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Progress report

This report presents a systematic approach to estimating optimal parameters for finger touch detection through extensive sampling methods. It examines various finger sizes and touch pressures (hard/soft, vertical/oblique) to refine detection accuracy. The study employs exhaustive search techniques to adjust parameters and enhance detection precision. The workflow integrates advanced image processing techniques such as background subtraction and median filtering to improve foreground detection. Additionally, future work outlines areas for stabilizing finger detection and reducing noise interference.

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Progress report

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Presentation Transcript

  1. Progress report 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 timer 5 Finger touch position

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

  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 Camera1 IR camera2 Denoise Denoise Background Subtraction Undistortion Undistortion Normalize foreground Merge Into One image Smooth Connected component Image Processing Median Filter Finger analyze Finger detection Data association Send Data

  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

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