Multi-view augmented reality for underground exploration

We propose a novel multi-view visualization technique, which allows effortless interaction with subterranean data and tries to maximize spatial perception whilst minimizing view clutter. The multi-view augmented reality technique introduces two correlating displays; i) a perspective egocentric view with focused edge overlay and focused geometry clipping and ii) an orthographic cut-away display that visualizes a thin slice of subterranean data intersecting a user controlled anchor.