Pose Estimation for Augmented Reality: A Hands-On Survey

Eric Marchand, Hideaki Uchiyama, Fabien Spindler

Research output: Contribution to journalReview articlepeer-review

397 Citations (Scopus)


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.

Original languageEnglish
Article number7368948
Pages (from-to)2633-2651
Number of pages19
JournalIEEE Transactions on Visualization and Computer Graphics
Issue number12
Publication statusPublished - Dec 1 2016

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Computer Graphics and Computer-Aided Design


Dive into the research topics of 'Pose Estimation for Augmented Reality: A Hands-On Survey'. Together they form a unique fingerprint.

Cite this