3D Scientific Visualization With Blender by Kent, Brian R. -- Read -- Imperial Library of Trantor

Index

Title Copyright Dedication Contents Preface Acknowledgments Author biography 1 Introduction

1.1 Visualization in the sciences 1.2 What is Blender? 1.3 Rendering engines 1.4 Community support 1.5 Types of data visualization in the sciences Bibliography

2 The interface and windowing set-up

2.1 Interface introduction

2.1.1 3D view port 2.1.2 Using the keyboard 2.1.3 Quad view 2.1.4 UV-view 2.1.5 Object tools toolbar 2.1.6 Transform toolbar 2.1.7 Data outliner 2.1.8 Properties panel 2.1.9 Animation time line

2.2 Windowing set-up for Python 2.3 Data types and Python modules 2.4 Python libraries Bibliography

3 Meshes, models and textures

3.1 Structure of 3D mesh objects

3.1.1 Example: building a simple model

3.2 2D materials and textures

3.2.1 Example: adding a texture to a sphere

3.3 3D materials and textures

3.3.1 Example: creating points for a 3D scatter plot 3.3.2 Example: creating a wireframe mesh

Bibliography

4 Lighting

4.1 Lighting and color selection in Blender

4.1.1 Example: how to illuminate simulated terrain 4.1.2 Material emission

Bibliography

5 Animation

5.1 Keyframes

5.1.1 Example: how to rotate and animate an object 5.1.2 Example: using the graph editor 5.1.3 Example: adding a cyclic modifier

5.2 Frame rates and rendering output

5.2.1 Output formats

5.3 Node compositing

6 Point of view: camera control

6.1 Projection differences: a matter of perspective 6.2 Camera keyframes

6.2.1 Example: tracking to an object 6.2.2 Example: an object following a path

Bibliography

7 Python scripting

7.1 Scripting in blender

8 Projects and 3D examples

8.1 3D scatter plot 8.2 N-body simulation 8.3 Magnetic fields 8.4 Lagrangian equilibrium and zero-velocity curves 8.5 Geophysics: planetary surface mapping 8.6 Volumetric rendering and data cubes 8.7 Physics module and rigid body dynamics Bibliography

Appendix A Blender keyboard shortcuts