A very special artistic event can be held with the “virtual” sculpture exhibition. Cellular phones can be used in this project to show the public square as if a non-existing sculpture has been located on it. However, the idea of amplifying the environment with virtual objects is not a new concept, the limited performance of the used visualizing devices requires developing faster and more effective algorithms for this purpose. This paper discusses the arising problems during the development of this algorithm and gives proposals for solving them.
To eliminate uncertainties in relative orientation, sometimes it becomes advantageous to include additional information on geometrical structures, which remain invariant under changes in camera calibration and viewing positions. Such structures may be lines, circles, etc. Combined with robust estimation of the orientation parameters, we can substantially reduce the effects of outliers.
Authors:Richard Honti, Ján Erdélyi, and Alojz Kopáčik
spheres. Identification and modeling of spheres have many applications in several fields, e.g. reverse engineering [ 5 ], [ 6 ]; medical imaging [ 7 ]; terrestrial laser scanner (alternatively camera) calibration [ 8 ], [ 9 ]; point cloud registration [ 10