The models produced by means of the available 3D-surface scanning technologies are considered accurate enough for most applications. Unfortunately, the acquisition of complex objects is still a demanding and human-intensive process that cannot be performed by non-specialists.
Among the open problems, one of the most difficult to grasp is planning the acquisition session, i.e. choosing a set of scanner positions to view the whole surface of the object.
Another human-intensive phase is surface registration, and a painful one if large objects are being imaged.
This research addresses both issues of registration of range maps and sensor planning, in the context of 3D model acquisition.
Closing Gaps by Clustering Unseen Directions. In proceedings of SMI 04 International Conference, Genova, Italy, 7-9 June, 2004., P. Cignoni, R. Scopigno,
M. Callieri, A. Fasano, RoboScan: An automatic system for accurate and unattended 3D scanning. In proceedings of 2nd International Symposium on 3D Data Processing Visualization & Transmission, Thessaloniki, Greece, 7-9 September, 2004., P. Cignoni, R. Scopigno, G. Parrini, G. Biagini,
R. Scopigno, P. Cignoni, M. Callieri, F. Ganovelli, Using optically scanned 3D data in the restoration of Michelangelo's David. In proceedings of SPIE International Symposium on Optical Metrology, Munich, Germany, 23-26 June, 2003., P. Pingi, F. Ponchio,
P. Cignoni, Towards Automatic Registration Of Range Maps, Proceedings. In proceedings of VMV 2003 Workshop, Munich, Germany, 19-21 November, pp. 111-118, 2003., I. Miraglia, R. Scopigno,