1. By shooting

2. Optimal parameters estimation Sample collect Various finger size Hard press and soft press Exhaustive search

3. Optimal parameters estimation Sample Set Soft Vertical touch Hard Vertical touch Soft Oblique touch Hard Oblique touch Each touch Set Contains five fingers Thumb, index finger, middle finger, ring finger, little finger

4. Sample collection UI Hard/Soft vertical touch Finger touch position 5 timer

5. Sample collection UI Hard/Soft oblique touch Finger touch position 5 timer

6. Method Exhaustive search Test each parameter combination in each set Step Adjust parameters Detect finger touch Calculate precision and error rate

7. Todo Stabilize finger detection margin result not good enough Noise around finger Collect sample Exhaustive search program Merge Tag detection into new architecture

8. Flow chart IR Camera1IR camera2 Undistortion Merge Into One image Image Processing Background Subtraction Smooth Median Filter Normalize foreground Normalize foreground Finger detection Connected component Finger analyze Data association Send Data Denoise

9. Outline 1. Introduction 2. Related work 2.1 Vision-based approaches 2.1.1 FTIR 2.1.2 DI 2.2 Marker systems 3. System overview 3.1 Hardware Configuration 3.2 Software Architecture 4. System architecture 4.1 Touch Detection and Tracking 4.2 Finger Orientation Estimation (may be skip) 4.3 Automatic System Parameters Adjustment (Adaptive threshold) 4.4 Tabletop marker system 5. Performance evaluation 5.1 Experiment Design 5.2 Result 5.3 Discussion 6. Conclusion 7. Future work