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Object Detection and Pose Tracking for Augmented Reality: Recent Approaches

Hideaki Uchiyama 1 Eric Marchand 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 : This paper introduces recent progress on techniques of object detection and pose tracking with a monocular camera for augmented reality applications. To visually merge a virtual object onto a real scene with geometrical consistency, a camera pose with respect to the scene needs to be computed. For this issue, many approaches have been proposed in the literature. In this paper, we classify and summarize the recent trends of the solutions as a survey.
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Submitted on : Wednesday, November 14, 2012 - 9:38:24 AM
Last modification on : Thursday, January 20, 2022 - 4:20:29 PM
Long-term archiving on: : Friday, February 15, 2013 - 3:40:38 AM


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  • HAL Id : hal-00751704, version 1


Hideaki Uchiyama, Eric Marchand. Object Detection and Pose Tracking for Augmented Reality: Recent Approaches. 18th Korea-Japan Joint Workshop on Frontiers of Computer Vision (FCV), Feb 2012, Kawasaki, Japan. ⟨hal-00751704⟩



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