Robust and Fast Motion Estimation for Video Completion

Shaodi You, Robby T. Tan, Rei Kawakami, Katsushi Ikeuchi
2013 IAPR International Workshop on Machine Vision Applications  
A motion estimation method for completing a video with large and consecutive damage is introduced. It is principally based on sparse matching and interpolation. First, SIFT, which is robust to arbitrary motion, is used to efficiently obtain sparse correspondences in neighboring frames. To ensure these correspondences are uniformly distributed across the image, a fast dense point sampling method is applied. Then, a dense motion field is generated by interpolating the correspondences. An
more » ... weighted explicit polynomial fitting method is proposed to achieve spatially and temporally coherent interpolation. In the experiment, quantitative measurements were conducted to show the robustness and effectiveness of the proposed method.
dblp:conf/mva/YouTKI13 fatcat:lqllr4qc2ngwhcef72mtpiyrxy