Ramm, Heiko Sahu, Manish Tack, Alexander Zachow, Stefan Jiang, Tao Ma, Xinjun Angerman, Christoph Wang, Xin Brown, Kevin Kirszenberg, Alexandre Puybareau, Élodie Chen, Di Bai, Yiwei Rapazzo, Brandon H. Yeah, Timyoas Zhang, Amber Xu, Shangliang Hou, Feng He, Zhiqiang Zeng, Chan Xiangshang, Zheng Liming, Xu Netherton, Tucker J. Mumme, Raymond P. Court, Laurence E. Huang, Zixun He, Chenhang Wang, Li-Wen Ling, Sai Ho Huynh, Lê Duy Boutry, Nicolas Jakubicek, Roman Chmelik, Jiri Mulay, Supriti Sivaprakasam, Mohanasankar Paetzold, Johannes C. Shit, Suprosanna Ezhov, Ivan Wiestler, Benedikt Glocker, Ben Valentinitsch, Alexander Rempfler, Markus Menze, Björn H. Kirschke, Jan S. Department of Informatics Technical University of Munich Germany Munich School of BioEngineering Technical University of Munich Germany Department of Neuroradiology Klinikum Rechts der Isar Germany Department for Quantitative Biomedicine University of Zurich Switzerland Friedrich Miescher Institute for Biomedical Engineering Switzerland Institute of Biological and Medical Imaging Helmholtz Zentrum München Germany Department of Computing Imperial College London United Kingdom Institute of Computer Graphics and Vision Graz University of Technology Austria Gottfried Schatz Research Center: Biophysics Medical University of Graz Austria School of Computer Science The University of Auckland New Zealand Computer Vision Group iFLYTEK Research South China China Department of Radiology and Nuclear Medicine Radboud University Medical Center Nijmegen Netherlands Shenzhen Research Institute of Big Data China School of Biomedical Engineering Health Science Center Shenzhen University China NVIDIA Corporation United States Zuse Institute Berlin Germany 1000shapes GmbH Berlin Germany Damo Academy Alibaba Group China Department of Mathematics University of Innsbruck Austria Department of Electronic Engineering Fudan University China New York University United States France Deep Reasoning AI Inc United States Technical University of Munich Germany East China Normal University China Chinese Academy of Sciences China Lenovo Group China Ping An Technologies China College of Computer Science and Technology Zhejiang University China Real Doctor AI Research Centre Zhejiang University China The University of Texas MD Anderson Cancer Center United States Department of Electronic and Information Engineering The Hong Kong Polytechnic University China Department of Computing The Hong Kong Polytechnic University China The School of Biomedical Engineering University of Technology Sydney Australia Department of Biomedical Engineering Brno University of Technology Czech Republic India

Vertebral labelling and segmentation are two fundamental tasks in an automated spine processing pipeline. Reliable and accurate processing of spine images is expected to benefit clinical decision support systems for diagnosis, surgery planning, and population-based analysis of spine and bone health. However, designing automated algorithms for spine processing is challenging predominantly due to considerable variations in anatomy and acquisition protocols and due to a severe shortage of publicly available data. Addressing these limitations, the Large Scale Vertebrae Segmentation Challenge (VerSe) was organised in conjunction with the International Conference on Medical Image Computing and computer Assisted Intervention (MICCAI) in 2019 and 2020, with a call for algorithms tackling the labelling and segmentation of vertebrae. Two datasets containing a total of 374 multi-detector CT scans from 355 patients were prepared and 4505 vertebrae have individually been annotated at voxel level by a human-machine hybrid algorithm (https://***/nqjyw/, https://***/t98fz/). A total of 25 algorithms were benchmarked on these datasets. In this work, we present the results of this evaluation and further investigate the performance variation at the vertebra level, scan level, and different fields of view. We also evaluate the generalisability of the approaches to an implicit domain shift in data by evaluating the top-performing algorithms of one challenge iteration on data from the other iteration. The principal takeaway from VerSe: the performance of an algorithm in labelling and segmenting a spine scan hinges on its ability to correctly identify vertebrae in cases of rare anatomical variations. The VerSe content and code can be accessed at: https://***/anjany/verse. © 2020, CC BY-NC-ND.

关键词： computerized tomography

来源：评论

学校读者我要写书评

暂无评论

TExVis: An Interactive Visual Tool to Explore Twitter Data

TExVis: An Interactive Visual Tool to Explore Twitter Data

引用

19th Eurographics/IEEE VGTC Conference on Visualization, EuroVis 2017

作者： Humayoun, Shah Rukh Ardalan, Saman AlTarawneh, Ragaad Ebert, Achim Computer Graphics and HCI Group University of Kaiserslautern Germany Informaiton Technology Department Mutah University Jordan

ISBN: (纸本)9783038680437

Exploring tweets enables us understanding people's reaction and feedback regarding any particular event or product. Many tools have been developed to visualize Twitter data based on some criteria, e.g., keyword frequency or evolution of topics. Visualizing the relations between the keywords of the underlying Twitter data opens another window to analyze the people's reaction towards a particular event/product. Targeting this concern, our developed tool, called TExVis (Tweets Explorer and Visualizer), visualizes important keywords (e.g., hashtags, nouns, verbs) from the underlying tweets based on their frequency and shows the relations between them based on some criteria (e.g., the common tweets), using an extended Chord diagram. TExVis also visualizes the sentimental polarity for a better understanding of the keywords associated tweets. Further, the provided interaction, multi-level navigation, and filtering options help the users in better exploration of the underlying tweets. A user study with 16 participants shows a high acceptance towards the tool and our approach in general. © 2017 The Author(s) Eurographics Proceedings © 2017 The Eurographics Association.

关键词： Social networking (online)

来源：评论

学校读者我要写书评

暂无评论

Evaluating Cognitive Load: Force-directed Layout vs. Chord Layout

Evaluating Cognitive Load: Force-directed Layout vs. Chord L...

引用

19th Eurographics / IEEE VGTC Conference on Visualization, EuroVis 2017

作者： Moses, Ricarda Humayoun, Shah Rukh AlTarawneh, Ragaad Ebert, Achim Computer Graphics and HCI Group University of Kaiserslautern Germany Informaiton Technology Department Mutah University Jordan

ISBN: (纸本)9783038680444

Understanding cognitive processes during the interaction with visualizations, specifically limitations of working memory, opens a new perspective on evaluations and encourages a more user-centric design approach. In a user study we evaluated two graph data visualization approaches (i.e., the force-directed layout and the Chord layout) using a cognitive load questionnaire to assess the three load types: intrinsic, extraneous, and germane load. Tasks were designed to encourage insight and sensemaking in the participants during the evaluation. This type of evaluation helps to assess the users' mental processes during sensemaking and graph reading in the underlying layouts. Further, such study findings would help visualization designers in choosing the appropriate layout type for their graph data. © 2017 The Author(s) Eurographics Proceedings © 2017 The Eurographics Association.

关键词： Visualization

来源：评论

学校读者我要写书评

暂无评论

Plane-based surface regularization for urban 3D reconstruction 28

Plane-based surface regularization for urban 3D reconstructi...

引用

28th British Machine Vision Conference, BMVC 2017

作者： Holzmann, Thomas Oswald, Martin R. Pollefeys, Marc Fraundorfer, Friedrich Bischof, Horst Institute of Computer Graphics and Vision Graz University of Technology Graz Austria Department of Computer Science ETH Zurich Zurich Switzerland Microsoft Redmond United States

ISBN: (纸本)190172560X

We propose a method for urban 3D reconstruction that is a hybrid between a volumetric 3D reconstruction approach and a plane fitting approach in order to obtain a denoised and compact representation of the scene. In our hybrid approach, a single global optimization, using visibility as main information, defines whether the final reconstructed surface should align with a detected plane or rather follow the details of the input data. Our method is based on an established tetrahedral occupancy labeling approach which we taylor for urban reconstruction by adding the possibility to favor an alignment of the surface with detected planes. We further add novel regularization terms that favor Manhattan-like structures and which allow to control the level of detail of the output model. A variety of experiments demonstrate state-of-the-art performance and show that our approach is suitable for both indoor and outdoor environments. © 2017. The copyright of this document resides with its authors.

关键词： Global optimization

来源：评论

学校读者我要写书评

暂无评论

An Interactive Visual Representation to Explore Association with Hierarchical Social Circles

An Interactive Visual Representation to Explore Association ...

引用

19th Eurographics / IEEE VGTC Conference on Visualization, EuroVis 2017

作者： Humayoun, Shah Rukh Ali, Syed Hammad AlTarawneh, Ragaad Ebert, Achim Computer Graphics and HCI Group University of Kaiserslautern Germany Informaiton Technology Department Mutah University Jordan

ISBN: (纸本)9783038680444

Showing the relations between the contacts of an ego network, a subset of a large social network, and these contacts' associations to different social circles enables us exploring inside behavior of the underlying ego network. Normally, these social circles contain multiple hierarchies in them and many times the social circles at the second or lower level in the hierarchy are non-mutually exclusive. In this work, we propose an intuitive design solution to visualize an ego network with associated social circles, where the inside Chord diagram represents the contacts and their relations in an ego network while the outside arcs represent the associated social circles, keeping their hierarchies and the non-mutually exclusive property. Our HiSoC-Vis tool provides a number of interaction and filtering options to make the resulting visualization more intuitive and customizable. © 2017 The Author(s) Eurographics Proceedings © 2017 The Eurographics Association.

关键词： computer graphics

来源：评论

学校读者我要写书评

暂无评论

Image Encryption Using 2D Sine-Piecewise Linear Chaotic Map

Image Encryption Using 2D Sine-Piecewise Linear Chaotic Map

引用

International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR)

作者： Yan-Ru Zhong Hua-Yi Liu Xi-Yan Sun Ru-Shi Lan Xiao-Nan Luo School of Computer Science and Information Security Guilin University of Electronic Technology Guilin China School of Information and Communication Guilin University of Electronic Technology Guilin China Guangxi Colleges and Universities Key Laboratory of Intelligent Processing of Computer Image and Graphics Guilin University of Electronic Technology Guilin China

In this paper, a new image encryption algorithm is proposed by integrating Sine and piecewise linear chaotic maps. In order to realize the effect of encrypted image, the security key and 2D Sine-piecewise linear chaotic map (SPLCM) are used to encrypt the image by using random sequence and random matrix, and then using the replacement operation and the diffusion operation of the original image. The proposed image encryption algorithm is simple and practical, and the simulation results show that this algorithm is able to encrypt different types of digital images into unidentifiable random images. The security analysis also shows that this algorithm has a higher security level.

关键词： Encryption Two dimensional displays Digital images Chaotic communication

来源：评论

学校读者我要写书评

暂无评论

Holographic signing avatars for deaf education 3rd

Holographic signing avatars for deaf education

引用

3rd International Conference on E-Learning, E-Education, and Online Training, eLEOT 2016

作者： Adamo-Villani, Nicoletta Anasingaraju, Saikiran Department of Computer Graphics Technology Purdue University 401 N. Grant Street West LafayetteIN47907 United States

ISBN: (纸本)9783319496245

The paper describes the development and initial evaluation of an Augmented Reality (AR) system aimed at improving deaf children’s competence in mathematics. The system allows for creating 3D animated avatars that translate from spoken English to Signed English (SE) in real time. The virtual sign language interpreters, displayed as 3D holograms in a mixed reality environment, can be used in the classroom to translate in real time the math lessons delivered by the teacher, at home to facilitate communication between hearing parents and deaf children, and at home or in the lab when children interact with math digital learning materials. An initial formative evaluation with deaf students, parents and educators supports the usability and usefulness of the AR system. © ICST Institute for computer Sciences, Social Informatics and Telecommunications Engineering 2017.

关键词： Augmented reality

来源：评论

学校读者我要写书评

暂无评论

Preface

引用

Journal of computer Science & technology 2019年第2期34卷 1-2页

作者： Shi-Min Hu Hongbo Fu Marcus Magnor Department of Computer Science and Technology Tsinghua University Beijing China School of Creative Media City University of Hong Kong Hong Kong Hong Kong Computer Graphics Laboratory Braunschweig University of Technology Braunschweig Germany

It is our great pleasure to announce the publication of this special section in Journal of computer Science and technology (JCST),Advances in computer Science and technology --Current Advances in the NSFC Joint Resear... 详细信息

关键词： publication computer Science and technology Chinese Scholars

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：