Multi-view object pose estimation from correspondence distributions and epipolar geometry
Rasmus Laurvig Haugaard,Thorbjorn Mosekjaer Iversen,Rasmus Laurvig Haugaard,Thorbjorn Mosekjaer Iversen
In many automation tasks involving manipulation of rigid objects, the poses of the objects must be acquired. Vision-based pose estimation using a single RGB or RGB-D sensor is especially popular due to its broad applicability. However, single-view pose estimation is inherently limited by depth ambiguity and ambiguities imposed by various phenom-ena like occlusion, self-occlusion, reflections, etc....
