Enhancing motion field with OA-filter and alternative measurement

In this work, we introduce an alternative measurement to evaluate quality of flow field. We then present an alternative filter called OA-filter (Occlusion-Aware filter) which uses this measurement. It is integrated inside the solver to push the performance of the model in terms of accuracy and sharpness. The experiments show that the estimation result has been significantly improved. The method yields sharp flow field which is very useful for video processing, 3D reconstruction, video tracking, and moving object detection.