Object Detection and Pose Tracking In Augmented Reality

Vipul P.Chauhan, Dr. Manish M. Kayasth

Abstract: These papers introduce technique for 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. AR Toolkit is software that provides the facility to create AR systems. This paper is study a fiducially marker based Augmented Reality system, the algorithms it uses and how it can be implemented.

Keywords: Augmented Reality AR, Detection, Tracking, Pose Estimation, Marker detection algorithms

How to Cite?: Vipul P.Chauhan, Dr. Manish M. Kayasth, "Object Detection and Pose Tracking In Augmented Reality", Volume 3 Issue 12, December 2014, International Journal of Science and Research (IJSR), Pages: 2623-2629, https://www.ijsr.net/getabstract.php?paperid=SUB141099, DOI: https://dx.doi.org/10.21275/SUB141099