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International Conference on Technology and Innovation in Sports, Health and Wellbeing (TISHW)

作者： Manuel Stein Halldór Janetzko Andreas Lamprecht Daniel Seebacher Tobias Schreck Daniel Keim Michael Grossniklaus Department of Computer and Information Science University of Konstanz Institute for Computer Graphics and Knowledge Visualization Graz University of Technology

ISBN: (纸本)9781509057283

Sport analytics in general and soccer analytics in particular constitute quickly growing markets when it comes to professional analyses and visualizations. From a data analysis research perspective, soccer is a rich source of geospatial and temporal movement data, with high details and a controlled environment. However, soccer movement is complex as its compounds are actions and reactions of two opposing teams with inverse goals. Common analyses performed today are typically oriented towards statistical analysis and considering aggregate measurements. In this work, we propose a set of effective visual-interactive methods for investigating set plays as a first step towards semi-automated analysis of tactic behavior. In our analytic design, we follow the so-called Information-seeking Mantra by Ben Shneiderman by providing overview visualizations, interactive refinements, and detailed analysis views. We take an applied approach in showing case studies that give evidence for the applicability and merits of our proposed techniques.

关键词： Data visualization Visualization Technological innovation Games Data analysis Computational modeling Analytical models

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Development of a computer-aided design software for dental splint in orthognathic surgery

arXiv

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arXiv 2017年

作者： Chen, Xiaojun Li, Xing Xu, Lu Sun, Yi Politis, Constantinus 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 OMFS IMPATH Research Group Department of Imaging and Pathology Faculty of Medicine KU Leuven Leuven Belgium Department of Oral and Maxillofacial Surgery University Hospitals Leuven Leuven Belgium Faculty of Computer Science and Biomedical Engineering Institute for Computer Graphics and Vision Graz University of Technology Graz Austria BioTechMed-Graz Graz Austria

In the orthognathic surgery, dental splints are important and necessary to help the surgeon reposition the maxilla or mandible. However, the traditional methods of manual design of dental splints are difficult and time-consuming. The research on computer-aided design software for dental splints is rarely reported. Our purpose is to develop a novel special software named EasySplint to design the dental splints conveniently and efficiently. The design can be divided into two steps, which are the generation of initial splint base and the Boolean operation between it and the maxilla-mandibular model. The initial splint base is formed by ruled surfaces reconstructed using the manually picked points. Then, a method to accomplish Boolean operation based on the distance filed of two meshes is proposed. The interference elimination can be conducted on the basis of marching cubes algorithm and Boolean operation. The accuracy of the dental splint can be guaranteed since the original mesh is utilized to form the result surface. Using EasySplint, the dental splints can be designed in about 10 minutes and saved as a stereo lithography (STL) file for 3D printing in clinical applications. Three phantom experiments were conducted and the efficiency of our method was demonstrated. Copyright © 2017, The Authors. All rights reserved.

关键词： computer software

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Shrec'16 Track: Retrieval of Human Subjects from Depth Sensor Data 9

Shrec'16 Track: Retrieval of Human Subjects from Depth Senso...

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9th Eurographics Workshop on 3D Object Retrieval, 3DOR 2016

作者： Giachetti, A. Fornasa, F. Parezzan, F. Saletti, A. Zambaldo, L. Zanini, L. Achilles, F. Ichim, A.E. Tombari, F. Navab, N. Velasco-Forero, S. Department of Computer Science University of Verona Track Organizers Italy Computer Aided Medical Procedures Technische Universitat Munchen Germany Department of Neurology Ludwig-Maximilians-University of Munich Germany Graphics and Geometry Laboratory ÉCole Polytechnique Fédérale de Lausanne Switzerland University of Bologna Disi Italy Johns-Hopkins-University Computer Aided Medical Procedures United States Cmm / Mines-Paris Tech France

In this paper we report the results of the SHREC 2016 contest on "Retrieval of human subjects from depth sensor data". The proposed task was created in order to verify the possibility of retrieving models of query human subjects from single shots of depth sensors, using shape information only. Depth acquisition of different subjects were realized under different illumination conditions, using different clothes and in three different poses. The resulting point clouds of the partial body shape acquisitions were segmented and coupled with the skeleton provided by the OpenNI software and provided to the participants together with derived triangulated meshes. No color information was provided. Retrieval scores of the different methods proposed were estimated on the submitted dissimilarity matrices and the influence of the different acquisition conditions on the algorithms were also analyzed. Results obtained by the participants and by the baseline methods demonstrated that the proposed task is, as expected, quite difficult, especially due the partiality of the shape information and the poor accuracy of the estimated skeleton, but give useful insights on potential strategies that can be applied in similar retrieval procedures and derived practical applications. Eurographics Proceedingsc 2016 The Eurographics Association. © Eurographics 2016. All rights reserved.

关键词： Musculoskeletal system

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A Novel Reversible Ternary Embedding Algorithm Based on Modified Full Context Prediction Errors

A Novel Reversible Ternary Embedding Algorithm Based on Modi...

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2016 IEEE International Conference on Signal and Image Processing

作者： Li Li Chin-Chen Chang K.Bharanitharan Yanjun Liu Institute of Computer Graphics and Image Processing Hangzhou Dianzi University Department of Information Engineering and Computer Science Feng Chia University The Australian National University ACT

We propose a high capacity reversible ternary embedding-watermarking algorithm based on a modification of full-context-prediction-errors(MFCPE) wherein the binary bit stream is converted to the ternary stream then error histogram shifting is utilized to embed the ternary *** the existing predictor methods, we provide a full context prediction with a modification of each pixel at most by 1, which significantly reduces *** results confirm that the proposed algorithm achieves high PSNR while providing a higher embedding ***, results indicate that MFCPE outperforms the existing methods in terms of payload and the watermarked image quality.

关键词： reversible watermarking ternary embedding histogram shifting full context prediction

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Supporting student attainment and management of competencies in a trans-disciplinary degree program 123

Supporting student attainment and management of competencies...

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123rd ASEE Annual Conference and Exposition

作者： Van Epps, Amy S. Ashby, Iryna Gray, Colin M. Exter, Marisa Purdue University Department of Library Science and Engineering Librarian West Lafayette United States Purdue University Learning Design and Technology Program West Lafayette United States Purdue University Department of Computer Graphics Technology West Lafayette United States Department of Learning Design and Technology College of Education Purdue University West Lafayette United States

In Fall 2014, a large Midwestern land-grant research university piloted a competency-based model as the foundation for an undergraduate transdisciplinary program focusing on connecting engineering and technology with humanities and social sciences. Students enrolled in this program progress through a set of competencies that require them to master cross-disciplinary and cross-functional skills needed to be successful in a 21stcentury workplace. Now in its second year, the competency-based program has undergone significant changes that include a more substantial definition of competencies at each of the three levels of competence (developing, emerging, and proficient), scaffolding needed to support students on their path towards gaining competencies, and significant mentoring by faculty, TAs, and professional advisers to support competency attainment. In this paper, we will share challenges and discoveries made by the faculty throughout the first two years of the novel Competency-Based Education (CBE) experience, including a reflection on how such experiences impacted modifications of the CBE model from Year 1 to Year 2, the ways in which the program supported individual attainment and management of competencies by students, and the value of the mentorship program in supporting student-driven learning paths. We will also share insights into students' perceptions of the benefits, challenges, and frustrations of being part of this pilot program based on interview and survey data provided by the 33 members of the initial cohort. This overview of the ways this program supported students in attaining competencies through coursework, individual mentoring, and scaffolding may be instructive as institutions seek to bring CBE to scale and increase holistic student learning for the 21stcentury. © American Society for Engineering Education, 2016.

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Edge detection of flat electroencephalography image via classical and fuzzy approach 2nd

Edge detection of flat electroencephalography image via clas...

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2nd International Conference on Soft Computing in Data science, SCDS 2016

作者： Zenian, Suzelawati Ahmad, Tahir Idris, Amidora Department of Mathematical Sciences Faculty of Science Universiti Teknologi Malaysia UTM Johor Bahru81310 Malaysia Centre for Sustainable Nanomaterials Ibnu Sina Institute for Scientific and Industrial Research Universiti Teknologi Malaysia UTM Johor Bahru81310 Malaysia Department of Mathematics with Computer Graphics Faculty of Science and Natural Resources Universiti Malaysia Sabah UMS Jalan Kota KinabaluSabah88400 Malaysia

ISBN: (纸本)9789811027765

Edge detection is a crucial step in image processing in order to mark the point where the light intensity changed significantly. It is widely used to detect gray-scale and colour images in various fields such as medical image processing, machine vision system and remote sensing. The classical edge detectors such as Prewitt, Robert, and Sobel are quite sensitive towards noise and sometimes inaccurate. In this paper, the boundary of the epileptic foci of Flat EEG (fEEG) is determined by implementing some of the methods ranging from classical to fuzzy approach. There are two methods being applied for the fuzzy edge detector technique which are Minimum Constructor and Maximum Constructor methods;and Fuzzy Mathematical Morphology approach. © Springer Nature Singapore Pte Ltd. 2016.

关键词： Edge detection

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An effective mobile visual searching algorithm based on the bag-of-words method for furniture images

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Journal of Information Hiding and Multimedia Signal Processing 2016年第4期7卷 754-770页

作者： Li, Li Zheng, Dejie Lu, Jianfeng Mao, Xiaoyang Chang, Chin-Chen Institute of Graphics and Image Hangzhou Dianzi University HangzhouZhejiang310018 China University of Yamanash Japan Department of Information Engineering and Computer Science Feng Chia University Taichung40724 Taiwan

With the popularity of smart phones nowadays, image retrieval on mobile devices has been applied on a wider scale. To balance the efficiency and performance, an image retrieval algorithm which consists of two matching steps is proposed for furniture images captured by mobile devices (named mobile images). In the first stage, similar images are quickly obtained by the rough matching algorithm based on the bag-of-words (BOW) method. In the second stage, the most similar image is selected from the selection of similar images using the fine matching algorithm based on ORiented Brief (ORB).There are four main contributions in this paper. Firstly, add a spatial relationship to BOW features, an image is divided into three circular parts: the inner, middle and outer parts. Secondly, a feature point extraction method on concentric circles is proposed, which are resistant to geometric attack. Thirdly, the Gabor local line-based feature (GALIF) descriptor is improved by changing the filter object from the line to areas and overcome its weakness of low efficiency and rotation-sensitivity. Finally, a new image signature matching strategy is proposed based on Euclidean distance and a scale invariant feature to improve matching accuracy. Experimental results on a database with thousands of images show that our algorithm can retrieve mobile images quickly and precisely. © 2016.

关键词： Efficiency

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Learning-based dynamic reliability management for dark silicon processor considering EM effects

Learning-based dynamic reliability management for dark silic...

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Design, Automation and Test in Europe Conference and Exhibition

作者： Taeyoung Kim Xin Huang Hai-Bao Chen Valeriy Sukharev Sheldon X.-D. Tan Department of Computer Science and Engineering University of California Riverside CA USA Department of Electrical and Computer Engineering University of California Riverside CA USA Department of Micro Shanghai Jiao Tong University Shanghai China Mentor Graphics Corporation Fremont CA USA

ISBN: (纸本)9781467392280

In this article, we propose a new dynamic reliability management (DRM) technique for emerging dark silicon manycore processors. We formulate our DRM problem as minimizing the energy consumption subject to the reliability, performance and thermal constraints. The new approach is based on a newly proposed physics-based electromigration (EM) reliability model to predict the EM reliability of full-chip power grid networks. We consider thermal design power (TDP) as the power constraint for a dark silicon manycore processor. We employ both dynamic voltage and frequency scaling (DVFS) and dark silicon core using ON/OFF pulsing action as the two control knobs. To solve the problem, we apply the adaptive Q-learning based method, which is suitable for runtime operation as it can provide cost-effective yet good solutions. A large class of multithreaded applications is used as the benchmark to validate and compare the proposed dynamic reliability management methods. Experimental results on a 64-core dark silicon chip show that the proposed DRM algorithm can effectively reduce the energy consumption of a dark silicon manycore system when the system is not tightly constrained. The proposed method can outperform a simple global DVFS method significantly in this case.

关键词： Reliability Silicon Power system reliability Wires Power system dynamics Management Energy consumption

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Geometry representations with unsupervised feature learning

Geometry representations with unsupervised feature learning

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International Conference on Big Data and Smart Computing (BIGCOMP)

作者： Yeo-Jin Yoon Alexander Lelidis A. Cengiz Öztireli Jung-Min Hwang Markus Gross Soo-Mi Choi Department of Computer Science and Engineering Sejong University Seoul Republic of Korea TU Berlin Berlin Germany ETH Zürich Computer Graphics Laboratory Zürich Switzerland Sejong University Gwangjin-gu Seoul KR

Geometry data in massive amounts can be generated thanks to the modern capture devices and mature geometry modeling tools. It is essential to develop the tools to analyze and utilize this big data. In this paper, we present an exploration of analyzing geometries via learning local geometry features. After extracting local geometry patches, we parameterize each patch geometry by a radial basis function based interpolation. We use the resulting coefficients as discrete representations of the patches. These are then fed into feature learning algorithms to extract the dominant components explaining the overall patch database. This simple approach allows us to handle general representations such as point clouds or meshes with noise, outliers, and missing data. We present features learned on several patch databases to illustrate the utility of such an analysis for geometry processing applications.

关键词： Geometry Dictionaries Three-dimensional displays Atomic measurements Shape Feature extraction Image reconstruction

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A robust image copy detection method based on feature extraction algorithm

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Journal of Information Hiding and Multimedia Signal Processing 2016年第5期7卷 1136-1146页

作者： Lu, Jian Feng Xu, Xiao Yan Li, Li Chang, Chin-Chen Wang, Qiang Institute of Graphics and Image Hangzhou Dianzi University HangzhouZhejiang China Institute of Digital Media Hangzhou Dianzi University HangzhouZhejiang China Department of Information Engineering and Computer Science Feng Chia University Taichung Taiwan

Detecting copied versions of a query image is very important for copyright protection. This paper presents a robust copy detection method for images. The main contribution of our algorithm is to combine the image feature extraction and the saliency image segmentation methods, and a novel two steps approach is proposed for the image copy detection. Firstly, several salient regions in a query image are extracted based on salient region detection method and segmented into a series of partial images, with introduction of illumination variation to obtain a better saliency image. Secondly, surf key points in both partial images and images in database are extracted and the number of correctly matched key points is computed. Similarity value is computed to judge if two key points are correctly matched. Finally, if the number of correctly-matched key points is greater than the threshold value, the image from database is judged as a copy of the query image. The experimental results show that the proposed method can detect copyright information of query image even when the image is cropped, rotated, put in picture, water-colored, changed in contrast, blurred or inserted with words. © 2016, Ubiquitous International. All Rights Reserved.

关键词： Image segmentation

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