Accurate constrained pose estimation for small objects

Abstract

The paper proposes a novel method for accurate pose estimation of small objects. A range sensor is used to find object orientation that constraints a PnP solver. The method finds the global minimum of a cost function (as opposed to traditional PnP algorithms) in closed form. This approach was used to enable robust robotic operation with sub millimeter precision.