Pose Estimation for Augmented Reality: A Hands-On Survey

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 e...

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Bibliographic Details
Published in:IEEE transactions on visualization and computer graphics 2016-12, Vol.22 (12), p.2633-2651
Main Authors: Marchand, Eric, Uchiyama, Hideaki, Spindler, Fabien
Format: Article
Language:English
Subjects:
Acceptability
Augmented reality
Cameras
code examples
Computer Science
Equivalence
Homography
Inserts
keypoint matching
Localization
motion estimation
PnP
Pose estimation
Position (location)
Readers
Simultaneous localization and mapping
SLAM
Solid modeling
Survey
Three-dimensional displays
vision-based camera localization
Visual analytics
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Summary: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.
ISSN:1077-2626
1941-0506
DOI:10.1109/TVCG.2015.2513408