Scientific visualization - Methods and applications

被引：0
|
作者：
Hagen, H [1 ]
Ebert, A [1 ]
van Lengen, RH [1 ]
Scheuermann, G [1 ]
机构：
[1] Univ Kaiserslautern, D-67663 Kaiserslautern, Germany
来源：
INFORMATICS - 10 YEARS BACK, 10 YEARS AHEAD | 2001年 / 2000卷
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Scientific Visualization is currently a very active and vital area of research, teaching and development. The success of Scientific Visualization is mainly due to the soundness of the basic premise behind it, that is, the basic idea of using computer-generated pictures to gain information and understanding from data (geometry) and relationships (topology). This is an extremely intiutive and very important concept which is having a profound and wide spread impact on the methodology of science and engineering. In this survey we are concentrating on three main research areas in Scientific Visualization Intelligent Visualization Systems Visualization of Vector- and Tensorfields Augmented Reality Simulation.
引用
收藏
页码：311 / 327
页数：17
相关论文
共 50 条
  • [21] Advanced scientific computational methods and their applications to nuclear technologies - (2) Overview of scientific computational methods, introduction of continuum simulation methods and their applications (2)
    Okuda, Hiroshi
    Iwamoto, Tatsuya
    [J]. JOURNAL OF THE ATOMIC ENERGY SOCIETY OF JAPAN, 2006, 48 (05): : 339 - 347
  • [22] Efficient numerical methods for scientific applications: Introduction
    Farago, Istvan
    Georgiev, Krassimir
    Havasi, Agnes
    Zlatev, Zahari
    [J]. COMPUTERS & MATHEMATICS WITH APPLICATIONS, 2013, 65 (03) : 297 - 300
  • [23] Numerical Methods for Scientific Computations and Advanced Applications
    Georgiev, Krassimir
    Iliev, Oleg
    Minev, Peter
    [J]. COMPUTERS & MATHEMATICS WITH APPLICATIONS, 2015, 70 (11) : 2619 - 2620
  • [24] Scientific methods and applications to archaeological provenance studies
    Tykot, RH
    [J]. PHYSICS METHODS IN ARCHAEOMETRY, 2004, 154 : 407 - 432
  • [25] Scientific Visualization
    Encarnacao, L. Miguel
    [J]. IEEE COMPUTER GRAPHICS AND APPLICATIONS, 2016, 36 (03) : 3 - 3
  • [26] Scientific visualization
    Jagadeesh, BS
    [J]. SOLID STATE PHYSICS, VOL 41, 1998, 1999, : 85 - 87
  • [27] Methods and applications for visualization of SNOMED CT concept sets
    Hojen, A. R.
    Sundvall, E.
    Goeg, K. R.
    [J]. APPLIED CLINICAL INFORMATICS, 2014, 5 (01): : 127 - 152
  • [28] Visualization methods for data analysis and planning in medical applications
    Kosara, R
    Miksch, S
    [J]. INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS, 2002, 68 (1-3) : 141 - 153
  • [29] Visualization Methods for Linking Scientific and Local Knowledge of Climate Change Impacts
    Lieske, Scott N.
    Martin, Kari
    Grant, Ben
    Baldwin, Claudia
    [J]. PLANNING SUPPORT SYSTEMS AND SMART CITIES, 2015, : 373 - 389
  • [30] Scalar Field Comparison with Topological Descriptors: Properties and Applications for Scientific Visualization
    Yan, Lin
    Masood, Talha Bin
    Sridharamurthy, Raghavendra
    Rasheed, Farhan
    Natarajan, Vijay
    Hotz, Ingrid
    Wang, Bei
    [J]. COMPUTER GRAPHICS FORUM, 2021, 40 (03) : 599 - 633
12345