Real-Time augmented reality with occlusion handling based on RGBD images

Augmented Reality (AR) is one of the latest developments in human-computer interaction technology. It aims to generate illusions from seamless fusion of virtual objects and real world. Typical AR system requires two basic parts: Three-dimensional registration and real-virtual fusion. Occlusion handling is crucial for visual realism. To optimize visual realism, we generated a real-Time systematic architecture to operate occlusion handling. The architecture is based on RGBD images, and it consists of three parts: real-Time camera tracking system, 3D reconstruction system and AR fusion system. Specifically, we used a two-pass scheme strategy to execute the AR system. The first pass tracks camera poses timely at video rate, which allows the reconstruction results be updated and visualized correspondingly during the scanning. The second pass takes place simultaneously to handle occlusion between virtual objects and real scene according to camera pose. Finally, the render results of virtual objects and the color images are fused to generate AR contents. Our results indicate that this method is stable and precise for occlusion handling, and can effectively improve realism in AR system.