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Proceedings of the conference on visualization '00

作者： T. J. Jankun-Kelly Kwan-Liu Ma Computer Science Department Visualization and Graphics Research Group. Center for Image Processing and Integrated Computing University of California Davis CA

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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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IEEE International Conference on computer-Aided Design and computer graphics

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

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.

关键词： Testing Surface fitting Surface reconstruction computer science Interpolation computer graphics Data visualization Data engineering Level set Scattering

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SQUEEZE: fast and progressive decompression of triangle meshes

SQUEEZE: fast and progressive decompression of triangle mesh...

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computer graphics International

作者： R. Pajarola J. Rossignac Information & Computer Science University of California Irvine USA Graphics Visualization & Usability Center College of Computing Georgia Institute of Technology USA

An ideal triangle mesh compression technology would simultaneously support the following objectives: (1) progressive refinements of the received mesh during decompression, (2) nearly optimal compression ratios for both geometry and connectivity, and (3) in-line, real-time decompression algorithms for hardware or software implementations. Because these three objectives impose contradictory constraints, previously reported efforts have focused primarily on one (sometimes two) of these objectives. The SQUEEZE technique introduced in this paper addresses all three constraints simultaneously, and attempts to provide the best possible compromise. For a mesh of T triangles, SQUEEZE compresses the connectivity to 3.7T bits, which is competitive with the best progressive compression techniques reported so far. The geometric prediction error encoding technique introduced in this paper leads to a geometry compression that is improved by 20% over that of previous schemes. Our initial implementation on a 300-MHz CPU achieved a decompression rate of up to 46,000 triangles per second. SQUEEZE downloads a model through a number of successive refinement stages, providing the benefit of progressivity.

关键词： Hardware Encoding Bandwidth Geometry Image coding Shape Solid modeling computer science computer graphics visualization

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MoireGraphs: radial focus+context visualization and interaction for graphs with visual nodes

MoireGraphs: radial focus+context visualization and interact...

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IEEE Symposium on Information visualization (INFOVIS)

作者： T.J. Jankun-Kelly Kwan-Liu Ma Department of Computer Science and Engineering Mississippi State University MS USA Visualization and Graphics Research Group Department of Computer Science University of California Davis CA USA

Graph and tree visualization techniques enable interactive exploration of complex relations while communicating topology. However, most existing techniques have not been designed for situations where visual information such as images is also present at each node and must be displayed. This paper presents MoireGraphs to address this need. MoireGraphs combine a new focus+context radial graph layout with a suite of interaction techniques (focus strength changing, radial rotation, level highlighting, secondary foci, animated transitions and node information) to assist in the exploration of graphs with visual nodes. The method is scalable to hundreds of displayed visual nodes.

关键词： Focusing Tree graphs Topology Geometry Layout computer graphics Displays Animation Data visualization computer science

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Polar, Spherical and Orthogonal Space Subdivisions for an Algorithm Acceleration: O(1) Point-in-Polygon/Polyhedron Test

arXiv

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arXiv 2022年

作者： Skala, Vaclav The University of West Bohemia Faculty of Applied Sciences Department .of Computer Science and Engineering Center of Computer Graphics and Visualization Univerzitni 8 PlzenCZ 30614 Czech Republic

Acceleration of algorithms is becoming a crucial problem, if larger data sets are to be processed. Evaluation of algorithms is mostly done by using computational geometry approach and evaluation of computational complexity. However in today’s engineering problems this approach does not respect that number of processed items is always limited and a significant role plays also speed of read/write operations. One general method how to speed up an algorithm is application of space subdivision technique and usually the orthogonal space subdivision is used. In this paper non-orthogonal subdivisions are described. The proposed approach can significantly improve memory consumption and run-time complexity. The proposed modified space subdivision techniques are demonstrated on two simple problems Point-in-Convex Polygon and Point-in-Convex Polyhedron *** Codes 65D17, 65D18 © 2022, CC BY.

关键词： Computational geometry

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Scientific and artistic investigation of multi-dimensional fractals on the AT & T pixel machine

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The Visual computer 1993年第7期9卷 346-355页

作者： Hart, John C. Lescinsky, Gordon W. Sandin, Daniel J. DeFanti, Thomas A. Kauffman, Louis H. School of EECS Washington State University Pullman 99/64-2752 WA United States Advanced Computer Graphics Centre Royal Melbourne Institute of Technology Victoria Melbourne Australia Electronic Visualization Laboratory EECS Dept. M/C 154 University of Illinois at Chicago Chicago 60680-4348 IL United States

The pipelined architecture and parallel organization of the AT&T Pixel Machine image computer are described and demonstrated with applications for the visualization of multidimensional fractals, particularly linear fractals and quaternion/ stacked Julia sets. Techniques for pushing the Pixel Machine to its peak abilities are described and apply to more recent parallel image computers as well. © 1993 Springer-Verlag.

关键词： Fractals Parallelism

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Continuous global optimization in surface reconstruction from an oriented point cloud

arXiv

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arXiv 2017年

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

We introduce a continuous global optimization method to the field of surface reconstruction from discrete noisy cloud of points with weak information on orientation. The proposed method uses an energy functional combining flux-based data-fit measures and a regularization term. A continuous convex relaxation scheme assures the global minima of the geometric surface functional. The reconstructed surface is implicitly represented by the binary segmentation of vertices of a 3D uniform grid and a triangulated surface can be obtained by extracting an appropriate isosurface. Unlike the discrete graph-cut solution, the continuous global optimization entails advantages like memory requirements, reduction of metrication errors for geometric quantities, allowing globally optimal surface reconstruction at higher grid resolutions. We demonstrate the performance of the proposed method on several oriented point clouds captured by laser scanners. Experimental results confirm that our approach is robust to noise, large holes and non-uniform sampling density under the condition of very coarse orientation information. Copyright © 2017, The Authors. All rights reserved.

关键词： Global optimization

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System for inspection of large high-resolution radiography datasets

System for inspection of large high-resolution radiography d...

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IEEE Conference on Aerospace

作者： Tom Wypych So Yamaoka Kevin Ponto Falko Kuester San Diego Department of Computer Science and Engineering CalIT2 Center of Graphics Visualization and Virtual Reality (GRAVITY) University of California USA

High-resolution image collections pose unique challenges to analysts tasked with managing the associated data assets and deriving new information from them. While significant progress has been made towards rapid automated filtering, alignment, segmentation, characterization, and feature identification from image collections, the extraction of new insights still strongly depends on human intervention. In real-time capture and immediate-mode analysis environments where image data has to be continuously and interactively processed, a broad set of challenges in the image-driven verification and analysis cycle have to be addressed. A framework for interactive and intuitive inspection of large, high-resolution image data sets is presented, leveraging the strength of the human visual system for large-scale image processing. A case study is provided for an X-ray radiography system, covering the scanner-to-screen data management and representation pipeline, resulting in a visual analytics environment enabling analytical reasoning by means of interactive and intuitive visualization.

关键词： Imaging Inspection Data visualization X-ray imaging Visual analytics Pixel Radar imaging

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Volume Upscaling Using Local Self-Examples for High Quality Volume visualization

Volume Upscaling Using Local Self-Examples for High Quality ...

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IEEE International Conference on computer-Aided Design and computer graphics

作者： Qirui Wang Yubo Tao Chao Wang Feng Dong Hai Lin Gordon Clapworthy State Key Lab of CAD&CG Zhejiang University Zhejiang China Centre for Computer Graphics & Visualization University of Bedfordshire Luton UK

Volume up scaling enlarges the size of a volume to make feature analysis more accurate and efficient. Linear interpolation, widely used in volume up scaling, result in jagged artifacts around features and losses of high-frequency components. Based on the example-based up scaling framework, this paper presents a new high-quality volume up scaling technique, predicting the high-frequency components by searching for the best matched patch in the input volume. As each slice can be taken as an image, the existing image up scaling technique based on the local self-similarity assumption can be directly applied to achieve slice up scaling. We further validate that the local self-similarity assumption is still valid for 3D volumes, and we extend this technique to 3D volume up scaling, i.e., isotropic volume up scaling. We compare our volume up scaling technique with traditional linear and cubic spline interpolations, and demonstrate that our method can generate a higher quality volume with better shape and details preserved. The proposed volume up scaling technique is well suitable for legacy low-resolution volumes to improve their visual qualities in visualization and analysis.

关键词： Interpolation Rendering (computer graphics) Image resolution Three-dimensional displays Biomedical imaging visualization Image reconstruction

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Real-time out-of-core visualization of particle traces

Real-time out-of-core visualization of particle traces

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IEEE Symposium on Parallel and Large-Data visualization and graphics (PVG)

作者： R. Bruckschen F. Kuester B. Hamann K.I. Joy Visualization and Graphics Research Group Center for Image Processing and Integrated Computing Department of Computer Science University of California Davis CA USA Visualization and Interactive Systems Group Department of Electrical and Computer Engineering University of California Irvine CA USA

ISBN: (纸本)0780372239

visualization of particle traces provides intuitive and efficient means for the exploration and analysis of complex vector fields. The paper presents a method suitable for the real-time visualization of arbitrarily large time-varying vector fields in virtual environments. We describe an out-of-core scheme in which two distinct pre-processing and rendering components enable real-time data streaming and visualization. The presented approach yields low-latency application start-up times and small memory footprints. The described system was used to implement a "volumetric fog lance," which can emit up to 60000 particles into a flow field while maintaining an interactive frame rate of 60 frames per second. All algorithms were specifically designed to support commodity hardware. The proof-of-concept system is running on a low-cost Linux workstation equipped with a 120 GB E-IDE RAID (redundant array of inexpensive disk) system.

关键词： Data visualization Computational modeling Computational fluid dynamics Motion pictures Hardware computer graphics Interactive systems Image processing computer science Image analysis

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