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Learn how to make your drawings come alive…

. COURSE: SKETCH RECOGNITION

reese-roberson
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Learn how to make your drawings come alive…

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  1. COURSE: SKETCH RECOGNITION Analysis, implementation, and comparison of sketch recognition algorithms, including feature-based, vision-based, geometry-based, and timing-based recognition algorithms; examination of methods to combine results from various algorithms to improve recognition using AI techniques, such as graphical models. Learn how to make your drawings come alive…

  2. Research Projects • Sketch-based Interfaces and Modeling: SBIM’08: • Annecy, France. • Deadline in February, 2008 • Free trip for any accepted papers

  3. Project Idea: Cusp/Corner Detection in Complex Shapes • Develop and implement a new corner detection algorithm that has improved recognition accuracy for complex fits. It must be fast and have greater accuracy than current methods.

  4. Multi-stroke primitive recognition • Extend the low level recognizers to be multi-stroke recognizers. Detail how things change. – How are they combined? How do you know when strokes should be combined?

  5. Compare Drawing Surfaces • Perform a user study on several drawing surfaces. See how the primitives are drawn differently on the different surfaces, and recognize them appropriately. Write up the differences and how one could shift

  6. Feature/Geometry Combo • Merging Rubing/Geometry Interpretations

  7. Constraint Recognizers

  8. LADDER UI • Needs some help.

  9. Generating descriptions/near misses

  10. Project Suggestions • Build a finite state machine recognizer for the computability class to easily draw and hand in their diagrams. • Build a physics drawing program that attaches to a design simulator (we have interactive physics 2005) • Build a fashion drawing program. You draw clothes on a person, and it puts them one the person.

  11. Project Ideas • Build a robot drawing and simulation program. You draw the robot and have a number of gestures to have it do different things • Gesture Tetris

  12. Project Suggestions • Use both rubine and geometrical methods in recognition • Develop new ways for editing. • Build new low level recognizers

  13. Strokes from Scanning

  14. Projects! • 2 types: • Cool application • Sketch front end to your own research system • Fun application to go on smart board/vis contest • Gesture Tetris • TAMU gesture-based map/directory info • Computability/Physics/EE/MechEng simulator • New recognition algorithm • Significant change to old techniques to make a new application

  15. Final Project Handin • Implementation… Build it… • In class Demonstration (5-10 minutes) • Previous work • Find at least 3 relevant papers (not read inc class) • Assign one for class to read, you lead short discussion • Test • Run your recognition system on data. • Find out what data you need (e.g., UML class diagrams) • Each student in class will supply others data • + Find 6 more people outside (to give 15 different people) • Paper • Introduction (why important) • Previous Work • Implementation • Results • Conclusion

  16. Improvement Ideas • Instead of testing the error, we test the improvement, if it is great enough, we add the vertex

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