Skip to Main content Skip to Navigation
Journal articles

Pose Estimation for Augmented Reality: A Hands-On Survey

Eric Marchand 1 Hideaki Uchiyama 2 Fabien Spindler 1
1 Lagadic - Visual servoing in robotics, computer vision, and augmented reality
CRISAM - Inria Sophia Antipolis - Méditerranée , Inria Rennes – Bretagne Atlantique , IRISA-D5 - SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE
Abstract : 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 camera 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.
Document type :
Journal articles
Complete list of metadata

Cited literature [156 references]  Display  Hide  Download
Contributor : Eric Marchand Connect in order to contact the contributor
Submitted on : Friday, December 18, 2015 - 2:09:26 PM
Last modification on : Wednesday, November 3, 2021 - 4:36:23 AM
Long-term archiving on: : Saturday, April 29, 2017 - 9:57:06 PM


Files produced by the author(s)



Eric Marchand, Hideaki Uchiyama, Fabien Spindler. Pose Estimation for Augmented Reality: A Hands-On Survey. IEEE Transactions on Visualization and Computer Graphics, Institute of Electrical and Electronics Engineers, 2016, 22 (12), pp.2633 - 2651. ⟨10.1109/TVCG.2015.2513408⟩. ⟨hal-01246370⟩



Les métriques sont temporairement indisponibles