A wide range of cheap and simple to use 3D scanning devices has recently been introduced in the market.
The proposed implementation emphasizes the portability of our algorithm on either single or multi-core embedded platforms for on-line mosaicing onboard 3D scanning devices.
3D scanning devices usually produce huge amounts of dense points, which require excessively large storage space and long post-processing times.
Cavalieri allows to manage the huge digital models produced with 3D scanning devices and supports easy specification of orthographic drawings and cut-through sections, which are given in output as very high-resolution images (with user-selected reproduction scale and printer resolution).
In addition, PST only requires a simple and inexpensive hardware setup whereas 3D scanning devices are usually costly and less portable.
Specifically regarding the 3D scanning devices, in the field of 3D digitalization of canvas paintings, the quantity and precision of information provided by those systems seems to be exorbitant due to near-planarity characteristic of canvas.
The data points on the surface of the product are then measured using a non-contact 3D scan device, and the point clouds for 30 cross-sections of these products are obtained based on the measured information.
The parts are cleaned ultrasonically, and quality control is performed by optical scanning [Atos2 scanning device, GOM Intl. AG, Wilden, Switzerland].
The femoral heads were optically scanned (with and without the jigs and guide wire in place) with sub-millimeter accuracy [Atos2 scanning device, GOM Intl. AG, Wilden, Switzerland] and matched onto the bone models in the preoperative planning in the Mimics software (ICP algorithm [Besl & McKay 1992]).
In order to robustly perform segmentation for industrial design objects measured by a 3-D scanning device, we propose a new method for high-quality vertex clustering on a noisy mesh.
