Learning View Selection for 3D Scenes

We present a method that optimizes max-coverage camera placement based on learning. Given the real scene model with the areas of interest (marked as black blocks) that require to be covered by a set of cameras, we learn a continuous scoring function and apply continuous optimization on camera poses to improve the global coverage score. In this figure, the red area in the top view of a scene indicates that the coverage increases after optimization.