  Augmented reality aims to enrich our real world by inserting 3D virtual
objects. In order to accomplish this goal, it is important that virtual
elements are rendered and aligned in the real scene in an accurate and visually
acceptable way. The solution of this problem can be related to a pose
estimation and 3D camera localization. This paper presents a survey on
different approaches of 3D pose estimation in augmented reality and gives
classification of key-points-based techniques. The study given in this paper
may help both developers and researchers in the field of augmented reality.
