3D scanners and image acquisition systems are rapidly becoming more affordable
and allow to build highly accurate
models of real 3D objects in a cost- and time-effective manner. This tutorial
will present the potential of this
technology, review the state of the art in model acquisition methods, and will
discuss the 3D acquisition pipeline from
physical acquisition until the final digital model.
First, different optical scanning techniques (e.g. structured light
triangulation, time-of-flight approaches) will briefly be
presented. Other acquisition related issues including the design of the
scanning studio will be discussed and evaluated.
In the area of registration, we will consider both the problems of initially
aligning individual scans, and of refining this
alignment with variations of the Iterative Closest Point method. For scan
integration and mesh reconstruction, we will
compare various methods for computing, interpolating and approximating
surfaces. We will then look at various ways in
which surface properties such as color and reflectance can be extracted from
acquired imagery. Finally, we will
examine techniques for the efficient management and rendering of very large,
attribute-rich meshes, including methods
for the construction of simplified triangle-based representation and
sample-based rendering approaches