Improving Global Motion Estimation Using Texture Masks

Abstract

Global motion estimation (GME) is a critical step for image alignment, image registration, and sprite generation. Direct methods use all pixels to estimate the motion. Eliminating pixels for GME is important since it may reduce the processing time and may also help to obtain correct motion parameters. In this paper, we firstly consider using fixed masks to observe the performance of GME. Then, we generate and use texture masks to eliminate texture regions to improve the performance of GME. The texture regions may include water, grass, ground, sky, etc. Our results indicate that adapting suitable masks reduces the processing time and improves the correctness of GME.