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23rd International Conference on Computational Science and Its Applications, ICCSA 2023

作者： Simon, Marion D. Asche, Hartmut Faculty of Science University of Potsdam Karl-Liebknecht-Street 24-25 Potsdam14476 Germany Computer Graphics System Group Hasso Plattner Institute University of Potsdam Prof.-Dr.-Helmert-Street 2-3 Potsdam14482 Germany

ISBN: (纸本)9783031371134

The added value of map representations of statistical mass data is now highly appreciated in big business. Most statistical maps are produced by non-experts using to GIS technologies or mapping functions embedded in statistical programmes. However, the range of semi-automated tools offered does not exploit the full potential of cartographic visualisation. Most map representations of statistical data colour administrative units resulting in area cartograms or choropleth maps. Visualisation of these area-related data need to focus on correct representation of the area rather than on the topographic elaboration boundary polygons. Hence the simplification or generalisation of the polygon lines becomes important for visual communication and perception. Up to date, no generally accepted rules exist for the generalisation of the polygon lines of area cartograms in which presentation scales. This paper deals with solution approaches in line generalisation using square grids. As well as an answer to the question, if square grids could be an option for fully automated map generalization in small scaled statistical maps. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Maps

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Efficient MedSAMs: Segment Anything in Medical Images on Laptop

arXiv

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arXiv 2024年

作者： Ma, Jun Li, Feifei Kim, Sumin Asakereh, Reza Le, Bao-Hiep Nguyen-Vu, Dang-Khoa Pfefferle, Alexander Wei, Muxin Gao, Ruochen Lyu, Donghang Yang, Songxiao Purucker, Lennart Marinov, Zdravko Staring, Marius Lu, Haisheng Dao, Thuy Thanh Ye, Xincheng Li, Zhi Brugnara, Gianluca Vollmuth, Philipp Foltyn-Dumitru, Martha Cho, Jaeyoung Mahmutoglu, Mustafa Ahmed Bendszus, Martin Pflüger, Irada Rastogi, Aditya Ni, Dong Yang, Xin Zhou, Guang-Quan Wang, Kaini Heller, Nicholas Papanikolopoulos, Nikolaos Weight, Christopher Tong, Yubing Udupa, Jayaram K. Patrick, Cahill J. Wang, Yaqi Zhang, Yifan Contijoch, Francisco McVeigh, Elliot Ye, Xin He, Shucheng Haase, Robert Pinetz, Thomas Radbruch, Alexander Krause, Inga Kobler, Erich He, Jian Tang, Yucheng Yang, Haichun Huo, Yuankai Luo, Gongning Kushibar, Kaisar Amankulov, Jandos Toleshbayev, Dias Mukhamejan, Amangeldi Egger, Jan Pepe, Antonio Gsaxner, Christina Luijten, Gijs Fujita, Shohei Kikuchi, Tomohiro Wiestler, Benedikt Kirschke, Jan S. de la Rosa, Ezequiel Bolelli, Federico Lumetti, Luca Grana, Costantino Xie, Kunpeng Wu, Guomin Puladi, Behrus Martín-Isla, Carlos Lekadir, Karim Campello, Victor M. Shao, Wei Brisbane, Wayne Jiang, Hongxu Wei, Hao Yuan, Wu Li, Shuangle Zhou, Yuyin Wang, Bo AI Collaborative Centre University Health Network Department of Laboratory Medicine and Pathobiology University of Toronto Vector Institute Toronto Canada Peter Munk Cardiac Centre University Health Network Toronto Canada Toronto General Hospital Research Institute University Health Network Department of Computer Science University of Toronto University Health Network Vector Institute Toronto Canada University of Science Vietnam National University Ho Chi Minh City Viet Nam Institute of Computer Science University of Freiburg Freiburg Germany School of Medicine and Health Harbin Institute of Technology Harbin China Division of Image Processing Department of Radiology Leiden University Medical Center Leiden Netherlands Department of System and Control Engineering School of Engineering Institute of Science Tokyo Formerly Tokyo Institute of Technology Tokyo Japan Institute for Anthropomatics and Robotics Karlsruhe Institute of Technology Karlsruhe Germany School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu China School of Electrical Engineering and Computer Science University of Queensland Brisbane Australia School of Cyberspace Hangzhou Dianzi University Hangzhou China Division for Computational Radiology and Clinical AI The Department of Neuroradiology University Hospital Bonn Germany Division for Computational Radiology and Clinical AI The Department of Neuroradiology University Hospital Bonn Germany Department of Neuroradiology Heidelberg University Hospital Heidelberg Germany Division for Computational Radiology and Clinical AI Department of Neuroradiology University Hospital Bonn Germany School of Biomedical Engineering Shenzhen University Shenzhen China School of Biological Science and Medical Engineering Southeast University Nanjing China Department of Urology Cleveland Clinic Cleveland United States Department of Computer Science University of Minnesota Minneapolis United St

Promptable segmentation foundation models have emerged as a transformative approach to addressing the diverse needs in medical images, but most existing models require expensive computing, posing a big barrier to their adoption in clinical practice. In this work, we organized the first international competition dedicated to promptable medical image segmentation, featuring a large-scale dataset spanning nine common imaging modalities from over 20 different institutions. The top teams developed lightweight segmentation foundation models and implemented an efficient inference pipeline that substantially reduced computational requirements while maintaining state-of-the-art segmentation accuracy. Moreover, the post-challenge phase advanced the algorithms through the design of performance booster and reproducibility tasks, resulting in improved algorithms and validated reproducibility of the winning solution. Furthermore, the best-performing algorithms have been incorporated into the open-source software with a user-friendly interface to facilitate clinical adoption. The data and code are publicly available to foster the further development of medical image segmentation foundation models and pave the way for impactful real-world applications. © 2024, CC BY-NC-SA.

关键词： Open source software

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Case study on requirements engineering in information mining project: Metallurgical enterprise 1

Case study on requirements engineering in information mining...

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Joint 1st International Workshop on Knowledge Requirements: Acquisition and Representation, KRAR 2016 and the 1st Regional Consortium for Computing Sciences and Foundation, RCCS 2016

作者： Pollo-Cattaneo, M.F. Pesado, P. Britos, P. García-Martínez, R. PhD Program on Computer Science Computer Science School National University of La Plata Information System Methodologies Research Group Technological National University Buenos Aires Argentina School of Computer Science National University of La Plata Buenos Aires Argentina Information Mining Research Group National. Lab. ID + I in Visualization Computer Graphics and Creative Code University of Rio Negro at El Bolsón Río Negro Argentina Information Systems Research Group National University of Lanus Buenos Aires Argentina

There can be no debate that Information Mining Projects cause processing tools to arise with the sole purpose of converting available organization data into useful knowledge on account of decision-making. Considering the aforementioned, this type of projects demands due diligence in the requirement specification process, as the latter needs to be thorough and traceable throughout the entire project, and therefore, process associated with requirements engineering are not to be reused in any future projects among the like. Similarly, latest methodologies within the field of Information Mining fail to take practices associated to stakeholders and costumers' requirements management into account. With this aim in mind, a solution model to the Information Mining Project Management necessities is proposed. © 2016, CEUR-WS. All rights reserved.

关键词： Requirements engineering

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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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Vision-based Unmanned Aerial Vehicle detection and tracking for sense and avoid systems

Vision-based Unmanned Aerial Vehicle detection and tracking ...

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IEEE/RSJ International Conference on Intelligent Robots and systems

作者： Krishna Raj Sapkota Steven Roelofsen Artem Rozantsev Vincent Lepetit Denis Gillet Pascal Fua Alcherio Martinoli Computer Vision Laboratory School of Communication and Computer Sciences école Polytechnique Fédérale de Lausanne (EPFL) Switzerland Distributed Intelligent Systems and Algorithms Laboratory School of Architecture Civil and Environmental Engineering EPFL Switzerland Institute for Computer Graphics and Vision TU Graz Austria Coordination and Interaction System Group School of Engineering EPFL Switzerland

ISBN: (纸本)9781509037636

We propose an approach for on-line detection of small Unmanned Aerial Vehicles (UAVs) and estimation of their relative positions and velocities in the 3D environment from a single moving camera in the context of sense and avoid systems. This problem is challenging both from a detection point of view, as there are no markers on the targets available, and from a tracking perspective, due to misdetection and false positives. Furthermore, the methods need to be computationally light, despite the complexity of computer vision algorithms, to be used on UAVs with limited payload. To address these issues we propose a multi-staged framework that incorporates fast object detection using an AdaBoost-based approach, coupled with an on-line visual-based tracking algorithm and a recent sensor fusion and state estimation method. Our framework allows for achieving real-time performance with accurate object detection and tracking without any need of markers and customized, high-performing hardware resources.

关键词： Target tracking Object detection Collision avoidance Cameras Visualization Detectors

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Interactive projective texturing for non-photorealistic shading of technical 3D models 11

Interactive projective texturing for non-photorealistic shad...

引用

2013 11th EG UK Theory and Practice of computer graphics Conference, TPCG 2013

作者： Lux, Roland Trapp, Matthias Semmo, Amir Döllner, Jürgen Computer Graphics System Group Hasso-Plattner-Institut University of Potsdam Germany

ISBN: (纸本)9783905673982

This paper presents a novel interactive rendering technique for creating and editing shadings for man-made objects in technical 3D visualizations. In contrast to shading approaches that use intensities computed based on surface normals (e.g., Phong, Gooch, Toon shading), the presented approach uses one-dimensional gradient textures, which can be parametrized and interactively manipulated based on per-object bounding volume approximations. The fully hardware-accelerated rendering technique is based on projective texture mapping and customizable intensity transfer functions. A provided performance evaluation shows comparable results to traditional normal-based shading approaches. The work also introduce simple direct-manipulation metaphors that enables interactive user control of the gradient texture alignment and intensity transfer functions. © The Eurographics Association 2013.

关键词： Transfer functions

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A novel semi-blind-and-semi-reversible robust watermarking scheme for 3D polygonal models

A novel semi-blind-and-semi-reversible robust watermarking s...

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作者： Lin, Chao-Hung Chao, Min-Wen Liang, Chan-Yu Lee, Tong-Yee Department of Geomatics National Cheng-Kung University No. 1 Ta-Hsueh Road Tainan 701 Taiwan Computer Graphics Group/Visual System Laboratory Department of Computer Science and Information Engineering National Cheng-Kung University No. 1 Ta-Hsueh Road Tainan 701 Taiwan

We introduce a novel semi-blind-and-semireversible robust watermarking scheme for three-dimensional (3D) polygonal models. The proposed approach embeds watermarks in the significant features of 3D models in a spread-spectrum manner. This novel scheme is robust against a wide variety of attacks including rotation, translation, scaling, noise addition, smoothing, mesh simplifications, vertex reordering, cropping, and even pose deformation of meshes. To the best of our knowledge, the existing approaches including blind, semi-blind, and non-blind detection schemes cannot withstand the attack of pose editing, which is a very common routine in 3D animation. In addition, the watermarked models can be semi-reversed (i.e., the peak signal-to-noise ratio (PSNR) of the recovered models is greater than 90 dB in all experiments) in semi-blind detection scheme. Experimental results show that this novel approach has many significant advantages in terms of robustness and invisibility over other state-of-the-art approaches. © Springer-Verlag 2010.

关键词： Watermarking

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Texture Synthesis with Prioritized Pixel Re-synthesis

引用

Journal of Information Science and Engineering 2009年第2期25卷 389-402页

作者：嚴崇仁李同益 Computer Graphics Group/Visual System Laboratory Department of Computer Science and Information Engineering National Cheng Kung University

In this paper, we propose a new patch-based texture synthesis method. The core of the proposed method consists of two main components: (1) a feature-weighted similarity measurement to search for the best match and (2) a dynamically prioritized-based pixel re-synthesis to reduce discontinuity at the boundary of adjacent patches. Examples and experimental comparisons with other previous methods are demonstrated to verify the usefulness of our proposed method. In addition, we enhance the proposed method with a view warping technique to better synthesize non-frontal-parallel textures (NFPTs) that can not be synthesized well by traditional texture synthesis methods.

关键词： patch-based texture synthesis, prioritized-based pixel re-synthesis, feature- weighted, best match, discontinuity, frontal-parallel (FP) and non-frontal-parallel (NFP), view-warping

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A high capacity 3D steganography algorithm

引用

IEEE transactions on visualization and computer graphics 2009年第2期15卷 274-84页

作者： Min-Wen Chao Chao-hung Lin Cheng-Wei Yu Tong-Yee Lee Computer Graphics Group Visual System Laboratory Department of Computer Science and Information Engineering National Cheng-Kung University Tainan Taiwan R.O.C. cvivians@***

In this paper, we present a very high-capacity and low-distortion 3D steganography scheme. Our steganography approach is based on a novel multilayered embedding scheme to hide secret messages in the vertices of 3D polygon models. Experimental results show that the cover model distortion is very small as the number of hiding layers ranges from 7 to 13 layers. To the best of our knowledge, this novel approach can provide much higher hiding capacity than other state-of-the-art approaches, while obeying the low distortion and security basic requirements for steganography on 3D models.

关键词： Three Dimensional graphics And Realism computer graphics

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Focus+Context visualization with distortion minimization

引用

IEEE transactions on visualization and computer graphics 2008年第6期14卷 1731-8页

作者： Yu-Shuen Wang Tong-Yee Lee Chiew-Lan Tai Computer Graphics Group/Visual System Laboratory Department of Computer Science and Information Engineering National Cheng-Kung University Taiwan R.O.C. braveheart@csie.ncku.edu.tw

The need to examine and manipulate large surface models is commonly found in many science, engineering, and medical applications. On a desktop monitor, however, seeing the whole model in detail is not possible. In this paper, we present a new, interactive Focus+Context method for visualizing large surface models. Our method, based on an energy optimization model, allows the user to magnify an area of interest to see it in detail while deforming the rest of the area without perceivable distortion. The rest of the surface area is essentially shrunk to use as little of the screen space as possible in order to keep the entire model displayed on screen. We demonstrate the efficacy and robustness of our method with a variety of models.

关键词： Index Terms Focus Context Visualization Magnification Bounding Space

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