  Recently, there has been an increase in the demand of virtual 3D objects
representing real-life objects. A plethora of methods and systems have already
been proposed for the acquisition of the geometry of real-life objects ranging
from those which employ active sensor technology, passive sensor technology or
a combination of various techniques.
  In this paper we present the development of a 3D scanning system which is
based on the principle of structured-light, without having particular
requirements for specialized equipment. We discuss the intrinsic details and
inherent difficulties of structured-light scanning techniques and present our
solutions. Finally, we introduce our open-source scanning software system
"3DUNDERWORLD-SLS" which implements the proposed techniques both in CPU and
GPU. We have performed extensive testing with a wide range of models and report
the results. Furthermore, we present a comprehensive evaluation of the system
and a comparison with a high-end commercial 3D scanner.

Computer Vision and Pattern Recognition