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IR Camera Mobile Device Color Projector Simulation for Tangible Objects Prediction

This project utilizes IR cameras, color projectors, and layout managers to simulate backgrounds and predict tangible object interactions through image capture and filtering techniques. The system involves the observation of images, foreground layout management, and ROI prediction using Kalman filtering for realistic scene smoothing. The simulation includes touch interactions, real and simulated backgrounds, and captures to enhance user experience.

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IR Camera Mobile Device Color Projector Simulation for Tangible Objects Prediction

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  1. Image Pool

  2. (a) (b)

  3. (a) (b)

  4. (a) (b) (c)

  5. ID=0 ID=1

  6. User Color Projector IR-Color Camera IR Projector IR Cameras

  7. (b) (a)

  8. IR Camera of Mobile Device IR Camera of Mobile Device Observed Image Observed Image IR Cameras IR Cameras Color Projector IR Projector Color Projector IR Projector Foregrounds Foregrounds Layout Manager Layout Manager First Frame Second Frame SimulatedBackground ROI ROI Simulated Background 1st Frame 2nd Frame

  9. IR Camera of Mobile Device Observed Image IR Cameras Color Projector IR Projector Foregrounds Layout Manager Initial Frame Simulated Background

  10. IR Camera of Mobile Device IR Camera of Mobile Device Observed Image Observed Image IR Cameras IR Cameras Color Projector Color Projector IR Projector IR Projector Foregrounds Foregrounds Layout Manager Layout Manager Second Frame SimulatedBackground First Frame ROI ROI Simulated Background

  11. IR Camera of Mobile Device Applications Real scene Smoothing IR Cameras KalmanFiltering Color Projector IR Projector Finger Touches Observed Image Foregrounds Layout Manager Simulated Background Tangible Objects ROI Prediction

  12. Simulated Background Capture Image Real Background

  13. RcTc RpTp RcpTcp

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