Analysis of camera pose estimation using 2D scene features for augmented reality applications

Authors: Meshkat Alsadat, Shabnam
Advisor: Laurendeau, Denis
Abstract: Augmented reality (AR) had recently made a huge impact on field engineers and workers in construction industry, as well as the way they interact with architectural plans. AR brings in a superimposition of the 3D model of a building onto the 2D image not only as the big picture, but also as an intricate representation of what is going to be built. In order to insert a 3D model, the camera has to be localized regarding its surroundings. Camera localization con-sists of finding the exterior parameters (i.e. its position and orientation) of the camera with respect to the viewed scene and its characteristics. In this thesis, camera pose estimation methods using circle-ellipse and straight line corre-spondences has been investigated. Circles and lines are two of the geometrical features that are mostly present in structures and buildings. Based on the relationship between the 3D features and their corresponding 2D data detected in the image, the position and orientation of the camera is estimated.
Document Type: Mémoire de maîtrise
Issue Date: 2018
Open Access Date: 3 July 2018
Grantor: Université Laval
Collection:Thèses et mémoires

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