1. 1 SIC / CoC / Georgia Tech MAGIC Lab http://www.gvu.gatech.edu/~jarekJarek Rossignac Scientific Visualization  CS4550 : http://www.gvu.gatech.edu/~jarek/lectures/  Jarek Rossignac  GVC areas  What is Scientific Visualization  Course objectives  Syllabus  Text book  Grading

2. 2 SIC / CoC / Georgia Tech MAGIC Lab http://www.gvu.gatech.edu/~jarekJarek Rossignac Blends Jarek (“Y-ah-r-eh-ck”) Rossignac (Rossignol + cognac) http://www.gvu.gatech.edu/~jarek  Maitrise M.E. & Diplome d’Engenieur ENSEM (Nancy, France)  PhD E.E. in Solid Modeling (U. of Rochester, NY)  IBM TJ Watson Research Center (11 years) –Senior manger: Visualization, Modeling, Graphics, VR –Visualization: Managed IBM Data Explorer (DX) product R&D –Simplification: 3D Interaction Acceleration (3DIX), OpenGL Accelerator –Geometry compression: VRLM, MPEG-4, awards (ACM TOG)  Georgia Institute of Technology (since 1996) –Professor, College of Computing, School of Interactive Computing –Director of GVU Center, 1996-2001 –Compression: Edgebreaker, Awards (IEEE TVCG) –Collaborations: Sweeps (Korea), IsoSurfaces (Spain), Shape Features (Italy), Surgery planning (Emory) 3D morphs T=T+T+T Simplification Compression Sweeps SilhouettesInterference

3. 3 SIC / CoC / Georgia Tech MAGIC Lab http://www.gvu.gatech.edu/~jarekJarek Rossignac Geometric and Visual Computing areas  Computer Aided Geometric Design (CAGD): Curves/surfaces  Solid Modeling: Representations and Algorithms for solids  Computational Geometry: Provably efficient algorithms  Computer-Aided Design (CAD): Automation of Shape Design  Reverse Engineering: Fitting surfaces to scanned 3D points  Computer-Aided Manufacturing (CAM): NC Machining  Finite Element Meshing (FEM): Construction and simulation  Animation: Capture, Design, Simulation of shape behavior  Visualization: Graphical interpretations of (large) nD datasets  Rendering: Making (realistic) pictures of 3D geometric shapes  Image-Based Rendering (IBR): Mix images and geometry  Computer Vision: Reconstruction of 3D models from images  Virtual Reality (VR): Immersion in interactive environments  Augmented Reality (AR): Track and mark-up what you see

4. 4 SIC / CoC / Georgia Tech MAGIC Lab http://www.gvu.gatech.edu/~jarekJarek Rossignac What is Scientific Visualization Modeling: Represent shapes in a computer Rendering: Make (realistic) pictures of shapes combined with textures, reflectance properties, lighting conditions… Visualization: Display information so as to reveal relevant meaning/correlation Scientific: Data is situated (in space and/or time) and often represents scalar or vector fields (measured or computed) Scientific Visualization: Analyze these scientific data fields, map their properties into shapes and photometric attributes, and render them in a way that reveals important characteristics Pushes boundaries of modeling and rendering (GPU)

5. 5 SIC / CoC / Georgia Tech MAGIC Lab http://www.gvu.gatech.edu/~jarekJarek Rossignac Course objectives  Master tools (math, alg, hardware) for Sci Vis  Expand algorithmic problem-solving abilities  Practice communication and teamwork skills  Learn how to find/read publications in the field  Develop a taste for research  Have some fun

6. 6 SIC / CoC / Georgia Tech MAGIC Lab http://www.gvu.gatech.edu/~jarekJarek Rossignac Syllabus Intro: Processing, plotting, exaggeration. Project 1: compare plots Perception: Acuity, Color, Contrast, Optical illusions, Curvature, Motion Terrains: Terrain rendering and editing. Project 2: compare terrains Depiction: Surface, Color-coding, Iscocurves, Isoclines, Gradient, Silhouettes Comparison: Discrepancy, Average, Exaggeration, Animation, Registration Filtering: Noise reduction, Smoothing, Exaggeration, Local shape analysis Segmentation:Thresholding, Histograms, Snakes, Level-sets, Pearling Volvis: Volume visualization, Translucency, Hardware assist Exploration: View control, Fly-through, Cross-sections, Cut-out, Peeling Isosurfaces: Local Extraction, Consistency, Tracing, Crust Flow: Vector fields, Flow visualization Animation: IsoSurfaces, Flow, Vibrations Tetrahedra: Tetrahedra, Representation, Simplification, Compression Multiresolution: Subsample, Simplify, Refine Transmission: Quantise, Predict, Entropy codecs, Streaming, Visibility order nD: Time-varying volumes, Higher-dimensional fields, Parallel coordinates,

7. 7 SIC / CoC / Georgia Tech MAGIC Lab http://www.gvu.gatech.edu/~jarekJarek Rossignac Text books Main:  Schroeder, Martin, and Lorensen, The Visualization Toolkit - An Object- Oriented Approach To 3D Graphics, 4th edition, 520 pages, ISBN 1-930934- 07-6, Kitware, Inc. publishers.  Engel et al., Real-time Volume Graphics, Course Notes 28, ACM SIGGRAPH 2004 Additional:  Hansen and Johnson, The Visualization Handbook, ISBN: 0-12-387582-x, 984 pages, Elsevier, 2004.  Nielson, Mueler, and Hagen, Scientific Visualization: Overviews, Methodologies, and Techniques, 577 pages, IEEE Press, 1997.

8. 8 SIC / CoC / Georgia Tech MAGIC Lab http://www.gvu.gatech.edu/~jarekJarek Rossignac Grading  40% Projects (code and reports) + extra credit opportunities –50% for implementation Documented source code Running implementation that meets the specs Elegance (conciseness) of the implementation Extra points: Additions, Extensions, Improvements –50% for presentation Web page with detailed (yet concise) explanations, Answers to theoretical and algorithmic questions, Clarity of text, figures, videos Choice of test cases illustrating the functionality References and links to material used for inspiration Extra points: Research questions and ideas, Links to useful sites  15% Quizzes (in class, closed books)  15% Midterm (in class, closed books, 1 page cheat-sheet)  30% Final (in class, closed books, 1 page cheat-sheet) –Covers whole course, readings, and projects