6533b7d3fe1ef96bd12601a5
RESEARCH PRODUCT
A coarse to fine 3D acquisition system
Olivier AubretonFrederic TruchetetVincent Davalsubject
2d images0209 industrial biotechnologyScannerbusiness.industryComputer scienceProcess (computing)3D Compression[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]020207 software engineeringClass (philosophy)02 engineering and technology3D Simplification[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Coarse to finePrimitives extraction[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]020901 industrial engineering & automationHomogeneous0202 electrical engineering electronic engineering information engineeringComputer visionArtificial intelligencebusiness3D ReconstructionAlgorithmScope (computer science)description
International audience; The 3D chain (acquisition-processing-compression) is , most of the time , sequenced into several steps. Such approaches result into an one-dense acquisition of 3D points. In large scope of applications , the first processing step consists in simplifying the data. In this paper , we propose a coarse to fine acquisition system which permits to obtain simplified data directly from the acquisition. By calculating some complementary information from 2D images , such as 3D normals , multiple homogeneous regions will be segmented and affected to a given primitive class. Contrary to other studies , the whole process is not based on a mesh. The obtained model is simplified directly from the 2D data acquired by a 3D scanner .
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2015-06-03 |