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Skybox Photo Acquisition 204 Photos Homography Errors in estimation of homographies Homography-Rotation Relationship Idea Find the rotation of the camera for each photo Minimize the difference between measured homographies and


  1. Skybox

  2. Photo Acquisition

  3. 204 Photos

  4. Homography

  5. Errors in estimation of homographies

  6. Homography-Rotation Relationship

  7. Idea • Find the rotation of the camera for each photo • Minimize the difference between measured homographies and rotation-induced homographies

  8. Definition of distance between homographies

  9. Solving with Ampl • Input: coordinates of 9 transformed points for each pair of photos • Fixed parameter: Alpha (identical for all photos) • Variables: Rotation matrix of each photo (9 values), intermediate vars • Objective function: Sum of homography distances • Constraints: • Orthonormality • First rotation = identity • Intermediate constraints • Solver: Baron, Couenne

  10. Solving with Ceres Solver • Input: coordinates of 9 transformed points for each pair of photos • Fixed parameter: None • Variables: • Rotation of each photo in angle axis representation (3 values) • Alpha of each photo • Objective function: Sum of homography distances • Constraints: None • Solver: Dense Schur solver

  11. Display • Z-buffer • Interpolation

  12. Demo!

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