FIG Peer Review Journal


3d Visualization Through Planar Pattern Based Augmented Reality (6814)

Styliani Verykokou and Babis Ioannidis (Greece)
Prof. Charalabos Ioannidis
National Technical University of Athens
9 Iroon Polytechniou St.
Corresponding author Prof. Charalabos Ioannidis (email: cioannid[at], tel.: 00302107722686)

[ abstract ] [ paper ] [ handouts ]

Published on the web 2014-03-21
Received 2013-11-15 / Accepted 2014-02-06
This paper is one of selection of papers published for the FIG Congress 2014 in Kuala Lumpur, Malaysia and has undergone the FIG Peer Review Process.

FIG Congress 2014
ISBN 978-87-92853-21-9 ISSN 2308-3441


Augmented reality is the scientific field that aims at an enhanced sense of the real world. Although it was first presented in the 1960s, actually in recent years it has begun to have practical applications on various fields and today arouses the interest of many researchers, scientists, as well as companies. The purpose of this paper is the presentation of an augmented reality application that allows the visualization of the three-dimensional anaglyph of a region. The application was developed through the use of methods and algorithms of photogrammetry and computer vision and is based on the recognition of an orthoimage of a region that is augmented with its digital terrain model on a computer screen. The SURF algorithm is used for the extraction of interest points in a photograph of the orthoimage and in every real world frame. The matched features between these images are geometrically verified by the RANSAC algorithm. The Levenberg-Marquardt optimization algorithm is used for the calculation of the homography between the matched images, pattern recognition is conducted and the camera exterior orientation for each frame is estimated. The latter, in combination with the camera intrinsic parameters, which are computed through a camera calibration procedure, leads to the augmentation of the real world scenes. The application indicates the very promising capabilities of augmented reality for the realistic visualization of the topography of an area and the detailed observation of the anaglyph, without the need of a three-dimensional printing of the terrain model.
Keywords: Geoinformation/GI; Cartography; Photogrammetry; Augmented reality; Computer vision; Features detection; Image matching