FIG Peer Review Journal


Automated Object Reconstruction and Modelling via Multi-Image Close-Range Photogrammetry (4393)

Ida Jazayeri, Simon Cronk and Clive Fraser (Australia)
Prof. Clive Fraser
Dept. of Geomatics
University of Melbourne
Dept. of Geomatics
University of Melbourne
Corresponding author Prof. Clive Fraser (email: c.fraser[at], tel.: + 61 411 453 726)

[ abstract ] [ paper ] [ handouts ]

Published on the web 2010-01-14
Received 2009-11-19 / Accepted 2010-01-14
This paper is one of selection of papers published for the FIG Congress 2010 in Sydney, Australia and has undergone the FIG Peer Review Process.

FIG Congress 2010
ISBN 978-87-90907-87-7 ISSN 2308-3441


Automated object surface reconstruction via feature-based matching is commonly employed in topographic and stereo close-range photogrammetry. However, it has rarely been employed in conjunction with the convergent photogrammetric network geometry that is commonly utilised for engineering surveys. This paper describes a new approach to 3D object reconstruction from highly convergent, multi-image networks, in which the very geometric diversity and redundancy that presents difficulties in area-based matching is a distinct advantage in the feature-based matching approach. Following an initial, automatic exterior orientation of the network, the FAST interest operator is employed to extract interest points, and an image-point correspondence determination is carried out to yield a dense, highly accurate 3D point cloud, which can subsequently be converted to a triangulated mesh and textured to high resolution and accuracy. The paper commences with a brief review of the recently developed FAST interest operator. The merits of image pre-processing via the Wallis filter are then outlined, after which the feature-based matching algorithm is discussed. The mesh generation and texturing processes are then reviewed. Examples of complex fully automatic 3D model generation in engineering surveying applications via the new approach are then discussed in order to highlight the method’s robustness, speed and accuracy.
Keywords: Photogrammetry; Engineering survey; Deformation measurement; Low cost technology