Head movement based temporal antialiasing for VR HMDs

Abstract

Inherent properties of VR HMDs cause degradation of visual quality which disrupts immersive VR experience. We identify a new temporal aliasing problem caused by unintended tiny head movement of VR HMD users. The images that users see slightly change, even in the case that the users intend to hold and concentrate on a certain part of VR content. The slight change is more perceivable, because the images are magnified by lenses of VR HMDs. We propose the head movement based temporal antialiasing approach which blends colors that users see in the middle of head movement. In our approach, the way to determine locations and weights of colors to be blended is based on head movement and time stamp. Speed of head movement also determines proportions of colors in the past and at present in blending. The experimental result shows that our approach is effective to reduce the temporal aliasing caused by unintended head movement in real-time performance.