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作者： Rauskolb, Fred W. Berger, Kai Lipski, Christian Magnor, Marcus Cornelsen, Karsten Effertz, Jan Form, Thomas Graefe, Fabian Ohl, Sebastian Schumacher, Walter Wille, Jörn-Marten Hecker, Peter Nothdurft, Tobias Doering, Michael Homeier, Kai Morgenroth, Johannes Wolf, Lars Basarke, Christian Berger, Christian Gülke, Tim Klose, Felix Rumpe, Bernhard Herzfeld and Rubin P.C. 40 Wall Street New York NY 10005 United States Institute of Computer Graphics Mühlenpfordtstraße 23 38106 Braunschweig Germany Institute of Control Engineering Hans-Sommer-Straße 66 38106 Braunschweig Germany Institute of Flight Guidance Hermann-Blenk-Straße 27 38108 Braunschweig Germany Institute of Operating Systems and Computer Networks Mühlenpfordtstraße 23 38106 Braunschweig Germany Institute of Software Systems Engineering Mühlenpfordtstraße 23 38106 Braunschweig Germany

ISBN: (纸本)9783642039904

The 2007 DARPA Urban Challenge afforded the golden opportunity for the Technische Universität Braunschweig to demonstrate its abilities to develop an autonomously driving vehicle to compete with the world's best competitors. After several stages of qualification, our team CarOLO qualified early for the DARPA Urban Challenge Final Event and was among only eleven teams from initially 89 competitors to compete in the final. We had the ability to work together in a large group of experts, each contributing his expertise in his discipline, and significant organisational, financial and technical support by local sponsors who helped us to become the best non-US team. In this report, we describe the 2007 DARPA Urban Challenge, our contribution "Caroline", the technology and algorithms along with her performance in the DARPA Urban Challenge Final Event on November 3, 2007. © 2009 Springer-Verlag Berlin Heidelberg.

关键词： computers

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Freehand 3D Ultrasound Reconstruction for Image-Guided surgery

Freehand 3D Ultrasound Reconstruction for Image-Guided surge...

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2011 International Symposium on Bioelectronics and Bioinformatics(第二届国际生物医学电子学与生物信息学学术会议 ISBB 2011)

作者： WenJian Qin Lei Wang Jia Gu Tao Qiu Tiexiang Wen Institute of Biomedical and Health Engineering Shenzhen Institute of Advanced Technology (SIAT) Chi SIAT. His research interests are medical image processing and computer graphics

Three-dimensional (3D) ultrasound (US) is increasingly being introduced in the clinic, both for diagnostics and image guidance. Obtaining 3D volumes with 2D US probes is a two-step process. First, a positioning sensor must be attached to the probe;second, a reconstruction of a 3D volume can be performed into a regular voxel grid. Various algorithms have been used for performing 3D reconstruction based on 2D images. In this paper, we propose a new Hole-filling algorithm using Distance Weight interpolation, and we also apply it to generate the volume in our Image-guided for surgical robot. First, the ultrasound frames and position information are compounded into a 3D volume using the Bin-filling method. Then, the Hole-filling method is used to repair gaps in the volume. We define the empty voxels by sorting the neighboring voxels into three parts, and averaging them to obtain the value to fill the empty voxels according to distance weighted. The empty voxel estimation can be improved by thresholding the range width of its neighboring voxels and adjusting it to the average values. The method is tested on a Hole-manipulated volume derived from a cropped 3D ultrasound volume of chicken kidney. Our method shows improved result compared to several tested existing methods, including voxel nearest neighbour(VNN) and spline function interpolation.

关键词： Three dimensional displays Ultrasonic imaging Image reconstruction Interpolation Probes Kidney Imaging

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Fitting 3D garment models onto individual human models

Fitting 3D garment models onto individual human models

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作者： Li, Jituo Ye, Juntao Wang, Yangsheng Bai, Li Lu, Guodong Digital Interactive Media Lab Institute of Automation Chinese Academy of Sciences No. 95 Zhongguancuan East Road Beijing 100190 China Engineering Research Center of Digitized Textile and Fashion Technology Ministry of Education Donghua University Shanghai 201620 China Institute of Engineering and Computer Graphics Mechanical Department of Zhejiang University Zhejiang University Yuquan Campus No. 38 Zheda Road Hangzhou 310027 China School of Computer Science University of Nottingham Nottingham United Kingdom

Designing an elegant 3D virtual garment model for a 3D virtual human model is labor-intensive, because most existing garment models are custom-made for a specific human model and cannot be easily reused for other individuals. In this paper, we propose a novel method for fitting a given 3D garment model onto human models of various body shapes and poses. The fitting is accomplished by deforming the garment mesh to match the shapes of the human models by using a combination of the following: skeleton-driven volumetric deformation, garmenthuman shape similarity matching and evaluation, the constraints of garmenthuman contact, and garmenthuman ease allowance. Experiments show that our approach performs very well and has the potential to be used in the garment design industry. © 2010 Elsevier Ltd.

关键词： Musculoskeletal system

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INCREASING THE FEATURE SIZE IN HANDWRITTEN NUMERAL RECOGNITION TO IMPROVE ACCURACY

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SYSTEMS AND computerS IN JAPAN 1995年第8期26卷 35-44页

作者： WAKABAYASHI, T TSURUOKA, S KIMURA, F MIYAKE, Y Member Faculty of Engineering Mie University Tsu Japan 514 Furnitaka Kimura:received his B.E. and Ph.D. degrees in 1973 and 1978 respectively from Nagoya University where he was appointed a Research Associate the same year. He has been an Associate Professor at Mie University since 1983. He had been a Visiting Associate Professor at the University of Michigan Dearborn from 1989 to 1991. He has engaged in research on pattern recognition image processing computer graphics. He is a member of Institute of Information Processing Japan Institute of Medical Engineering Japan and Institute of Artificial Intelligence Japan. Members Yasuji Miyab:received his B.E. and Ph.D. degrees in 1957 and 1965 respectively from Nagoya University where he was appointed a Research Associate in 1965. He was appointed to a Lecturer in 1968 and an Associate Professor in 1969. He has been a Professor at Mie University since 1978. He has engaged in research on machine recognition of handwritten characters computer graphics and medical image processing. He is a member of Institute of Information Processing Japan Institute of Artificial Intelligence Japan Institute of Robotics Japan I.E.E.E. Japan and Institute of Simulation Japan.

The relationship between the recognition rate of handwritten numerals and the normality of the distribution of their features has been investigated experimentally with a large amount of data in various combinations of quantized orientations and regions. The recognition method is based on the histogram of local orientation of contours of each numeral. To obtain a more accurate orientation quantization, the effectiveness of the orientation quantization using the gray-scale gradient has also been investigated. The results show that: (1) to increase the dimensionality of features, it is better to increase the number of quantized orientations, keeping the number of regions small (e.g., 4 x 4 or 5 x 5);(2) in the same dimensionality, the better the normality of a feature distribution, the higher the recognition rate;(3) a quantization of orientations using gray scales is effective for normalizing a feature distribution;and (4) the filter processing in reduction of the number of quantization scales improves the normality and recognition rate. The recognition of handwritten numerals collected from actual posts were carried out by using the gray-scale local-orientation histogram (400 dimensions). A correct recognition rate of 99.18 percent (mean value) has been obtained.

关键词： CHARACTER RECOGNITION PATTERN RECOGNITION ZIP CODE RECOGNITION FEATURE EXTRACTION GRADIENT NORMALITY

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NTU place4dr: A Detailed-Routing-Driven Placer for Mixed-Size Circuit Designs with Technology and Region Constraints

NTU place4dr: A Detailed-Routing-Driven Placer for Mixed-Siz...

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作者： Huang, Chau-Chin Lee, Hsin-Ying Lin, Bo-Qiao Yang, Sheng-Wei Chang, Chin-Hao Chen, Szu-To Chang, Yao-Wen Chen, Tung-Chieh Bustany, Ismail Department of Electrical Engineering Graduate Institute of Electronics Engineering National Taiwan University Taipei106 Taiwan Department of Computer Science and Information Engineering National Taiwan University Taipei106 Taiwan Maxeda Technologies Inc. Hsinchu300 Taiwan Place and Route Division Mentor Graphics FremontCA94538 United States

A placer without considering modern technology and region constraints could generate solutions with irresolvable detailed-routing (DR) violations or even illegal solutions. This paper presents a high-quality placement algorithm to satisfy technology and region constraints and optimize DR routability with five major techniques: 1) a clustering algorithm followed by two-round quadratic placement to obtain an initial placement satisfying region constraints;2) a novel density control technique to handle prefixed architectures and minimize global routing congestions;3) an analytical placement algorithm with new wirelength and density models to consider region constraints;4) a dynamic penalty increment strategy that reduces wirelength increments during global placement;and 5) a legalization algorithm that preserves the solution quality of global placement while satisfying technology and region constraints. Compared with the winning teams of the ISPD 2015 Blockage-Aware Detailed Routing-Driven Placement Contest and recent works, our placer achieves the best overall score and DR results. © 2017 IEEE.

关键词： Clustering algorithms

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A comparision of Model-based methods for knee cartilage segmentation

A comparision of Model-based methods for knee cartilage segm...

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2nd International Conference on computer Vision Theory and Applications, VISAPP 2007

作者： Cheong, J. Faggian, N. Langs, G. Suter, D. Cicuttini, F. Dept. of Electrical Dept. of Computer Systems Engineering Monash University Australia Clayton School of Information Technology Monash University Australia Institute for Computer Graphics and Vision Graz University of Technology Austria Pattern Recognition and Image Processing Group Vienna University of Technology Austria Dept. of Epidemiology Dept. of Preventive Medicine Monash University Australia

Osteoarthritis is a chronic and crippling disease affecting an increasing number of people each year. With no known cure, it is expected to reach epidemic proportions in the near future. Accurate segmentation of knee cartilage from magnetic resonance imaging (MRI) scans facilitates the measurement of cartilage volume present in a patient's knee, thus enabling medical clinicians to detect the onset of osteoarthritis and also crucially, to study its effects. This paper compares four model-based segmentation methods popular for medical data segmentation, namely Active Shape Models (ASM) (Cootes et al., 1995), Active Appearance Models (AAM) (Cootes et al., 2001), Patch-based Active Appearance Models (PAAM) (Faggian et al., 2006), and Active Feature Models (AFM) (Langs et al., 2006). A comprehensive analysis of how accurately these methods segment human tibial cartilage is presented. The results obtained were benchmarked against the current "gold standard" (cartilage segmented manually by trained clinicians) and indicate that modeling local texture features around each landmark provides the best results for segmenting human tibial cartilage.

关键词： Medical imaging

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Improving efficiency energy systems-photovoltaic modules and solar collectors in construction 3

Improving efficiency energy systems-photovoltaic modules and...

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3rd IEEE KhPI Week on Advanced Technology, KhPI Week 2022

作者： Martynov, Viacheslav Ploskyi, Vitalii Sergeychuk, Oleg Virchenko, Gennadii Usenko, Valery Tereschuk, Mykola Kyiv National University of Construction and Architecture Department of Architectural Constructions Kyiv03037 Ukraine National Technical University of Ukraine «igor Sikorsky Kyiv Polytechnic Institute» Department of Descriptive Geometry Engineering and Computer Graphics Kyiv03056 Ukraine National University «yuri Kondratyuk Poltava Polytechnic» Department of Construction and Civil Engineering Poltava36040 Ukraine

ISBN: (数字)9798350399202

ISBN: (纸本)9798350399202

A method is proposed for increasing the efficiency of using energy systems (photovoltaic modules, solar collectors) due to the optimal location on the building envelope. A mathematical and graphical model has been developed, the Gelioopt program has been developed to determine the optimal orientation and area parameters for photovoltaic modules. A method is proposed for a quick graphical determination of the amount of converted solar energy by photovoltaic modules, and solar collectors, depending on the spatial orientation of solar receivers using building drawings. The proposed developments make it possible to simplify the calculation procedure and increase the determining of optimal parameters speed for solar receivers and is a proposed new type of geometric models. © 2022 IEEE.

关键词： Solar power generation

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Interactive visual labelling versus active learning:an experimental comparison

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Frontiers of Information Technology & Electronic engineering 2020年第4期21卷 524-535页

作者： Mohammad CHEGINI Jurgen BERNARD Jian CUI Fatemeh CHEGINI Alexei SOURIN Keith ANDREWS Tobias SCHRECK Institute of Computer Graphics and Knowledge Visualisation Graz University of TechnologyGraz 8010Austria School of Computer Science and Engineering Nanyang Technological UniversitySingapore 639798Singapore InfoVis Group University of British ColumbiaVancouver V6T1Z4Canada Max Planck Institute for Meteorology Hamburg 20146Germany Institute of Interactive Systems and Data Science Graz University of TechnologyGraz 8010Austria

Methods from supervised machine learning allow the classification of new data automatically and are tremendously helpful for data *** quality of supervised maching learning depends not only on the type of algorithm used,but also on the quality of the labelled dataset used to train the *** instances in a training dataset is often done manually relying on selections and annotations by expert analysts,and is often a tedious and time-consuming *** learning algorithms can automatically determine a subset of data instances for which labels would provide useful input to the learning *** visual labelling techniques are a promising alternative,providing effective visual overviews from which an analyst can simultaneously explore data records and select items to a *** putting the analyst in the loop,higher accuracy can be achieved in the resulting *** initial results of interactive visual labelling techniques are promising in the sense that user labelling can improve supervised learning,many aspects of these techniques are still largely *** paper presents a study conducted using the mVis tool to compare three interactive visualisations,similarity map,scatterplot matrix(SPLOM),and parallel coordinates,with each other and with active learning for the purpose of labelling a multivariate *** results show that all three interactive visual labelling techniques surpass active learning algorithms in terms of classifier accuracy,and that users subjectively prefer the similarity map over SPLOM and parallel coordinates for *** also employ different labelling strategies depending on the visualisation used.

关键词： Interactive visual labelling Active learning Visual analytics

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Image-based 3D face modeling system

Image-based 3D face modeling system

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作者： Park, In Kyu Zhang, Hui Vezhnevets, Vladimir School of Information and Communication Engineering Inha University 253 Younghyun-dong Nam-gu Incheon 402-751 Korea Republic of Computing Lab Samsung Advanced Institute of Technology San 14-1 Nongseo-ri Giheung-eup Yongin 449-712 Korea Republic of Graphics and Media Lab Department of Computational Mathematics and Cybernetics Moscow State University Moscow 119899 Russia School of Information and Communication Engineering Inha University Korea Republic of IEEE IEEE Computer Society ACM Samsung Advanced Institute of Technology Yongin Korea Republic of Graphics and Media Lab Computer Science Department Moscow State University

This paper describes an automatic system for 3D face modeling using frontal and profile images taken by an ordinary digital camera. The system consists of four subsystems including frontal feature detection, profile feature detection, shape deformation, and texture generation modules. The frontal and profile feature detection modules automatically extract the facial parts such as the eye, nose, mouth, and ear. The shape deformation module utilizes the detected features to deform the generic head mesh model such that the deformed model coincides with the detected features. A texture is created by combining the facial textures augmented from the input images and the synthesized texture and mapped onto the deformed generic head model. This paper provides a practical system for 3D face modeling, which is highly automated by aggregating, customizing, and optimizing a bunch of individual computer vision algorithms. The experimental results show a highly automated process of modeling, which is sufficiently robust to various imaging conditions. The whole model creation including all the optional manual corrections takes only 2-3 minutes. © 2005 Hindawi Publishing Corporation.

关键词： computer simulation

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Parallel programming with CAPSE-a case study

Parallel programming with CAPSE-a case study

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Euromicro Workshop on Parallel and Distributed Processing

作者： B. Gruber G. Haring D. Kranzlmuller J. Volkert Institute of Applied Computer Science and Information Systems Department of Advanced Computer Engineering University of Technology Vienna Vienna Austria Institute of Computer Science Department for Graphics and Parallel Processing Johannes Kepler University Linz Linz Austria

The CAPSE environment for computer Aided Parallel Software engineering is intended to assist the developer in the crucial task of parallel programming. The methodology of CAPSE is based on direct manipulative graphical creation and editing of scalable workload characterizations of MIMD algorithms. This paper presents the basic concepts of this methodology and an example of a parallel Poisson solver. The workload characterization representing the computation and communication behavior of the algorithm is based on directed acyclic task graphs, which achieve scalability by composing the task graph of scalable basic patterns instead of single node and arcs. The composition and the usage of these basic patterns is described in the light of designing the Poisson solver algorithm. The resulting task graph is used to predict the program's performance on a nCUBE 2 distributed memory machine and the PAPS simulator.

关键词： Parallel programming computer aided software engineering Concurrent computing computer science Information systems Scalability Distributed computing computer graphics Parallel processing Algorithm design and analysis

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