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Anycast algorithms supporting optical burst switched grid networks

Anycast algorithms supporting optical burst switched grid ne...

引用

International Conference on Networking and Services 2006, ICNS'06

作者： De Leenheer, Marc Farahmand, Farid Lu, Kejie Zhang, Tao Thysebaert, Pieter Volckaert, Bruno De Turck, Filip Dhoedt, Bart Demeester, Piet Jue, Jason P. Department of Information Technology Ghent University IMEC Department of Computer Electronics and Graphics Technology Central Connecticut State University Department of Electrical and Computer Engineering University of Puerto Rico Mayagüez Puerto Rico Department of Computer Science New York Institute of Technology Old Westbury Department of Electrical Engineering and Computer Science University of Texas Dallas United States

ISBN: (纸本)0769526225

In this paper we consider implementing optical burst switching as a technology for building Grids with computationally intensive requirements. This architecture has been referred to as Grid-over-OBS (GoOBS). First, we briefly describe the proposed layered Grid architecture and show how OBS can be positioned within the Grid architecture. Then, we present a generic framework for anycast routing in the context of GoOBS when requests don't have an explicit destination address and they can be serviced by any appropriate Grid resource. We also develop several algorithms to support anycasting when only a single copy of a request is transmitted. Through simulation analysis, we show the performance of our anycast algorithms and compare them with traditional shortest-path unicast routing in which all jobs have specific addresses. Our performance analysis focuses on blocking probability of requests and average end-to-end delay. © 2006 IEEE.

关键词： Grid computing

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Efficient Maximally Stable Extremal Region (MSER) Tracking

Efficient Maximally Stable Extremal Region (MSER) Tracking

引用

Conference on computer Vision and Pattern Recognition (CVPR)

作者： M. Donoser H. Bischof Institute for Computer Graphics and Vision Graz University of Technology Austria

This paper introduces a tracking method for the well known local MSER (Maximally Stable Extremal Region) detector. The component tree is used as an efficient data structure, which allows the calculation of MSERs in quasi-linear time. It is demonstrated that the tree is able to manage the required data for tracking. We show that by means of MSER tracking the computational time for the detection of single MSERs can be improved by a factor of 4 to 10. Using a weighted feature vector for data association improves the tracking stability. Furthermore, the component tree enables backward tracking which further improves the robustness. The novel MSER tracking algorithm is evaluated on a variety of scenes. In addition, we demonstrate three different applications, tracking of license plates, faces and fibers in paper, showing in all three scenarios improved speed and stability.

关键词： Stability Detectors Image sequences Robustness Layout Application software Licenses Face detection computer vision Object detection

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On-line Boosting and Vision

On-line Boosting and Vision

引用

Conference on computer Vision and Pattern Recognition (CVPR)

作者： H. Grabner H. Bischof Institute for Computer Graphics and Vision Graz University of Technology Austria

Boosting has become very popular in computer vision, showing impressive performance in detection and recognition tasks. Mainly off-line training methods have been used, which implies that all training data has to be a priori given; training and usage of the classifier are separate steps. Training the classifier on-line and incrementally as new data becomes available has several advantages and opens new areas of application for boosting in computer vision. In this paper we propose a novel on-line AdaBoost feature selection method. In conjunction with efficient feature extraction methods the method is real time capable. We demonstrate the multifariousness of the method on such diverse tasks as learning complex background models, visual tracking and object detection. All approaches benefit significantly by the on-line training.

关键词： Boosting computer vision Object detection Application software Machine learning Support vector machines computer graphics Training data Feature extraction Machine learning algorithms

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A Hybrid User Interface for Manipulation of Volumetric Medical Data

A Hybrid User Interface for Manipulation of Volumetric Medic...

引用

IEEE Symposium on 3D User Interfaces (3DUI)

作者： A. Bornik R. Beichel E. Kruijff B. Reitinger D. Schmalstieg Institute for Computer Graphics and Vision Graz University of Technology Austria

This paper presents a novel system for interactive visualization and manipulation of medical datasets for surgery planning based on a hybrid VR / Tablet PC user interface. The goal of the system is to facilitate efficient visual inspection and correction of surface models generated by automated segmentation algorithms based on x-ray computed tomography scans, needed for planning surgical interventions. Factors like the quality of the visualization, nature of the dataset and interaction efficiency strongly influence system design decisions, in particular the design of the user interface, input devices and interaction techniques, leading to a hybrid setup. Finally, a user study is presented, which characterizes the system in terms of method efficiency and usability.

关键词： User interfaces Surgery Liver Image segmentation Virtual reality Computed tomography Biomedical imaging computer graphics Data visualization X-ray imaging

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Range detection approach in interactive virtual heritage walkthrough

Range detection approach in interactive virtual heritage wal...

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16th International Conference on Artificial Reality and Telexistence - Workshops, ICAT 2006

作者： Sunar, M.S. Zin, A.M. Sembok, T.M.T. Dept. of Computer Graphics and Multimedia Faculty of Computer Science and Information System Universiti Teknologi Malaysia 81310 Skudai Johor Malaysia Faculty of Information Science and Technology Universiti Kebangsaan Malaysia 43600 Bangi Selangor Malaysia

ISBN: (纸本)076952754X

Exploring virtual world will give a memorable experience to the users. Generally, they are expecting smooth navigation with high quality image drawn into their eyes. Nevertheless, when the virtual world is growing simultaneously with the number of objects, the navigation will be detained. Yet, the frame rates can become unacceptable. In this paper, we present and examine range detection approach for view frustum culling to effectively speed-up the interactive virtual heritage project namely Ancient Malacca Virtual Walkthrough. Normal six plane view frustum culling approach use the plane equation to test whether objects is within the visible region. However, range detection approach is different with normal six plane view frustum. It is based on camera referential point and tests the objects if they are in the viewing range. The results show that this approach is able to increase the rendering performance of the virtual walkthrough without sacrificing the visual quality. © 2006 IEEE.

关键词： Virtual reality

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Spatial Analysis Tools for Virtual Reality-based Surgical Planning

Spatial Analysis Tools for Virtual Reality-based Surgical Pl...

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IEEE Symposium on 3D User Interfaces (3DUI)

作者： B. Reitinger D. Schmalstieg A. Bornik R. Beichel Institute for Computer Graphics and Vision Graz University of Technology Graz Austria

This paper presents a set of Virtual Reality-based interaction techniques for spatial analysis of medical datasets. computer-aided medical planning tools often require precise and intuitive interaction for the quantitative inspection and analysis of anatomical and pathological structures. We claim that measurement tasks can be carried out more efficiently using Virtual Reality-based interaction tools rather than using common 2D input devices used for medical workstation. Due to the true direct manipulation of threedimensional virtual objects, measurement tools can be used easily in 3D. An evaluation performed with a group of 20 subjects provides evidence to back up our claims.

关键词： Surgery Biomedical imaging Medical diagnostic imaging Virtual reality Visualization Data analysis Inspection Workstations Performance evaluation Volume measurement

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3D Segmentation by Maximally Stable Volumes (MSVs)

3D Segmentation by Maximally Stable Volumes (MSVs)

引用

International Conference on Pattern Recognition

作者： M. Donoser H. Bischof Institute for Computer Graphics and Vision Graz University of Technology Graz Austria

ISBN: (纸本)0769525210

This paper introduces an efficient 3D segmentation concept, which is based on extending the well-known maximally stable extremal region (MSER) detector to the third dimension. The extension allows the detection of stable 3D regions, which we call the maximally stable volumes (MSVs). We present a very efficient way to detect the MSVs in quasi-linear time by analysis of the component tree. Two applications - 3D segmentation within simulated MR brain images and analysis of the 3D fiber network within digitized paper samples $show that reasonably good segmentation results are achieved with low computational effort

关键词： Detectors Image segmentation Application software Image analysis computer vision Image sequence analysis computer graphics Brain modeling Computational modeling Analytical models

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Flashimation: The Context and Culture of Web Animation: Copyright restrictions prevent ACM from providing the full text for this work. 06

Flashimation: The Context and Culture of Web Animation: Copy...

引用

ACM SIGGRAPH 2006 Art gallery

作者： Dan L. Baldwin Michael S. Daubs John B. Ludwick Computer Graphics Technology IUPUI The University of Western Ontario Indiana University IUPUI

No abstract available.

ISBN: (纸本)9781595933645

No abstract available.

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Modelling and Handling Seams in Wide-Area Sensor Networks

Modelling and Handling Seams in Wide-Area Sensor Networks

引用

International Symposium on Wearable computers

作者： Joseph Newman Gerhard Schall Dieter Schmalstieg Computer Laboratory University of Cambridge UK Institute for Computer Graphics and Vision Graz University of Technology Austria

ISBN: (纸本)1424405971

The fields of wearable computing, augmented reality and ubiquitous computing are in principle highly convergent, as they all promise a Utopian future in which the devices embedded in the environment, our bodies and our clothes will have reached a level integration such that we can intuitively perceive and interact with our environment. However, the reality as practised in research labs and limited commercial deployments has been that budgetary and technical constraints have actually kept these fields separate and distinct. One manifestation of this separation is in the choice of sensors used to build systems in each domain. A truly cross-disciplinary project has to incorporate sensors of much greater heterogeneity than has occurred heretofore. The way in which sensors are deployed results in spatial seams that can act as obstacles to the provision of services across different areas. This paper takes an architectural approach to handling events from different tracking systems and maintaining a consistent spatial model of people and objects. The principal distinguishing feature is the automatic derivation of dataflow network of distributed sensors, dynamically and at run-time, based on requirements expressed by clients.

关键词： Pervasive computing Virtual reality Wearable sensors Augmented reality Bandwidth Wearable computers Ubiquitous computing Sensor systems Runtime Sensor phenomena and characterization

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Robust Surface Detection for Variance Comparison and Dimensional Measurement

Robust Surface Detection for Variance Comparison and Dimensi...

引用

8th Joint Eurographics/IEEE VGTC Symposium on Visualization, EuroVis 2006

作者： Heinzl, C. Klingesberger, R. Kastner, J. Gröller, E. Upper Austrian University of Applied Sciences Stelzhammerstrasse 23 Wels A-4600 Austria Vienna University of Technology Institute of Computer Graphics and Algorithms Karlsplatz 13 ViennaA-1040 Austria

ISBN: (纸本)3905673312

This paper describes a robust method for creating surface models from volume datasets with distorted density values due to artefacts and noise. Application scenario for the presented work is variance comparison and dimensional measurement of homogeneous industrial components in industrial high resolution 3D computed tomography (3D-CT). We propose a pipeline which uses common 3D image processing filters for pre-processing and segmentation of 3D-CT datasets in order to create the surface model. In particular, a pre-filtering step reduces noise and artefacts without blurring edges in the dataset. A watershed filter is applied on the gradient information of the smoothed data to create a binary dataset. Finally the surface model is constructed, using constrained elastic-surface nets to generate a smooth but feature preserving mesh of a binary volume. The major contribution of this paper is the development of the specific processing pipeline for homogeneous industrial components to handle large resolution data of industrial CT scanners. The pipeline is crucial for the following visual inspection of deviations. © The Eurographics Association 2006.

关键词： Pipelines

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