Pose Estimation for Augmented Reality: A Hands-On Survey

Eric Marchand, Hideaki Uchiyama, Fabien Spindler
2016 IEEE Transactions on Visualization and Computer Graphics  
Augmented reality (AR) allows to seamlessly insert virtual objects in an image sequence. In order to accomplish this goal, it is important that synthetic elements are rendered and aligned in the scene in an accurate and visually acceptable way. The solution of this problem can be related to a pose estimation or, equivalently, a camera localization process. This paper aims at presenting a brief but almost self-contented introduction to the most important approaches dedicated to vision-based
more » ... a localization along with a survey of several extension proposed in the recent years. For most of the presented approaches, we also provide links to code of short examples. This should allow readers to easily bridge the gap between theoretical aspects and practical implementations.
doi:10.1109/tvcg.2015.2513408 pmid:26731768 fatcat:bfjyhmasefcrvcihzit323hxou