FUSEDAR: Adaptive Environment Lighting Reconstruction for Visually Coherent Mobile AR Rendering
Yiqin Zhao, Tian Guo · 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW) · 2022
Obtaining accurate omnidirectional environment lighting for high quality rendering in mobile augmented reality is challenging due to the practical limitation of mobile devices and the inherent spatial variance of lighting. In this paper, we present a novel adaptive environment lighting reconstruction method called FusedAR, which is designed from the outset to consider mobile characteristics, e.g., by exploiting mobile user natural behaviors of pointing the camera sensors perpendicular to the observation-rendering direction. Our initial evaluation shows that FusedAR achieves better rendering effects compared to using a recent deep learning-based AR lighting estimation system [8] and environment lighting captured by 360° cameras.