Name
Abstract | ||
|---|---|---|
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 primitive class. In contrast to other studies, the whole process is not based on a mesh. The obtained model is simplified directly from the 2-D data acquired by a 3-D scanner. (C) 2015 SPIE and IS&T |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1117/1.JEI.24.6.061120 | JOURNAL OF ELECTRONIC IMAGING |
Keywords | Field | DocType |
three-dimensional reconstruction,three-dimensional simplification,three-dimensional compression,primitive extraction | Computer vision,Digitization,Computer graphics (images),Computer science,Matrix (mathematics),Image segmentation,Artificial intelligence,Scanner,Workflow | Journal |
Volume | Issue | ISSN |
24 | 6 | 1017-9909 |
Citations | PageRank | References |
0 | 0.34 | 10 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| v daval | 1 | 0 | 0.34 |
| Frédéric Truchetet | 2 | 121 | 18.97 |
| Olivier Aubreton | 3 | 17 | 5.74 |