Proceedings 18 th International Symposium CIPA 2001
Potsdam (Germany), September 18 - 21, 2001
IMAGE-BASED 3D ACQUISITION TOOL
FOR ARCHITECTURAL CONSERVATION
Joris Schouteden, Marc Pollefeys, Maarten Vergauwen, Luc van Gool
Center for Processing of Speech and Images, K.U.Leuven,
Kasteelpark Arenberg 10, B-3001 Leuven, Belgium
Tel. +32 16 321064; Fax +32 16 321723
Marc.Pollefeys@esat.kuleuven.ac.be
KEY WORDS: Photogrammetry, Architecture, Heritage Conservation, Image-based 3D Reconstruction, Dense Stereo
ABSTRACT
In this paper an image-based 3D acquisition tool is presented. The tool has been developed with architectural conservation in mind.
The proposed tool is developed as part of a project that aims at developing a technology that enables the operator to build up an
accurate three dimensional model - without too much repetitive work - starting from photos of the objects and measured reference co
ordinates. This model can in a later phase be used as a core for a multimedia database, to represent designs for interventions, or for
distribution to the wider public. The presented 3D acquisition tool is largely automated. A limited amount of interaction is used to
indicate the reference points in the images to allow global localization in world coordinates. These points are also used to simplify
the matching process so that wide baselines can be coped with. Depending on the number of reference points the camera needs to be
pre-calibrated or not. From this point on the approach automatically finds additional matches and refines the calibration. A globally
consistent estimate can be obtained through bundle adjustment. The next step consists of dense depth estimation based on stereo
matching. From the computed information a dense textured 3D surface reconstruction of the recorded structure is computed. The
tool also allows extracting 2D slices or pointing measurements. The results can be used both for measurements and for visualization
purposes.
1. INTRODUCTION
At this moment many architects involved in conservation still work in the traditional way. They use instrument based (theodolite,
total station, photogrammetry) or even hand-measured (tapes, plumb-bobs, levels...) survey methods. As many architects are shifting
towards computer-aided design for new buildings, they also try to apply these programs to renovation or conservation projects.
However, the number of tools available to accomplish the task of 'getting the existing building in the CAD program' is limited, and
mainly directed to 'translate' traditional methods to CAD (automatic import of full station co-ordinates, error-adjustment of
triangulation...). Based on a limited number of actually measured points, 2D plans and sections or a 3D model can be constructed.
This typically results in a very 'simplified' representation of the building, which is absolutely not in line with the high requirements
for conservation purposes.
The presented 3D acquisition tool is largely automated. A limited amount of interaction is used to indicate the reference points in the
images to allow global localization in world coordinates. These points are also used to simplify the matching process so that wide
baselines can be coped with. Depending on the number of reference points the camera needs to be pre-calibrated or not. From this
point on the approach automatically finds additional matches and refines the calibration. A globally consistent estimate can be
obtained through bundle adjustment. The next step consists of dense depth estimation based on stereo matching. A complete model
is obtained by combining the results of different disparity maps into a 3D reconstruction. The texture is extracted from the original
photographs. From the computed information a dense textured 3D surface reconstruction of the recorded structure is computed. The
tool also allows extracting 2D slices or pointing measurements. The results can be used both for measurements and for visualization
purposes.
The proposed tool is developed as part of a project that aims at developing a technology that enables the operator to build up an
accurate three dimensional model - without too much repetitive work - starting from photos of the objects and measured reference co
ordinates. This model can in a later phase be used as a core for a multimedia database, to represent designs for interventions, or for
distribution to the wider public (Nuyts 2001).
2. CALIBRATION
The first module allows to calibrate the camera and to compute the pose in world coordinates for the different views. For this purpose
the tool assumes the knowledge of 3d reference points measured by surveying methods as well as their projection in the imagery. As
a part of this tool an interface is provided for identifying the 3d reference points in the images. A snapshot of this interface can be
seen in Fig. 1. The reference points have been indicated in both images.