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Examination and development of accurate auto calibration procedures for offline video augmented-reality

: Wang, S.
: Stricker, D.

Darmstadt, 2004, 69 pp.
Darmstadt, TU, Dipl.-Arb., 2004
Fraunhofer IGD ()
Perspective Transformations; camera calibration; fundamental matrix; projective geometry

Two images of a single scene are related by the epipolar geometry, which can be described by a fundamental matrix if images' internal parameters are unknown. It captures all geometric information contained in two images, and its determination is very important in many applications such as scene modelling, vehicle navigation and object reconstruction, which are widely used in Augmented Reality (AR) to enhance and augment the user's view with additional information generated from a computer model. In this work an introduction to the epipolar geometry is given, and a review of the current techniques for estimating the fundamental matrix and its optimization are provided. This report also discusses the implementation particularities and presents the results obtained by comparative tests with the application that I developed.