Focus on scientific visualization:
Gespeichert in:
| Format: | Buch |
|---|---|
| Sprache: | English |
| Veröffentlicht: |
Berlin u.a.
Springer
1993
|
| Schriftenreihe: | Computer graphics: systems and applications
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XX, 379 S. Ill., graph. Darst. |
| ISBN: | 3540549404 0387549404 |
Internformat
MARC
| LEADER | 00000nam a2200000 c 4500 | ||
|---|---|---|---|
| 001 | BV006126907 | ||
| 003 | DE-604 | ||
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| 245 | 1 | 0 | |a Focus on scientific visualization |c H. Hagen ... (eds.) |
| 264 | 1 | |a Berlin u.a. |b Springer |c 1993 | |
| 300 | |a XX, 379 S. |b Ill., graph. Darst. | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 490 | 0 | |a Computer graphics: systems and applications | |
| 650 | 7 | |a Visualisatie |2 gtt | |
| 650 | 4 | |a Naturwissenschaft | |
| 650 | 4 | |a Science |x Methodology | |
| 650 | 4 | |a Visualization |x Technique | |
| 650 | 0 | 7 | |a Computergrafik |0 (DE-588)4010450-3 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Technik |0 (DE-588)4059205-4 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Naturwissenschaften |0 (DE-588)4041421-8 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Visualisierung |0 (DE-588)4188417-6 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Information und Dokumentation |0 (DE-588)4026901-2 |2 gnd |9 rswk-swf |
| 655 | 7 | |0 (DE-588)1071861417 |a Konferenzschrift |2 gnd-content | |
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| 689 | 4 | |5 DE-604 | |
| 700 | 1 | |a Hagen, Hans |e Sonstige |4 oth | |
| 856 | 4 | 2 | |m Digitalisierung TU Muenchen |q application/pdf |u http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=003871417&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |3 Inhaltsverzeichnis |
| 999 | |a oai:aleph.bib-bvb.de:BVB01-003871417 | ||
Datensatz im Suchindex
| _version_ | 1804120351166169088 |
|---|---|
| adam_text | Contents
Fluid Flow Visualization
Frits H. Post,
Theo
van WaJsum
........................ 1
1
Introduction
.............................. 1
1.1
Purposes and Problems of Flow Visualization
....... 1
1.2
Overview
........................... 3
2
Experimental Flow Visualization
.................. 3
2.1
Addition of Foreign Material
................. 3
2.2
Optical Techniques
...................... 5
2.3
Addition of Heat and Energy
................ 6
3
Computer Graphics Flow Visualization
............... 7
3.1
The Flow Visualization Process
............... 8
3.2
Flow Visualization Mappings
................ 9
3.3
Data Preparation
....................... 12
3.3.1
Filtering
....................... 12
3.3.2
Data Selection
................... 12
3.3.3
Domain Transformations
.............. 13
3.3.4
Interpolation
.................... 15
3.3.5
Point Location
................... 16
3.3.6
Computing Derived Scalar Quantities
....... 17
3.3.7
Computing Particle Path Lines
.......... 17
3.3.8
Contour Lines and Surfaces
............ 19
3.4
Flow Field Topology
..................... 20
3.4.1
Critical points
................... 21
3.4.2
Integral Curves and Surfaces
........... 21
4
Presentation Techniques
....................... 22
4.1
Human Perception and Depth Cues
............. 23
4.2
Basic Rendering Techniques
................. 24
4.2.1
Arrows
....................... 2!
4.2.2
Curves
........................
2Г)
4.2.3
Surfaces
....................... 27
4.2.4
Particles
.......................
2S
4.2.5 Environment
Geometry
.............. 29
4.2.6 Volume
Rendering
................. 29
4.3 Special
Rendering Techniques
................
ЗО
4.3.1
Animation
......................
ЗО
4.3.2
Aliasing and Anti-Aliasing
............. 31
4.3.3
Texture Synthesis and Texture Mapping
..... 31
4.3.4
Hybrid Rendering
................. 32
4.3.5
Advanced Particle Rendering
........... 33
5
Conclusions and Research Directions
................ 34
References
.................................. 36
Volume Visualization in Medicine:
Techniques and Applications
Andreas Pommert, Michael
Bomans,
Martin
Riemer,
Ulf
Tiede,
Karl Heinz
Höhne.......................... 41
1
Introduction
.............................. 41
1.1
Objectives
........................... 41
1.2
Related Fields
......................... 42
2
Imaging Modalities
.......................... 43
3
Methods
................................ 44
3.1
Overview
........................... 44
3.2
Preprocessing
......................... 46
3.2.1
Data Conversion
.................. 46
3.2.2
Filtering
....................... 46
3.2.3
Interpolation
.................... 47
3.2.4
Data Structures
................... 47
3.3
Object Definition
....................... 47
3.3.1
Segmentation
.................... 48
3.3.2
Interpretation
.................... 48
3.4
Surface-Based Rendering
................... 48
3.1.1
Surface Reconstruction from Contours
...... 49
3.1.2
Surface Reconstruction from Volumes
....... 49
3.4.3
Shading
....................... 51
3.5 Yoxel-Hased
Rendering
.................... 51
3.5.1
Projection Techniques
............... 52
3.5.2
Surfaces
....................... 53
3.5.3
Cut Planes
..................... 54
3.5.1
Integral and Maximum Intensity Projection
. . . 54
3.5.5
Volume Rendering
................. 55
3.(> Advanced Segmentation Methods
.............. 56
3.6.1
Point-Based Segmentation
............. 57
3.6.2
Edge-Based Segmentation
............. 57
3.6.3
Region-Based Segmentation
............ 58
3.7
Multimodality Matching
................... 59
3.8
Manipulation
......................... 59
3.9
Image Fidelity
......................... 59
3.10
Implementation Aspects
................... 60
4
Applications
.............................. 60
5
Conclusions
.............................. 61
References
.................................. 62
Application of Visualization
in Environmental Protection
Ralf Denzer................................... 73
1
Introduction
.............................. 73
2
Applications of Software Systems
in Environmental Protection
.................. 71
2.1
Monitoring and Control Systems
.............. 71
2.2
Information Systems
..................... 75
2.3
Evaluation and Interpretation Systems
........... 75
2.4
Decision Support Systems
.................. 75
2.5
Environmental Information Systems
............. 75
3
Requirements of Visualization Systems
............... 76
4
Methods and Applications
...................... 77
4.1
Data Analysis and Control in Monitoring Systems
..... 77
4.2
Information Systems
..................... 79
4.3
Scattered Data Methods
................... 79
4.4
Particle Flow Visualization and Animation
......... 80
4.5
Groundwater Protection and Finite Element Methods
... 80
4.6
Intelligent User Interfaces in Process Control
........ 80
5
Conclusions
.............................. 80
References
.................................. 82
Data Structures in Scientific Visualization
Ulrich Lang,
Michel Grave
........................... 85
1
Introduction
.............................. 8-ї
2
Computer Based Problem Handling
................. *■ >
2.1
The Modeling Phase
..................... 87
2.2
The Simulation Phase
....................
s
2.3
The Evaluation Phase
....................
>s
3
Data Types of Dependent Variables
................. 88
3.1
Basic Data Types
....................... 88
3.2
Dimensionality of Dependent Variables
........... 89
3.2.1
Scalar Fields
.................... 89
3.2.2
Vector Fields
.................... 89
3.2.3
Tensor Fields
.................... 90
4
Coordinate Systems
.......................... 90
5
Connectivity
.............................. 90
5.1
Cartesian Grids
........................ 91
5.2
Uniform Grids
......................... 92
5.3
Rectilinear Grids
....................... 92
5.4
Regular Grids
......................... 92
5.5
Block-Structured Grids
.................... 93
5.6
Irregular Grids
........................ 93
5.7
Hybrid Grids
......................... 93
5.8
Scattered Locations
...................... 94
6
Zone Data
............................... 94
7
Auxiliary Information
......................... 94
8
Relationship between Data Sets
................... 95
9
Consideration of Time
........................ 97
9.1
Handling of Time Information
................ 97
9.1.1
Fixed Time Step Size
............... 97
9.1.2
Variable Time Step Size
.............. 97
9.2
Time Dependence of Data
.................. 98
9.3
Time Dependence of Grids
.................. 98
9.4
Time Dependence of Connectivity
.............. 98
9.5
Different Time Steps in Separate Parts
........... 98
10
Data Structures in Different Software Packages
........... 98
10.1
The Irregular Grid Approach
................ 99
10.2
Differentiated Data Structure Approach
.......... 99
11
Application Package Independent Data Access Software
...... 100
12
Conclusions
.............................. 101
References
.................................. 101
A Visualization-Based Model
for a Scientific Database System
Ted M. Sparr. R. Daniel Bergeron.
Loren
D.
Meeker
............ 103
1
Introduction
.............................. 103
2
A Paradigm for Interdisciplinary Scientific Research
........ 105
3
Nature
of Scientific Data
....................... 106
3.1
Lattice-Oriented Data
.................... 107
3.2
Relationships Among Data
.................. 107
3.3
Data and Models of Data
.................. 108
3.4
Meaning of Updates
..................... 108
3.5
Related Database Developments
............... 109
4
Nature of Scientific Data Visualization
............... 110
4.1
Traditional Visualization Techniques
............ 110
4.2
Multi-Dimensional Data Visualization
............ 110
4.3
Systems for Scientific Data Visualization
..........
Ill
5
Toward a Target Scientific Database System
............ 112
5.1
Terminology
.......................... 113
5.2
Metadata
........................... 114
5.3
Schema Model
......................... 114
5.4
Schema Evolution
....................... 115
5.5
Bridge to Knowledge Based Systems Technology
...... 115
5.6
Project Overview
....................... 116
6
Conclusion
............................... 118
References
.................................. 119
Volume Synthesis Principles
Arie E.
Kaufman
................................ 123
1
Background
.............................. 123
2
Motivation
............................... 125
3
Voxelization Algorithms
....................... 129
4
Discrete Ray Tracing
......................... 131
5
Concluding Note
........................... 132
References
.................................. 132
Surface Interpolation from Cross Sections
Heinrich Müller,
Arnold Klingert
....................... 139
1
Introduction
.............................. 139
2
Topological Reconstruction
...................... 143
2.1
Assignment Graphs and Nesting Trees
........... 143
2.2
Enumeration of Assignment Graphs
............. 145
2.3
Similarity of Contours
.................... 150
2.4
Mutual Location of Contours
................ 151
3
Geometric Reconstruction
...................... 152
4
Triangulated Surfaces
......................... 154
4.1
Point Reduction
........................ 154
Xli ------------------------------------------------------------------------------------------------------------------------------------
4.2 Cylindric Triangulation.................... 154
4.3
Saddle Point
Triangulation.................. 156
4.4
Extremal Points
........................ 159
4.5
Penetrations
.......................... 159
4.6
Quality of
Triangulations
................... 160
4.6.1
Measure Criteria
..................160
4.6.2
Shape Criteria and Deformation
..........163
4.7
Intermediate Layers
......................167
5
Pyramidal Extrapolation
....................... 167
6
Smooth Surface Interpolation
.................... 169
7
Volume Oriented Reconstruction
................... 170
8
Interpolation by Spatial Delaunay
Triangulations
......... 170
9
Reconstruction with Spatial Grids
.................. 175
10
Acquisition of Data
.......................... 178
11
Interaction
............................... 179
11.1
Segmentation
.........................180
11.2
Topological Assignment
...................180
11.3
Deformation
..........................181
11.4
Triangulation
.........................183
12
Concluding Remarks
.........................184
References
..................................185
Modeling and Visualizing Volumetric
and Surface-on-Surface Data
Gregory M. Nielson
...............................191
1
Introduction
..............................191
2
Data
..................................192
2.1
Pressure on a Wing Example
................ 192
2.2
CAT Scan Data Example
.................. 194
2.3
Precipitation on Earth Data Example
............ 194
2.4
Temperature Analysis Data Example
............ 195
2.5
Flame Data Example
..................... 195
2.6
Well Log Data Example
................... 196
2.7
Brain Data Example
..................... 196
2.8
Spatial Sound Data Example
................ 197
2.9
Summary of Data Examples
................. 197
3
Visualization Methods
........................ 198
3.1
Techniques for Visualizing Volumetric Models
....... 198
3.1.1
Domain Decomposition Methods
.........198
3.1.2
Slice Methods
....................200
——--------------------—-------------------------------------------------------------------------
хш
3.1.3
Contour
Methods
.................. 201
3.1.4
Volume Rendering (Ray Casting) Methods
.... 207
3.1.5
Volume Interrogation Techniques
......... 211
3.2
Techniques for Visualizing Surface-on-Surface Models
. . . 213
4
Modeling Methods
..........................217
4.1
Distance Function Approach
.................220
4.1.1
Volumetric Data
..................220
4.1.2
Surface-on-Surface Data
..............225
4.2
Piecewise Hermite Approach
.................228
4.2.1
Surface-on-Surface Data
..............233
4.2.2
Volumetric Data
..................237
References
..................................240
Curve and Surface Interrogation
Hans
Hagen, Stefanie Hahmann,
Thomas
Schreiber,
Ernst Gschwind, B.
Wördenweber,
Y.
Nakajima
...............243
1
Introduction
.............................. 243
2
Reflection Line Method
........................ 243
3
Isophotes
............................... 244
4
Orthotomics
.............................. 247
5
Polarity Method
............................ 249
6
Focal Surfaces
............................. 252
References
.................................. 256
Sorting for Polyhedron Compositing
Nelson L. Max
.................................259
1
Polyhedron Compositing
.......................259
2
A General Sorting Algorithm
....................260
3
Adaptive Mesh Refinement
......................261
4
Sorting for the AMR Method
....................262
5
Interpolation and Contour Surfaces
.................262
6
Sorting for Cloud Visualization
...................263
7
Results
.................................266
References
..................................268
Joining Volume with Surface Rendering
Martin
Frühauf.................................269
1
Introduction
..............................269
2
Converting Data
...........................272
2.1
Converting Volume Data into Polygonal Data
.......272
2.2
Converting Polygonal Data into Volumetric Data
.....273
3
Combining Rendering Methods
...................274
3.1
Hybrid Ray Tracer
......................275
3.2
Rendering Volumetric Data in Molecular Systems
.....275
3.3
Hybrid Rendering of Volume Data and Polygons
......279
3.4
Combining Volume with Line and Surface Rendering
. . . 279
3.4.1
Architecture of the System
............280
3.4.2
Common Parameters
................281
3.4.3
Transformations and Coordinate Systems
.... 282
3.4.4
Requirements on Volume Rendering
.......283
3.4.5
The Volume Rendering Algorithm
........284
3.4.6
Rendering of Geometrically Defined Objects
. . . 288
3.4.7
Geometry Rendering in Hardware
.........288
3.4.8
Merging Image Space Elements
..........288
3.5
Z-Buffer Merging
.......................289
4
Applications
-
Two Examples
....................290
References
..................................291
The Volume Priority Z-Buffer
Rolf-Hendrik
van
Lengen............................293
1
Introduction
.............................. 293
2
Overview of the Algorithm
...................... 295
3
Projection Strategy
.......................... 296
4
Block Processing
........................... 298
4.1
Determination of the Convex Hull
..............298
4.2
Scan-Conversion of the Convex Hull
.............298
4.3
Visualizing the Volumetric Data
...............300
4.3.1
Color Intensity Determination
...........300
4.3.2
The z-Buffer
....................301
5
Conclusion
...............................302
References
..................................302
A Fourier Technique for Volume Rendering
Tom Mabbender, Fred Kitson
.........................305
1
Introduction
.............................. 305
2
Fourier Projection-Slice Theorem
.................. 306
3
Fourier Volume Rendering
...................... 306
4
Data Shifting
............................. 308
5
Resampling Implementation Details
................. 308
6
Zero Padding and Premultiplication
................. 311
7
Resampling Rate
........................... 311
8
Conclusion
............................... 314
References
.................................. 315
An Improved Shading Algorithm
for Radiosity Based Renderers
Philip Jacob
................................... 317
1
Introduction
.............................. 317
2
Rendering
............................... 317
2.1
Linear Interpolation
..................... 317
2.1.1 Mach
bands
..................... 317
2.1.2
Loss of Diffuse Highlights
............. 318
2.2
The Perfect Solution
.................... 319
2.3
Vector Form Factors
..................... 319
2.4
An Improved Interpolation Technique
............ .321
3
Comparisons
.............................. 322
4
Results
................................. 323
5
Implementation
............................ 323
References
.................................. 324
Some Annotations on X-ray Tracing
Alfred
Schmitt, Achim Stößer......................... 325
1
Introduction
.............................. 325
2
Underlying Principle
......................... 325
2.1 Vera
Geometry
........................ 326
2.2
Color of an Object at the Target Point
........... 327
3
X-ray Tracing Stills
.......................... 328
3.1
Enhanced Edges
....................... 328
3.2
Texture
............................ 329
3.3
Miscellaneous Effects
..................... 329
3.4
Animated X-ray Traced Images
............... 330
References
.................................. 335
Auditory Representation of Scientific Data
Stuart Smith
.................................. 337
1
Introduction
.............................. 337
2
Technical Considerations
....................... 338
3
Sensory and Perceptual considerations
............... 339
4
Experiments in Auditory Data Representation
........... 339
5
Systems for Research in Auditory Data Representation
...... 341
6 Evaluation
of Auditory Data Representations
...........342
7
Summary and Conclusions
......................342
References
..................................343
Color Illustrations
..............................347
1
Fluid Flow Visualization
.......................347
2
Volume Visualization in Medicine: Techniques and Applications
. 352
3
Application of Visualization in Environmental Protection
.....356
4
Data Structures in Scientific Visualization
.............357
5
A Visualization-Based Model for a Scientific Database System
. . 358
6
Visualizing Volumetric and Surface-on-Surface Data
........362
7
Curve and Surface Interrogation
...................365
8
Sorting for Polyhedron Compositing
.................366
9
Joining Volume with Surface Rendering
...............367
10
An Improved Shading Algorithm for Radiosity Based Renderers
. 368
Index
......................................369
|
| any_adam_object | 1 |
| building | Verbundindex |
| bvnumber | BV006126907 |
| callnumber-first | Q - Science |
| callnumber-label | Q175 |
| callnumber-raw | Q175 |
| callnumber-search | Q175 |
| callnumber-sort | Q 3175 |
| callnumber-subject | Q - General Science |
| classification_rvk | ST 300 |
| classification_tum | DAT 758f |
| ctrlnum | (OCoLC)26723106 (DE-599)BVBBV006126907 |
| dewey-full | 502.85/66 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 502 - Miscellany |
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| dewey-search | 502.85/66 |
| dewey-sort | 3502.85 266 |
| dewey-tens | 500 - Natural sciences and mathematics |
| discipline | Allgemeine Naturwissenschaft Informatik |
| format | Book |
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| genre | (DE-588)1071861417 Konferenzschrift gnd-content |
| genre_facet | Konferenzschrift |
| id | DE-604.BV006126907 |
| illustrated | Illustrated |
| indexdate | 2024-07-09T16:40:42Z |
| institution | BVB |
| isbn | 3540549404 0387549404 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-003871417 |
| oclc_num | 26723106 |
| open_access_boolean | |
| owner | DE-739 DE-898 DE-BY-UBR DE-12 DE-20 DE-91G DE-BY-TUM DE-29T DE-19 DE-BY-UBM DE-706 DE-522 DE-83 DE-525 DE-188 |
| owner_facet | DE-739 DE-898 DE-BY-UBR DE-12 DE-20 DE-91G DE-BY-TUM DE-29T DE-19 DE-BY-UBM DE-706 DE-522 DE-83 DE-525 DE-188 |
| physical | XX, 379 S. Ill., graph. Darst. |
| publishDate | 1993 |
| publishDateSearch | 1993 |
| publishDateSort | 1993 |
| publisher | Springer |
| record_format | marc |
| series2 | Computer graphics: systems and applications |
| spelling | Focus on scientific visualization H. Hagen ... (eds.) Berlin u.a. Springer 1993 XX, 379 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Computer graphics: systems and applications Visualisatie gtt Naturwissenschaft Science Methodology Visualization Technique Computergrafik (DE-588)4010450-3 gnd rswk-swf Technik (DE-588)4059205-4 gnd rswk-swf Naturwissenschaften (DE-588)4041421-8 gnd rswk-swf Visualisierung (DE-588)4188417-6 gnd rswk-swf Information und Dokumentation (DE-588)4026901-2 gnd rswk-swf (DE-588)1071861417 Konferenzschrift gnd-content Visualisierung (DE-588)4188417-6 s Technik (DE-588)4059205-4 s DE-604 Information und Dokumentation (DE-588)4026901-2 s Computergrafik (DE-588)4010450-3 s Naturwissenschaften (DE-588)4041421-8 s Hagen, Hans Sonstige oth Digitalisierung TU Muenchen application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=003871417&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Focus on scientific visualization Visualisatie gtt Naturwissenschaft Science Methodology Visualization Technique Computergrafik (DE-588)4010450-3 gnd Technik (DE-588)4059205-4 gnd Naturwissenschaften (DE-588)4041421-8 gnd Visualisierung (DE-588)4188417-6 gnd Information und Dokumentation (DE-588)4026901-2 gnd |
| subject_GND | (DE-588)4010450-3 (DE-588)4059205-4 (DE-588)4041421-8 (DE-588)4188417-6 (DE-588)4026901-2 (DE-588)1071861417 |
| title | Focus on scientific visualization |
| title_auth | Focus on scientific visualization |
| title_exact_search | Focus on scientific visualization |
| title_full | Focus on scientific visualization H. Hagen ... (eds.) |
| title_fullStr | Focus on scientific visualization H. Hagen ... (eds.) |
| title_full_unstemmed | Focus on scientific visualization H. Hagen ... (eds.) |
| title_short | Focus on scientific visualization |
| title_sort | focus on scientific visualization |
| topic | Visualisatie gtt Naturwissenschaft Science Methodology Visualization Technique Computergrafik (DE-588)4010450-3 gnd Technik (DE-588)4059205-4 gnd Naturwissenschaften (DE-588)4041421-8 gnd Visualisierung (DE-588)4188417-6 gnd Information und Dokumentation (DE-588)4026901-2 gnd |
| topic_facet | Visualisatie Naturwissenschaft Science Methodology Visualization Technique Computergrafik Technik Naturwissenschaften Visualisierung Information und Dokumentation Konferenzschrift |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=003871417&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT hagenhans focusonscientificvisualization |