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Smoothly Varying Affine Stitching [CVPR 2011]

Smoothly Varying Affine Stitching [CVPR 2011]. Ph.D. Student, Chang- Ryeol Lee February 10, 2013. Contents. Introduction Motivation Problem Related works Dynamosaics : Video Mosaics with Non-Chronological Time [CVPR 2005] Proposed method Smoothly Varying Affine Stitching [CVPR 2011]

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Smoothly Varying Affine Stitching [CVPR 2011]

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  1. Smoothly Varying Affine Stitching [CVPR 2011] Ph.D. Student, Chang-Ryeol Lee February 10, 2013

  2. Contents • Introduction • Motivation • Problem • Related works • Dynamosaics: Video Mosaics with Non-Chronological Time [CVPR 2005] • Proposed method • Smoothly Varying Affine Stitching [CVPR 2011] • Expeirments

  3. Introduction • Motivation • Typical camera FOV: 50˚ X 35˚

  4. Introduction • Motivation • Typical camera FOV: 50˚ X 35˚ • Human FOV: 200˚ X 135˚

  5. Introduction • Motivation • Typical camera FOV: 50˚ X 35˚ • Human FOV: 200˚ X 135˚ • Panoramic view: 360˚ X 180˚

  6. Introduction • Impressive

  7. Introduction • Problem • Usually generating using rotating the camera around the center of projection: The mosaic has a natural interpretation in 3D • The images are reprojected onto a common plane • The mosaic is formed on this plane

  8. PP1 PP2 synthetic PP Introduction • Problem: Changing Camera Center

  9. Introduction • Problem: Changing Camera Center Pics from Internet

  10. Related works • Dynamosaics: Video Mosaics with Non-Chronological Time [CVPR 2005] • ShmuelPeleg (Hebrew University, Israel) • Motivation • Satellites create panoramas by scanning • 1D sensor • Rotation & Translation • How can this idea be utilized?

  11. Related works • Push broom stitching t+1 t t+2

  12. Related works • Time-Space Cube • Align the images • Create Push-broom mosaics by combining the image pieces • Different Cuts can create different mosaics 1 2 3 4 5

  13. Related works • Push broom distortion • x-axis: Orthographic Projection • y-axis: Perspective Projection • y shrinks as Z increases, x doesn’t • Experimental result

  14. Proposed method • Smoothly Varying Affine Stitching [CVPR 2011] • Loong-Fah Cheong (NUS) • Work Assumption • Most scenes can be modeled as having smoothly varying depth • A global affine has general shape preservation

  15. Proposed method • System overview

  16. Proposed method • The affine stitching field

  17. Proposed method • Algorithm to compute stitching field • Input: • M Base image features • N Target image features • Global affine matrix • Output: • Converged affine matrix

  18. Proposed method • Algorithm to compute stitching field • Cost function • Notation • Affine parameters • Stitched feature points by

  19. Proposed method • Algorithm to compute stitching field • Cost function • Notation • Robust Gaussian mixture • Smoothness regularization : Fourier transform of : Fourier transform of Gaussian

  20. Proposed method • Algorithm to compute stitching field • Cost function • Minimization by EM style optimization • Estimated stitching field map

  21. Applications • Re-shoot

  22. Applications • Re-shoot

  23. Experiments • Panoramic stitching

  24. Experiments • Matching

  25. Thank you! • * This material is based on RazNossek‘s Image Registration & Mosaicing.

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