CIPA 2005 XX International Symposium, 26 September - 01 October, 2005, Torino, Italy
802
MULTISCALE THREE-DIMENSIONAL SURVEYING FOR CONSERVATION TASKS:
A PILOT CASE FOR THE FUSION OF RANGE-SCANNING ON ARCHAEOLOGICAL
SITES
J.J.Femández-Martin 3 J.I.SanJosé 3 , M. Gonzalo b , J. Martinez 3 and J.Finat b
3 LFA-DAVAP, ETS Arquitectura, Univ. de Valladolid, 47014 Valladolid, Spain
b MoBiVA-DAVAP Group, Lab. 2.2, R+D Building, M.Delibes Campus, 47011 Valladolid, Spa,
juanjo@ega.uva.es, jesussanjose@usuarios.retecal.es, marga@infor.uva.es, jmr@ega.uva.es, jfinat@agt.uva.es.
KEY WORDS: Close range digital Photogrammetry, 3D Laser scanning, Cultural Heritage, Computer Graphics.
ABSTRACT
Integration of 3D data in digital photogrammetry is a challenge in solid object modelling and visualization of large scale scenes.
Geometric primitives are need for a robust management of large reduced scenes, and an accurate visualization based on dense
information is required for specific complex regions. Two complementary strategies for the fusion of high resolution digital
photogrammetry and laser scan are developed in this paper. The first one is oriented towards the generation of a 3D geometric model
based on a dense depth map linked to a large number of images. The second one is oriented towards the management of the whole
3D scene with an intelligent decreasing of the file size adapted to expected primitives. Our contribution is linked to the automatic
identification of geometric primitives, adaptation of warping techniques and the development of a voxelization with two levels of
detail. On the way, we develop some interfaces for the management of 3D information from CAD models and the connection
between unordered clouds of points and G1S data, relative to the environment with common geometric CAD primitives supported on
2D and 3D information. We illustrate this hybrid approach with the surveying of a Spanish medieval castle (Trigueros del Valle,
Valladolid) and a small chapel of the first gothic style in the monastère of Santa Maria de Valbuena (Valladolid), including a fusion
of discrete clouds of points captured with triangulation and time-of-flight 3d lasers.
1. INTRODUCTION
The fusion of information in a common 3d framework is a
challenge for the application of information technologies in
surveying Cultural Heritage. The combination of topographic
networks, ortophotos and laser-scans poses methodological and
functional problems for planning, capturing and processing
information to achieve a surveying with professional
requirements. Inputs from laser scans are given by unordered
clouds of 3d points, whereas inputs from high resolution views
are given by 2d pixels on the camera plane. High resolution
image-based approaches are focused towards matching 2d
views by means of some reconstruction method. In digital
photogrammetry, image-based approaches use colour properties
for surfaces and bundles adjustment for geometric primitives;
computer vision provides software tools for assisting the
reconstmction of 3D scenes [Hartley and Zisserman, 2000].
Fusion of image-ranging approaches to Archaeological
surveying has received attention in a high number of recent
works [Guidi et al 2003]. The adaptation of dense
reconstruction methodology to large datasets arising from laser
scans is an on-going research. In our case we work directly on
dense clouds arising from very large laser scanning files, with
software tools for superimposing geometric structures (meshes,
textures, PL or PS-surfaces) to clouds of points.
Surveying and visualization of large urban environments or
complex archaeological sites are typical problems where a
multirresolution approach is required; a large number of
contributions can be found in recent proceedings of CIPA
Symposia, and ISPRS Workshops, focused towards surveying
of Architectural and Archaeological Cultural Heritage. Large
scale GIS applications use geometric meshing for multiscale
rendering. Triangular Irregular Networks (TINs) provide a
flexible solution for multirresolution depending on the chosen
scale reduction [Berg et al, 2000]. However, large datasets
arising from laser scans requires the development of processing
tools for subdivision and re-grouping in 3d modelling. Both
processes modify substantially the superimposed meshed
structures. Smart meshing reduction depends on a hierarchy of
primitives from the coarsest level (topological, geometric) to the
finest one (architectural, topographic). On the other hand, direct
CAD modelling of urban environments is benefited from the
accurate and dense information capture arising from laser scans
[Sanjose et al, 2005]. The combination of global flexibility of
textured models with local accuracy of geometric primitives
requires the development of specific processing and
visualization software tools for satisfying flexibility of TINs
with robustness/accuracy of geometric primitives. To satisfy
both requirements, it is necessary to develop more flexible
software tools for 1) a coherent interpolation between identified
primitives, and 2) a compatible adaptability to adjacency
conditions for GIS applications.
There are mid-level computer vision software tools for the
scene interpretation (perspective models) in terms of piecewise-
1 inear or piecewise-smooth superimposed structures (normal
vectors to triangles, contours extraction, correspondingly). The
interpretation in terms of mid-level primitives requires a post
processing and a high human/computational cost. It is
commonly acknowledged that it would be desirable to obtain
such information from dense maps, in a more direct way. Some
work has been performed along last years for obtaining 3D
information from dense depth maps. Information management
by means of CAD software tools requires the design and
implementation of algorithms for subdividing clouds of points
according to their volumetric significance. In this work, we
develop an approach including volumetric subdivisions based in
grouping of tetrahedral decompositions fulfilling conditions
similar to Delaunay. Computer Graphics tools have been
applied for rendering large fortified environments from high
resolution views [Bacigalupo and Cesari, 2003]. Currently, we
develop interfaces for the management of 3d information with
different levels of detail, depending on the urban surveying or
archaeological visualization requirements for the insertion of
Computer Graphics tools in large scanned environments.
To achieve this goal, we have developed a hybrid approach with
two resolution levels which are labelled as coarse and fine,