Foreground and shadow occlusion handling for outdoor augmented reality

Abstract

Occlusion handling in augmented reality (AR) applications is challenging in synthesizing virtual objects correctly into the real scene with respect to existing foregrounds and shadows. Furthermore, outdoor environment makes the task more difficult due to the unpredictable illumination changes. This paper proposes novel outdoor illumination constraints for resolving the foreground occlusion problem in outdoor environment. The constraints can be also integrated into a probabilistic model of multiple cues for a better segmentation of the foreground. In addition, we introduce an effective method to resolve the shadow occlusion problem by using shadow detection and recasting with a spherical vision camera. We have applied the system in our digital cultural heritage project named Virtual Asuka (VA) and verified the effectiveness of the system.