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Video Alignment

Video Alignment. Presented by Omer Shakil. Introduction. Problem Statement Alignment Techniques Direct-Based [Caspi and Irani, 2000 and 2002] Feature-Based [Stein, 1998] Best Frame Pair Search [Sand and Teller, 2004] Non-Overlapping Sequences

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Video Alignment

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  1. Video Alignment Presented by Omer Shakil

  2. Introduction • Problem Statement • Alignment Techniques • Direct-Based [Caspi and Irani, 2000 and 2002] • Feature-Based [Stein, 1998] • Best Frame Pair Search [Sand and Teller, 2004] • Non-Overlapping Sequences • Coherent Temporal Behavior [Caspi and Irani, 2001 and 2002]

  3. Algorithm [Caspi and Irani, 2002] • Video Sequences S and S’ • Inter-Camera Homography • Inter-Frame Transformation Ti between Ii and Ii+1 • Derive or • Hence • Least Square Minimization

  4. Algorithm (continued) • Mi is a 9 x 9 matrix defined by Ti, T’i and si • Combining all the constraints • H = Eigen-vector of ATA corresponding to the smallest eigen-value.

  5. Inter Frame Transformations Inter CameraHomography Frame Registration Aligned Sequences Extension • Learning Phase • Recover Inter-Camera Homography • Free Camera Movement • Frame Registration • Reference Frame from the Learning Phase • Future Work • 3D Scenes • Synchronization Input Sequences

  6. Results - Finding Transformations [Bergen, et. al., 1992] Images Scaling Translation Rotation Actual Recovered

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