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Vision Based 3D Tracking and Pose Estimation for Mixed Reality

Vision Based 3D Tracking and Pose Estimation for Mixed Reality

Pascal Fua, Vincent Lepetit
Copyright: © 2007 |Pages: 22
ISBN13: 9781599040660|ISBN10: 1599040662|ISBN13 Softcover: 9781599040677|EISBN13: 9781599040684
DOI: 10.4018/978-1-59904-066-0.ch001
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MLA

Fua, Pascal, and Vincent Lepetit. "Vision Based 3D Tracking and Pose Estimation for Mixed Reality." Emerging Technologies of Augmented Reality: Interfaces and Design, edited by Michael Haller, et al., IGI Global, 2007, pp. 1-22. https://doi.org/10.4018/978-1-59904-066-0.ch001

APA

Fua, P. & Lepetit, V. (2007). Vision Based 3D Tracking and Pose Estimation for Mixed Reality. In M. Haller, M. Billinghurst, & B. Thomas (Eds.), Emerging Technologies of Augmented Reality: Interfaces and Design (pp. 1-22). IGI Global. https://doi.org/10.4018/978-1-59904-066-0.ch001

Chicago

Fua, Pascal, and Vincent Lepetit. "Vision Based 3D Tracking and Pose Estimation for Mixed Reality." In Emerging Technologies of Augmented Reality: Interfaces and Design, edited by Michael Haller, Mark Billinghurst, and Bruce Thomas, 1-22. Hershey, PA: IGI Global, 2007. https://doi.org/10.4018/978-1-59904-066-0.ch001

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Abstract

Mixed Reality applications require accurate knowledge of the relative positions of the camera and the scene. When either of them moves, this means keeping track in real-time of all six degrees of freedom that define the camera position and orientation relative to the scene, or, equivalently, the 3D displacement of an object relative to the camera. Many technologies have been tried to achieve this goal. However, Computer Vision is the only one that has the potential to yield non-invasive, accurate and low-cost solutions to this problem, provided that one is willing to invest the effort required to develop sufficiently robust algorithms. In this chapter, we therefore discuss some of the most promising approaches, their strengths, and their weaknesses.

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