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arXiv 2017年

作者： Chen, Xiaojun Xu, Lu Li, Xing Egger, Jan Institute of Biomedical Manufacturing and Life Quality Engineering State Key Laboratory of Mechanical System and Vibration School of Mechanical Engineering Shanghai Jiao Tong University Shanghai China Faculty of Computer Science and Biomedical Engineering Institute for Computer Graphics and Vision Graz University of Technology Graz Austria BioTechMed-Graz Graz Austria

Patient-specific cranial implants are important and necessary in the surgery of cranial defect restoration. However, traditional methods of manual design of cranial implants are complicated and time-consuming. Our purpose is to develop a novel software named EasyCrania to design the cranial implants conveniently and efficiently. The process can be divided into five steps, which are mirroring model, clipping surface, surface fitting, the generation of the initial implant and the generation of the final implant. The main concept of our method is to use the geometry information of the mirrored model as the base to generate the final implant. The comparative studies demonstrated that the EasyCrania can improve the efficiency of cranial implant design significantly. And, the intra- and inter-rater reliability of the software were stable, which were 87.07 ± 1.6% and 87.73 ± 1.4% respectively. Copyright © 2017, The Authors. All rights reserved.

关键词： Restoration

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IN2CO - A Visualization Framework for Intuitive Collaboration

IN2CO - A Visualization Framework for Intuitive Collaboratio...

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18th Eurographics/IEEE VGTC Conference on Visualization, EuroVis 2016

作者： Rupprecht, Franca A. Hamann, Bernd Weidig, Christian Aurich, Jan Ebert, Achim Computer Graphics and HCI TU Kaiserslautern Germany Department of Computer Science University of California DavisCA95616 United States Institute for Manufacturing Technology and Production Systems TU Kaiserslautern Germany

ISBN: (纸本)9783038680147

Today, the need for interaction and visualization techniques to fulfill user requirements for collaborative work is ever increasing. Current approaches do not suffice since they do not consider the simultaneous work of participating users, different views of the data being analyzed, or the exchange of information between different data emphases. We introduce Intuitive Collaboration (IN2CO), a scalable visualization framework that supports decision-making processes concerning multilevels and multi-roles. IN2CO improves the state of the art by integrating ubiquitous technologies and existing techniques to explore and manipulate data and dependencies collaboratively. A prototype has been tested by mechanical engineers with expertise in factory planning. Preliminary results imply that IN2CO supports communication and decision-making in a team-oriented manner. © 2016 The Author(s) Eurographics Proceedings © 2016 The Eurographics Association.

关键词： Visualization

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computer-aided position planning of miniplates to treat facial bone defects

arXiv

引用

arXiv 2017年

作者： Egger, Jan Wallner, Jürgen Gall, Markus Chen, Xiaojun Schwenzer-Zimmerer, Katja Reinbacher, Knut Schmalstieg, Dieter Institute for Computer Graphics and Vision Faculty of Computer Science and Biomedical Engineering Graz University of Technology Graz Austria BioTechMed-Graz Graz Austria Department of Oral & Maxillofacial Surgery Medical University of Graz Graz Styria Austria Institute of Biomedical Manufacturing and Life Quality Engineering School of Mechanical Engineering Shanghai Jiao Tong University Shanghai China

In this contribution, a software system for computer-aided position planning of miniplates to treat facial bone defects is proposed. The intra-operatively used bone plates have to be passively adapted on the underlying bone contours for adequate bone fragment stabilization. However, this procedure can lead to frequent intra-operatively performed material readjustments especially in complex surgical cases. Our approach is able to fit a selection of common implant models on the surgeon’s desired position in a 3D computer model. This happens with respect to the surrounding anatomical structures, always including the possibility of adjusting both the direction and the position of the used osteosynthesis material. By using the proposed software, surgeons are able to pre-plan the out coming implant in its form and morphology with the aid of a computer-visualized model within a few minutes. Further, the resulting model can be stored in STL file format, the commonly used format for 3D printing. Using this technology, surgeons are able to print the virtual generated implant, or create an individually designed bending tool. This method leads to adapted osteosynthesis materials according to the surrounding anatomy and requires further a minimum amount of money and time. Copyright © 2017, The Authors. All rights reserved.

关键词： Defects

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TimeTubes: Visual Exploration of Observed Blazar Datasets

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Journal of Physics: Conference Series 2018年第1期1036卷

作者： Issei Fujishiro Naoko Sawada Masanori Nakayama Hsiang-Yun Wu Kazuho Watanabe Shigeo Takahashi Makoto Uemura Center for Information and Computer Science Keio University 3-14-1 Hiyoshi Kohoku-ku Yokohama 223-8522 Japan Current address: Institute of Computer Graphics and Algorithms TU Wien Favoritenstr. 9 / 5. Stock (5th floor) A-1040 Vienna Austria Department of Computer Science and Engineering Toyohashi University of Technology 1-1 Hibarigaoka Tempaku-cho Toyohashi 441-8580 Japan School of Computer Science and Engineering University of Aizu Aizu Wakamatsu Fukushima 965-8580 Japan Astrophysical Science Center Hiroshima University 1-3-1 Kagamiyama Higashi-Hiroshima 739-8526 Japan

Blazars are attractive objects for astronomers to observe in order to burrow into the magnetic field in the relativistic jet. This paper presents TimeTubes as a novel visualization scheme that allows astronomers to interactively explore characteristic temporal variation patterns in observed blazar datasets. In the TimeTubes spatialization, the two Stokes parameters and their errors with a common timestamp are transformed into an ellipse. A series of such ellipses are aligned in parallel along the timeline to form a 3D volumetric tube. The resulting tube is then colorized by the observed intensities and colors of the blazar, and finally volume-rendered. A designated user interface is provided with visual exploration functions according to Shneiderman's Visual Information Seeking Mantra. In the latest version, an auxiliary mechanism, called visual data fusion, was incorporated to ameliorate data- and mapping-inherent uncertainties for more efficient and effective visual exploration.

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Eye Movement based Emotion Recognition using Electrooculography

Eye Movement based Emotion Recognition using Electrooculogra...

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International Conference on Innovations in Power and Advanced Computing Technologies

作者： R.S. Soundariya R. Renuga Department of Computer Science and Engineering Coimbatore Institute of Technology Coimbatore Tamilnadu India Associate Professor Department of Computer Science and Engineering Coimbatore Institute of Technology Coimbatore Tamilnadu India

ISBN: (纸本)9781509056835

Emotions play a vibrant role in life as the human reaction or response to a system is purely based on the nature of his emotion, may it be the response to a computer system or to fellow mates. The need and significance of automatic emotion recognition have grown with the emergent role of human computer interface applications and the development of AI based companions or self-assistance system. The development of AI and machine learning systems has paved a brighter way for the optimistic yet accurate emotion recognizing systems. Emotion recognition can be done from any form of response from a person such as text, speech, facial expression or gesture. The proposed system introduces an emotion recognition system, based on human eye movement using electrooculography (EOG) signals. Based on EOG signals emotions are classified as happy, sad, angry, fear and pleasant. Multi-class Support Vector Machines is used for classifying the processed Electrooculography signals and for feature extraction ICA (Independent Component Analysis) is used. Using these techniques, human emotions are recognized and inputted in an augmented reality (AR) system where the humans can interact or respond to the system.

关键词： Emotion recognition Eye movement analysis Electrooculography

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Identifying Negative Interactions in Protein-Protein Interaction Network Using Weak Edge-edge Domination Set

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Procedia technology 2016年 24卷 1423-1430页

作者： Sminu Izudheen Sheena Mathew Assistant Professor Department of Computer Science & Engineering Rajagiri School of Engineering & Technology Kerala India Professor Division of Computer Engineering School of Engineering Cochin University of Science & Technology Kerala India

Link prediction has recently attracted the attention of many researchers as an effective technique to understand the associations between proteins. But most of the work in this area was concentrated on predicting existence of links in future. Very few works has explored the prediction of links that might disappear in future. Also, links predicted by these methods may contain high levels of wrong interactions. In this paper, we propose a method to optimize the negative link predicted in protein network through Weak Edge-Edge Domination (WEED) set. We have tested our model using different standard prediction methods and the results obtained assert that our method can be used as an effective method to reduce false positive rate of negative links predicted in protein network.

关键词： Link Prediction Protein Protein Interactions Domination Set Weak Edge Edge Domination Set.

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Interactive reconstructions of cranial 3D implants under MeVisLab as an alternative to commercial planning software

arXiv

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arXiv 2017年

作者： Egger, Jan Gall, Markus Tax, Alois Ücal, Muammer Zefferer, Ulrike Li, Xing von Campe, Gord Schäfer, Ute Schmalstieg, Dieter Chen, Xiaojun Institute for Computer Graphics and Vision Faculty of Computer Science and Biomedical Engineering Graz University of Technology Inffeldgasse 16 Graz Austria BioTechMed-Graz Krenngasse 37/1 Graz Austria Department of Neurosurgery Medical University of Graz Auenbruggerplatz 29 Graz Austria Institute of Biomedical Manufacturing and Life Quality Engineering School of Mechanical Engineering Shanghai Jiao Tong University China

In this publication, the interactive planning and reconstruction of cranial 3D Implants under the medical prototyping platform MeVisLab as alternative to commercial planning software is introduced. In doing so, a MeVisLab prototype consisting of a customized data-flow network and an own C++ module was set up. As a result, the computer-Aided Design (CAD) software prototype guides a user through the whole workflow to generate an implant. Therefore, the workflow begins with loading and mirroring the patients head for an initial curvature of the implant. Then, the user can perform an additional Laplacian smoothing, followed by a Delaunay triangulation. The result is an aesthetic looking and well-fitting 3D implant, which can be stored in a CAD file format, e.g. STereoLithography (STL), for 3D printing. The 3D printed implant can finally be used for an in-depth pre-surgical evaluation or even as a real implant for the patient. In a nutshell, our research and development shows that a customized MeVisLab software prototype can be used as an alternative to complex commercial planning software, which may also not be available in every clinic. Finally, not to conform ourselves directly to available commercial software and look for other options that might improve the workflow. Copyright © 2017, The Authors. All rights reserved.

关键词： Software prototyping

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A Cached Middleware to Improve I/O Performance Using POSIX Interface

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Procedia computer science 2016年 85卷 125-132页

作者： S. Ambareesh Jesna Fathima Associate Professor Department of Computer Science and Engineering Vemana Institute of Technology Bengaluru

The performance of computing devices is increasing day by day, the storage devices are not capable to reach with this benchmark. The compute and storage resources are forming two parts of the shared network. This paper is presenting a storage middleware called HyCache+ to reduce the high bi-section bandwidth of the parallel computing systems. The middleware uses Programmable Operating System (POSIX) interface to the end users to swap the data with the high capacity network attached storage. The system uses a 2-layer scheduling approach. The HyCache+ can be deployed on the IBM Blue Gene / P supercomputers for the performance comparison.

关键词： Middleware Parallel file system POSIX

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Key frame extraction based on motion vector 17th

Key frame extraction based on motion vector

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17th Pacific-Rim Conference on Multimedia, PCM 2016

作者： Qiang, Ziqian Xu, Qing Sun, Shihua Sbert, Mateu School of Computer Science and Technology Tianjin University Yaguan Road #135 Tianjin300350 China Graphics and Imaging Lab Universitat de Girona Campus Montilivi Girona17071 Spain

ISBN: (纸本)9783319488950

Video key frame extraction is a video summarization technique which is used to recapitulate and describe the most important segments of video sequence. Video clips containing motion information are more likely to draw users’ attention. Accordingly, we propose a novel key frame extraction scheme based on motion vector. A video sequence is partitioned into shots by distance between consecutive video frames calculated by Relative Entropy (RE). Difference of magnitude of motion vector between neighboring video images within a shot is computed to localize video clips containing significant content changes. And such segments are defined as active sub-shots in this paper. The key frames are extracted from each active sub-shots and other inactive sub-shots by exploiting different algorithms. Experimental results show that our proposed method obtains exact and complete results in video key frame extraction. © Springer International Publishing AG 2016.

关键词： Vectors

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RDEPS: A combined Reaction-Diffusion Equation and Photometric Similarity filter for optical image restoration 12th

RDEPS: A combined Reaction-Diffusion Equation and Photometri...

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12th International Symposium on Visual Computing, ISVC 2016

作者： Zhao, Xueqing Mavridis, Pavlos Schreck, Tobias Kuijper, Arjan School of Computer Science Xi’an Polytechnic University Xi’an710048 China Institute for Computer Graphics and Knowledge Visualization Graz University of Technology Graz8010 Austria Fraunhofer IGD Darmstadt64283 Germany Technische Universität Darmstadt Darmstadt64289 Germany

ISBN: (纸本)9783319508313

Restoration of optical images degraded by atmospheric turbulence and various types of noise is still an open problem. In this paper, we propose an optical image restoration method based on a Reaction- Diffusion Equation and Photometric Similarity (RDEPS). We exploit photometric similarity and geometric closeness of the optical image by combining a photometric similarity function and a appropriately defined reaction-diffusion equation. Our resulting RDEPS filter is used to restore images degraded by atmospheric turbulence and noise, including Gaussian noise and impulse noise. Extensive experimental results show that our method outperforms other recently developed methods in terms of PSNR and SSIM. Moreover, the computational efficiency analysis shows that our RDEPS provides efficient restoration of optical images. © Springer International Publishing AG 2016.

关键词： Image reconstruction

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