Pose Estimation for Augmented Reality

A Hands-On Survey

Eric Marchand, Hideaki Uchiyama, Fabien Spindler

研究成果: ジャーナルへの寄稿評論記事

96 引用 (Scopus)

抄録

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.

元の言語英語
記事番号7368948
ページ(範囲)2633-2651
ページ数19
ジャーナルIEEE Transactions on Visualization and Computer Graphics
22
発行部数12
DOI
出版物ステータス出版済み - 12 1 2016

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Augmented reality
Cameras

All Science Journal Classification (ASJC) codes

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

これを引用

Pose Estimation for Augmented Reality : A Hands-On Survey. / Marchand, Eric; Uchiyama, Hideaki; Spindler, Fabien.

:: IEEE Transactions on Visualization and Computer Graphics, 巻 22, 番号 12, 7368948, 01.12.2016, p. 2633-2651.

研究成果: ジャーナルへの寄稿評論記事

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