Presented by Omer Shakil 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 Coherent Temporal Behavior [Caspi and Irani, 2001 and 2002]

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

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.

Inter Camera Homography 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 Inter Frame Transformations Inter Camera Homography Frame Registration Aligned Sequences

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