The three-dimensional (3-D) workflow (acquisition-processing-compression) is, in most cases, sequenced into several independent steps. Such approaches result in an acquisition of an important number of 3-D points. After acquisition, the first processing step is a simplification of the data by suppressing many of the computed points. We propose a coarse-to-fine acquisition system that makes it possible to obtain simplified data directly from the acquisition. By calculating some complementary information from two-dimensional (2-D) images, such as 3-D normals, multiple-homogeneous regions will be segmented and affected for a given primi- tive class. In contrast to other studies, the whole process is not based on a mesh. The obtained model is sim- plified directly from the 2-D data acquired by a 3-D scanner. © 2015 SPIE and IS&T (DOI: 10.1117/1.JEI.24.6.061120)
['Vincent Daval', 'Frédéric Truchetet', 'Olivier Aubreton']
Coarse-to-fine three-dimensional digitization system