Pose Estimation for Augmented Reality: A Hands-On Survey

Eric Marchand, Hideaki Uchiyama, Fabien Spindler

研究成果: Contribution to journalReview article査読

179 被引用数 (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.

本文言語英語
論文番号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
12
DOI
出版ステータス出版済み - 12 1 2016

All Science Journal Classification (ASJC) codes

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

フィンガープリント 「Pose Estimation for Augmented Reality: A Hands-On Survey」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル