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5th International Conference on Bioimaging, BIOIMAGING 2018 - Part of 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018

作者： Kodym, Oldřich Španěl, Michal Department of Computer Graphics and Multimedia Brno University of Technology Bozetechova 2 Brno612 66 Czech Republic 3Dim Laboratory s.r.o. Kamenice 34 Brno625 00 Czech Republic

ISBN: (纸本)9789897582783

Human tissue segmentation is a critical step not only in the process of their visualization and diagnostics but also for pre-operative planning and custom implants engineering. Manual segmentation of three-dimensional data obtained through CT scanning is very time demanding task for clinical experts and therefore the automation of this process is required. Results of fully automatic approaches often lack the required precision in cases of non-standard treatment, which is often the case when computer planning is important, and thus semiautomatic approaches demanding a certain level of expert interaction are being designed. This work presents a semi-automatic method of 3D segmentation applicable to arbitrary tissue that takes several manually annotated slices as an input. These slices are used for training a random forest classifiers to predict the annotation for the remaining part of the CT scan and final segmentation is obtained using the graph-cut method. Precision of the proposed method is evaluated on various CT datasets using fully expert-annotated segmentations of these tissues. Dice coefficient of overlap is 0.976±0.014 for hard tissue segmentation and 0.978±0.008 for kidney segmentation, achieving competitive results with other task-specific methods. Copyright © 2018 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved

关键词： Tissue

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A Study on Performace of Levenberg-Marquardt and CMA-ES Optimization Methods for Atlas-based 2D/3D Reconstruction

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IFAC-PapersOnLine 2016年第25期49卷 121-126页

作者： Klima, Ondrej Chromy, Adam Zemcik, Pavel Spanel, Michal Kleparnik, Petr Department of Computer Graphics and Multimedia Brno University of Technology Boetchova 1/2 Brno612 66 Czech Republic Department of Control and Instrumentation Brno University of Technology Technická 3082/12 Brno616 00 Czech Republic 3Dim Laboratory s.r.o. Kamenice 34 Brno625 00 Czech Republic

In this study, we compare the performance of our previously proposed deformable 2D/3D registration approach based on the Levenberg-Marquardt optimization with methods exploiting Covariance Matrix Adaptation (CMA) and Covariance Matrix Self Adaptation (CMSA) evolution strategies. The aim of the registration is to reconstruct a patient-specifc 3D bone model from a small set of plain 2D X-ray images what is achieved by ftting a deformable bone atlas onto the X-ray images. The comparison of diferent optimization methods is focused on both the robustness and the speed. The results were obtained using a large-scale data set of synthetic X-ray images. We show that our method is several times faster in comparison with the approaches based on evolution strategies while the robustness of the reconstruction is preserved. To speed-up the reconstruction process, certain parts of the registration pipeline are accelerated using graphics hardware. The median error of our proposed method was 1.12mm and the median reconstruction time was 7.2s. The median time reached by the CMA-ES and CMSA-ES methods was 48.5 s and 138.5 s respectively. © 2016

关键词： Three dimensional computer graphics Bone Covariance matrix Deformation Evolutionary algorithms Optimization X ray analysis Covariance matrix adaptation Evolution strategies Intensity models Large scale data sets Levenberg Marquardt optimizations Levenberg Marquardt Reconstruction process Statistical shapes

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Modelling Gestural Know-how in Pottery Based on State-space Estimation and System Dynamic Simulation

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Procedia Manufacturing 2015年 3卷 3804-3811页

作者： Manitsaris, Sotiris Glushkova, Alina Katsouli, Eleni Manitsaris, Athanasios Volioti, Christina Centre for Robotics MINES ParisTech PSL Research University France Multimedia Technologies and Computer Graphics Laboratory Univeristy of Macedonia Greece

This paper presents a methodology for modelling expert gestural performances in wheel-throwing pottery. The approach is based on building an operational model that describes how expert gestures are performed, taking also into consideration relationships between different parts of the body. This model is estimated using state-space estimation methodology and its predictive performance is evaluated using system dynamic simulation. Moreover, the confidence bounds derived of the expert gesture performance in wheel-throw pottery are computed. They could be used as benchmarks in real-time experiments in order to generate the appropriate feedback for sensorimotor learning of gestures. © 2015 The Authors

关键词： Digital human modelling Gestures Human factors Machine learning

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Towards the Design of a Natural User Interface for Performing and Learning Musical Gestures

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Procedia Manufacturing 2015年 3卷 6329-6336页

作者： Hemery, Edgar Manitsaris, Sotiris Moutarde, Fabien Volioti, Christina Manitsaris, Athanasios Centre for Robotics MINES ParisTech PSL Research University France Multimedia Technologies and Computer Graphics Laboratory Univeristy of Macedonia Greece

A large variety of musical instruments, either acoustical or digital, are based on a keyboard scheme. Keyboard instruments can produce sounds through acoustic means but they are increasingly used to control digital sound synthesis processes with nowadays music. Interestingly, with all the different possibilities of sonic outcomes, the input remains a musical gesture. In this paper we present the conceptualization of a Natural User Interface (NUI), named the Intangible Musical Instrument (IMI), aiming to support both learning of expert musical gestures and performing music as a unified user experience. The IMI is designed to recognize metaphors of pianistic gestures, focusing on subtle uses of fingers and upper-body. Based on a typology of musical gestures, a gesture vocabulary has been created, hierarchized from basic to complex. These piano-like gestures are finally recognized and transformed into sounds. © 2015

关键词： Ergonomics Gesture recognition Human factors Interactive design Musical interface Natural user interface User experience

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A hybrid content-learning management system for education and access to intangible cultural heritage 7

A hybrid content-learning management system for education an...

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7th International Conference on computer Supported Education, CSEDU 2015

作者： Glushkova, A. Katsouli, E. Kourvoulis, G. Manitsaris, A. Volioti, C. Laboratory of Multimedia and Computer Graphics Department of Applied Informatics University of Macedonia Egnatia Str.156 Thessaloniki Greece

ISBN: (纸本)9789897581076

This paper presents an open and extendable platform that provides access to ICH resources, enables knowledge exchange between researchers and contributes to the transmission of rare know-how from their holders to the next generations. The platform is a hybrid Content-Learning Management system that permits the creation of new content of cultural heritage. It supports different user profiles for access, learning and analysis of the ICH, such as experts, learners, researchers as well as the large public. It is also supports the outcomes of sensorimotor learning functionalities of a game-based learning module. The platform integrates different modules based on multi-sensory technologies into an operating open-source content management system, which is enriched with a significant number of functionalities.

关键词： Knowledge management

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Music Gestural Skills Development Engaging Teachers, Learners and Expert Performers

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Procedia Manufacturing 2015年 3卷 1543-1550页

作者： Volioti, Christina Hemery, Edgar Manitsaris, Sotiris Teskouropoulou, Vicky Yilmaz, Erdal Moutarde, Fabien Manitsaris, Athanasios Multimedia Technologies and Computer Graphics Laboratory Univeristy of Macedonia Greece Centre for Robotics MINES ParisTech PSL Research University France Argedor Information Technologies Turkey

This article presents a platform for learning theoretical knowledge and practical motor skills of musical gestures by combining functionalities of Learning Management Systems (LMS) and Serious Gaming (SG). The teacher designs his/her educational scenario that can be articulated by both theoretical and practical activities. The learner accesses online multimedia courses by using his/her LMS client which can be a computer, tablet or smartphone and the serious game by using his/her computer and the motion capture sensors. During practicing, his/her gestures are compared in real-time with the expert gestures and s/he is evaluated both in terms of correct fingerings and kinematics. Finally, the platform offers a single profile for the learner for theoretical and practical activities. © 2015 The Authors

关键词： Gamification Learning Musical gestures Skills development Teaching

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Animating turbulent water by vortex shedding in PIC/FLIP

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Science China(Information Sciences) 2013年第3期56卷 16-26页

作者： ZHU Jian LIU YouQuan CHANG YuanZhang WU EnHua Computer Graphics and Multimedia Laboratory(NG04) Faculty of Science and TechnologyUniversity of Macau School of Information Engineering Chang'an University State Key Laboratory of Computer Science Institute of SoftwareChinese Academy of Sciences

In this paper,we present a hybrid method,which integrates PIC/FLIP and vortex particle methods into a unified framework,to efficiently simulate vortex shedding that happens when fluids flow around internal *** improve efficiency and reduce the numerical dissipations,we first solve the governing equations on a coarse grid using PIC/FLIP,and then interpolate the intermediate results to a finer grid to obtain the base *** the regular particles in PIC/FLIP enter the boundary layer,if the specified conditions are satisfied to cause vortex shedding,they are selected as vortex particles by assigning additional vorticity related *** vortex particle dynamics are controlled by the vorticity form of NS equations,and several efficient methods are proposed to solve them on the finer ***,the obtained turbulence flow is added to the base *** a result,we are able to simulate turbulent water with rich wake details around the internal obstacles.

关键词： physically based fluid simulation turbulence vortex shedding vortex particle PIC/FLIP

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Comparison of appearance-based and geometry-based bubble detectors

Lecture Notes in Computer Science (including subseries Lectu...

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Lecture Notes in computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2014年 8671卷 610-617页

作者： Strokina, Nataliya Juránek, Roman Eerola, Tuomas Lensu, Lasse Zemčik, Pavel Kälviäinen, Heikki Tampere University of Technology Department of Signal Processing P.O. Box 527 Tampere33101 Finland Brno University of Technology Department of Computer Graphics and Multimedia Brno Czech Republic Lappeenranta University of Technology Machine Vision and Pattern Recognition Laboratory P.O. Box 20 Lappeenranta53851 Finland

Bubble detection is a complicated tasks since varying lighting conditions changes considerably the appearance of bubbles in liquid. The two common techniques to detect circular objects such as bubbles, the geometry-based and appearance-based approaches, have their advantages and weaknesses. The geometry-based methods often fail to detect small blob-like bubbles that do not match the used geometrical model, and appearance-based approaches are vulnerable to appearance changes caused by, e.g., illumination. In this paper, we compare a geometry-based concentric circular arrangements (CCA) and appearance-based sliding window methods as well as their combinations in terms of bubble detection, gas volume computation, and size distribution estimation. The best bubble detection performance was achieved with the sliding window method whereas the most precise volume estimate was produced by the CCA method. The combination of the two approaches gave only a minor advantage compared to the base methods. © Springer International Publishing Switzerland 2014.

关键词： Geometry

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Computational Video - Seminar 10411

Computational Video - Seminar 10411

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Computational Video 2010

作者： Magnor, Marcus Cremers, Daniel Zelnik-Manor, Lihi Computer Graphics Lab Technical University of Braunschweig Germany Department of Computer Science Technical University of Munich Germany Laboratory of Computer Graphics & Multimedia Technion Israel Israel

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RANSAC-based Training Data Selection for speaker state recognition

RANSAC-based Training Data Selection for speaker state recog...

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12th Annual Conference of the International Speech Communication Association, INTERSPEECH 2011

作者： Bozkurt, Elif Erzin, Engin Erdem, Çiǧdem Eroǧlu Erdem, A.Tanju Multimedia Vision and Graphics Laboratory Koç University Istanbul Turkey Department of Electrical and Electronics Engineering Bahçeşehir University Istanbul Turkey Department of Electrical and Computer Engineering Özyeǧin University Istanbul Turkey

We present a Random Sampling Consensus (RANSAC) based training approach for the problem of speaker state recognition from spontaneous speech. Our system is trained and tested with the INTERSPEECH 2011 Speaker State Challenge corpora that includes the Intoxication and the Sleepiness Sub-challenges, where each sub-challenge defines a two-class classification task. We aim to perform a RANSAC-based training data selection coupled with the Support Vector Machine (SVM) based classification to prune possible outliers, which exist in the training data. Our experimental evaluations indicate that utilization of RANSAC-based training data selection provides 66.32 % and 65.38 % unweighted average (UA) recall rate on the development and test sets for the Sleepiness Sub-challenge, respectively and a slight improvement on the Intoxication Sub-challenge performance. Copyright © 2011 ISCA.

关键词： Support vector machines

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