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B.06 Research and Teaching in Graphics

B.06 Research and Teaching in Graphics Christoph M. Hoffmann, PI Research Team: John Turek, Vet Richard Borgens, Vet Paul Robinson, Biol Elisha Sacks, CS, Viz Ctr C. Bajaj, CS, Texas J. Peters, CS, Florida The Situation in early 1997 Predominantly Sun and SGI workstations

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B.06 Research and Teaching in Graphics

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  1. B.06Research and Teaching in Graphics Christoph M. Hoffmann, PI Research Team: John Turek, Vet Richard Borgens, Vet Paul Robinson, Biol Elisha Sacks, CS, Viz Ctr C. Bajaj, CS, Texas J. Peters, CS, Florida

  2. The Situation in early 1997 • Predominantly Sun and SGI workstations • Graphics synonymous with SGI • PCs perceived as low-end word processor and spread sheet tools • Our colleagues swore by Unix • Intel stock in $15 - $20 range

  3. Teaching Lab (CS 175) (Hoffmann) • 1997: Eight graphics PC, a server • Hosting CS 435, Undergraduate Graphics • 1997 – using J++ • 1998 – and beyond: using OpenGL and Glut

  4. Summary: PC Graphics • In 1997, a radical suggestion • Today, an accepted reality: • Students increasingly on PCs • Work also on their own machines • Competent, well-priced hardware

  5. Research • Mechanism Analysis (Sacks) • Situation Awareness (Hoffmann) • Extra-Cellular Matrix (Robinson) • Cristal Lab (Turek) • Other projects • Image analysis and model extraction • Animating algorithms for teaching • Parametric design, and more

  6. Mechanism Analysis (Sacks) • Configuration space analysis of mechanisms with intermittent contact (C-space) • Highly visual • Identifies why a design works or doesn’t • Applications: • MEMS • Automotive • Consumer goods

  7. Geneva Mechanism Intermittent motion: C-space diagrams show why bottom designs fail

  8. MEMS Applications Weapons assurance device: C-space eliminates build-and-bust approach used before

  9. Automotive Applications Automatic transmission analyzed for Ford

  10. Consumer Goods Application Film advancement mechanism analyzed for Fuji

  11. Situation Awareness (Hoffmann) • Visualization and motion of large numbers of platforms • Geometric analysis to extract mission critical information • Pre-attentive information presentation to military decision makers

  12. A Tight Spot

  13. Proximity Analysis with underlying data structures

  14. Extracellular Matrix (Robinson) • Collagen matrix that hosts the cells • Special tissue synthesis • Confocal imagery to analyze tissue

  15. Structure extraction and representation using the medial axis transform

  16. Lab John TurekChandrajit Bajaj, Richard Borgens Core Laboratory for Image Analysis & Multidimensional Applications: Division of the Purdue Center for Image Analysis & Data Visualization Basic Medical Sciences School of Veterinary Medicine

  17. Research • Implementation of a multiresolution client-server environment for fast navigation and search of high-resolution image databases (JJ Turek, CA Bouman-Electrical and Computer Engineering) • 3D visualization and quantification of the effects of IGF-1 on the morphology of chick embryo leg muscles. (J McCleerey; IU School of Medicine, JJ Turek, P Mitchell, K Hannon; Basic Medical Sciences) • Analysis of hair texture as a corollary to health using scanning electron microscopy and wavelet decomposition analysis. (JJ Turek)

  18. Predictive pre-fetching Increase/decrease region in the wavelet resolution domain Buffered client data X-Y translation within image database Server Viewed image image on client data Model of dynamic navigation and browsing of high-resolution image database via pre fetching and warping-decompression

  19. 95% Visualization of metadata attributes using Bayesian probability estimates to locate desired image features 5% Fast metadata visualization performed prior to full resolution search and Example feature extraction Region Metadata Full resolution search extraction Sample region Metadata visualization as an aid to searching a high-resolution image database on server found in search

  20. In Conclusion • Equipment put to good use • Important support for our teaching and research • Would like to ask you again…

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