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Conference Papers Year : 2012

Object Detection and Pose Tracking for Augmented Reality: Recent Approaches

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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Dates and versions

hal-00751704 , version 1 (14-11-2012)

Identifiers

  • HAL Id : hal-00751704 , version 1

Cite

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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