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30th Annual Conference on European Association for Computer Graphics, EUROGRAPHICS 2009

作者： Budge, Brian Bernardin, Tony Stuart, Jeff A. Sengupta, Shubhabrata Joy, Kenneth I. Owens, John D. Institute for Data Analysis and Visualization Department of Computer Science Davis United States Department of Electrical and Computer Engineering University of California Davis United States

We present a software system that enables path-traced rendering of complex scenes. The system consists of two primary components: an application layer that implements the basic rendering algorithm, and an out-of-core scheduling and data-management layer designed to assist the application layer in exploiting hybrid computational resources (e.g., CPUs and GPUs) simultaneously. We describe the basic system architecture, discuss design decisions of the system's data-management layer, and outline an efficient implementation of a path tracer application, where GPUs perform functions such as ray tracing, shadow tracing, importance-driven light sampling, and surface shading. The use of GPUs speeds up the runtime of these components by factors ranging from two to twenty, resulting in a substantial overall increase in rendering speed. The path tracer scales well with respect to CPUs, GPUs and memory per node as well as scaling with the number of nodes. The result is a system that can render large complex scenes with strong performance and scalability. © 2008 The Author(s).

关键词： Information management

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Feature tracking in VR for cumulus cloud life-cycle studies

Feature tracking in VR for cumulus cloud life-cycle studies

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Joint 9th International Workshop on Immersive Projection Technology and the 11th Eurographics Symposium on Virtual Environments, IPT/EGVE 2005

作者： Griffith, E.J. Post, F.H. Koutek, M. Heus, T. Jonker, H.J.J. Data Visualization Group Faculty of Electrical Engineering Mathematics and Computer Science Netherlands Department of Multi-Scale Physics Faculty of Applied Sciences Delft University of Technology Netherlands

ISBN: (纸本)3905673215

Feature tracking in large data sets is traditionally an off-line, batch processing operation while virtual reality typically focuses on highly interactive tasks and applications. This paper presents an approach that uses a combination of off-line preprocessing and interactive visualization in VR to simplify and speed up the identification of interesting features for further study. We couch the discussion in terms of our collaborative research on using virtual reality for cumulus cloud life-cycle studies, where selecting suitable clouds for study is simple for the skilled observer but difficult to formalize. The preprocessing involves identifying individual clouds within the data set through a 4D connected components algorithm, and then saving isosurface, bounding box, and volume information. This information is then interactively visualized in our VR Cloud Explorer with various tools and information displays to identify the most interesting clouds. In a small pilot study, reasonable performance, both in the preprocessing phase and the visualization phase, has been measured. © The Eurographics Association 2005.

关键词： Virtual reality

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visualization in Medicine and Life sciences II 1

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丛书名： Mathematics and visualization

1000年

作者： Lars Linsen Hans Hagen Bernd Hamann Hans-Christian Hege

ISBN: (数字)9783642216084

ISBN: (纸本)9783642216077;9783662519691

For some time, medicine has been an important driver for the development of data processing and visualization techniques. Improved technology offers the capacity to generate larger and more complex data sets related to imaging and simulation. This, in turn, creates the need for more effective visualization tools for medical practitioners to interpret and utilize data in meaningful ways. The first edition of visualization in Medicine and Life sciences (VMLS) emerged from a workshop convened to explore the significant data visualization challenges created by emerging technologies in the life sciences. The workshop and the book addressed questions of whether medical data visualization approaches can be devised or improved to meet these challenges, with the promise of ultimately being adopted by medical experts. visualization in Medicine and Life sciences II follows the second international VMLS workshop, held in Bremerhaven, Germany, in July 2009. Internationally renowned experts from the visualization and driving application areas came together for this second workshop. The book presents peer-reviewed research and survey papers which document and discuss the progress made, explore new approaches to data visualization, and assess new challenges and research directions.

关键词： visualization Computer Graphics Computer Appl. in Life sciences Mathematical Modeling and Industrial Mathematics Image Processing and Computer Vision Computational science and Engineering

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Clifford Pattern Matching for Color Image Edge Detection 1

Clifford Pattern Matching for Color Image Edge Detection

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1st Workshop of the DFG's International Research Training Group "visualization of Large and Unstructured data Sets - Applications in Geospatial Planning, Modeling, and Engineering"

作者： Schlemmer, Michael Hagen, Hans Hotz, Ingrid Hamann, Bernd TU Kaiserslautern Computer Science Department KaiserslauternD-67653 Germany University of California Davis Institute for Data Analysis and Visualization DavisCA95616 United States

ISBN: (纸本)9783885794387

Feature detection and pattern matching play an important role in visualization. Originally developed for images and scalar fields, pattern matching methods become increasingly interesting for other applications, e.g., vector fields. To apply pattern matching to vector fields the basic concepts of convolution and fast Fourier transform (FFT) have to be generalized to vector fields. A formalism supporting an elegant generalization of these concepts is provided by the Clifford Algebra, originally developed for describing geometry and geometric operations. We discuss an application of the Clifford Pattern Matching (CPM). We apply CPM to images for "Clifford Color Edge Detection"(C2ED), an approach for detecting edges and other features in color images. The basic idea is to treat color value tripels as vectors and apply the pattern matching algorithm to the resulting vector field. We introduce vector-valued filters for edge detection and present results. © 2006 Gesellschaft für Informatik, Bonn.

关键词： Pattern matching

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Dynamic class learning approach for smart CBIR 6th

Dynamic class learning approach for smart CBIR

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6th National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics, NCVPRIPG 2017

作者： Pahariya, Girraj Ravindran, Balaraman Das, Sukhendu Department of Computer Science and Engineering IIT Madras Chennai India Robert Bosch Centre for Data Science and AI IIT Madras Chennai India Visualization and Perception Lab IIT Madras Chennai India

ISBN: (纸本)9789811300196

Smart Content Based Image Retrieval (CBIR) helps to simultaneously localize and recognize all object(s) present in a scene, for image retrieval task. The major drawbacks in such kind of system are: (a) overhead for addition of new class is high - addition of new class requires manual annotation of large number of samples and retraining of an entire object model;and (b) use of handcrafted features for recognition and localization task, which limits its performance. In this era of data proliferation where it is easy to discover new object categories and hard to label all of them i.e. less amount of labeled samples for training which raises the above mentioned drawbacks. In this work, we propose an approach which cuts down the overhead of labelling the data and re-training on an entire module to learn new classes. The major components in proposed framework are: (a) selection of an appropriate pre-trained deep model for learning a new class;and (b) learning new class by utilizing selected deep model with less supervision (i.e. with the least amount of labeled data) using a concept of triplet learning. To show the effectiveness of the proposed technique of new class learning, we have performed an evaluation on CIFAR-10, PASCAL VOC2007 and Imagenet datasets. © Springer Nature Singapore Pte Ltd. 2018.

关键词： Content based retrieval

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visualization in Medicine and Life sciences III 1

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丛书名： Mathematics and visualization

1000年

作者： Lars Linsen Bernd Hamann Hans-Christian Hege

ISBN: (数字)9783319245232

ISBN: (纸本)9783319245218;9783319796406

The book discusses novel visualization techniques driven by the needs in medicine and life sciences as well as new application areas and challenges for visualization within these fields. It presents ideas and concepts for visual analysis of data from scientific studies of living organs or to the delivery of healthcare. Target scientific domains include the entire field of biology at all scales - from genes and proteins to organs and populations - as well as interdisciplinary research based on technological advances such as bioinformatics, biomedicine, biochemistry, or biophysics. Moreover, they comprise the field of medicine and the application of science and technology to healthcare problems. This book does not only present basic research pushing the state of the art in the field of visualization, but it also documents the impact in the fields of medicine and life sciences.

关键词： visualization User Interfaces and Human Computer Interaction Computer Graphics Image Processing and Computer Vision

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Visual evaluation of graph representation learning based on the presentation of community structures

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Visual Informatics 2024年第3期8卷 29-31页

作者： Yong Zhang Lihong Cai Yuhua Liu Yize Li Songyue Li Yuming Ma Yuwei Meng Zhiguang Zhou Intelligent Big Data Visualization Lab Hangzhou Dianzi UniversityHangzhouChina Science&Informatization Department Zhejiang Provincial Energy Group CompanyHangzhouChina State Key Lab of CAD&CG Zhejiang UniversityHangzhouChina

Various graph representation learning models convert graph nodes into vectors using techniques like matrix factorization,random walk,and deep ***,choosing the right method for different tasks can be *** within networks help reveal underlying structures and *** how different models preserve community properties is crucial for identifying the best graph representation for data *** paper defines indicators to explore the perceptual quality of community properties in representation learning spaces,including the consistency of community structure,node distribution within and between communities,and central node distribution.A visualization system presents these indicators,allowing users to evaluate models based on community *** studies demonstrate the effectiveness of the indicators for the visual evaluation of graph representation learning models.

关键词： Graph representation learning Community structure Visual perception

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3D Localization and data Quality Estimation with Marvelmind 2

3D Localization and Data Quality Estimation with Marvelmind

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2nd IEEE Conference on Information Technology and data science, CITDS 2022

作者： Vagner, Mate Palkovics, Denes Kovacs, Laszlo University of Debrecen Faculty of Informatics Debrecen Hungary Nvidia Deep Learning Institute Certified Instructor University of Debrecen Faculty of Informatics Department of Data Science and Visualization Debrecen Hungary

ISBN: (数字)9781665496537

ISBN: (纸本)9781665496537

Localization and position estimation are crucial tasks in autonomous driving. In addition to the importance of positioning, with good quality position tracking, it is possible to implement sophisticated data collection procedures and use advanced machine learning methods such as reinforced learning. Global navigation satellite systems offer very accurate positioning, but their use is cumbersome or impossible under certain laboratory conditions. In our work, we applied an indoor positioning system, that is integrated into our 1:16 self-driving car. © 2022 IEEE.

关键词： Indoor positioning systems

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ML-Based Online Traffic Classification for SDNs 2

ML-Based Online Traffic Classification for SDNs

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2nd IEEE Conference on Information Technology and data science, CITDS 2022

作者： Nsaif, Mohammed Kovasznai, Gergely Abboosh, Mohammed Malik, Ali Frein, Ruairi De University of Debrecen Department of Information Technology Hungary Eszterházy Károly Catholic University Department of Computational Science Hungary University of Debrecen Department of Data Science and Visualization Hungary Technological University Dublin School of Electrical and Electronic Engineering Ireland

ISBN: (数字)9781665496537

ISBN: (纸本)9781665496537

Traffic classification is a crucial aspect for Software-Defined Networking functionalities. This paper is a part of an on-going project aiming at optimizing power consumption in the environment of software-defined datacenter networks. We have developed a novel routing strategy that can blindly balance between the power consumption and the quality of service for the incoming traffic flows. In this paper, we demonstrate how to classify the network traffic flows so that the quality of service of each flow-class can be guaranteed efficiently. This is achieved by creating a dataset that encompasses different types of network traffic such as video, VoIP, game and ICMP. The performance of a number of Machine Learning techniques is compared and the results are reported. As part of future work, we will incorporate classification into the power consumption model towards achieving further advances in this research area. © 2022 IEEE.

关键词： Quality of service

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Implicit surface modeling suitable for inside/outside tests with radial basis functions

Implicit surface modeling suitable for inside/outside tests ...

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2007 10th IEEE International Conference on Computer Aided Design and Computer Graphics, CAD/Graphics 2007

作者： Pan, Rongjiang Skala, Vaclav School of Computer Science and Technology Shandong University Jinan 250100 China Centre of Computer Graphics and Data Visualization Department of Computer Science and Engineering University of West Bohemia Plzen 306 14 Czech Republic

ISBN: (纸本)9781424415793

We describe a method for computing an implicit function that represents a surface by its zero level set, given a set of points scattered over the surface and associated with surface normal vectors. This implicit function is defined as a linear combination of compactly supported radial basis functions. Our method is suitable for testing whether a given point is interior or exterior to the surface, previously only associated with globally supported or globally regularized radial basis functions. We use a two-level interpolation approach. In the coarse scale interpolation, we set basis function centers by a grid that covers the enlarged bounding box of the given point set and compute their signed distances to the underlying surface using local quadratic approximations of the nearest surface points. Then a fitting to the residual errors on the surface points and additional off-surface points is performed with fine scale basis functions. The final function is the sum of the two intermediate functions and is a good approximation of the signed distance field to the surface in the bounding box. Examples of surface reconstruction and set operations between shapes are provided. © 2007 IEEE.

关键词： Interpolation

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