Skip to Main content Skip to Navigation
Journal articles

Multi-view dense 3D modelling of untextured objects from a moving projector-cameras system

Abstract : Structured light methods achieve 3D modelling by observing with a camera system, a known pattern projected on the scene. The main drawback of single projection structured light methods is that moving the projector changes significatively the appearance of the scene at every acquisition time. Classical multi-view stereovision approaches based on the appearance matching are then not useable. The presented work is based on a two-cameras and one single slide projector system embedded in a hand-held device for industrial applications (reverse engineering, dimensional control, etc). We propose a method to achieve multi-view modelling for camera pose and surface reconstruction estimation in a joint process. The proposed method is based on the extension of a stereo-correlation criterion. Acquisitions are linked through a generalized expression of local homographies. The constraints brought by this formulation allow an accurate estimation of the modelling parameters for dense reconstruction of the scene and improve the result when dealing with detailed or sharp objects, compared to pairwise stereovision methods.
Complete list of metadatas

Cited literature [44 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-00932050
Contributor : Imt Mines Albi Ecole Nationale Supérieure Des Mines d'Albi-Carmaux <>
Submitted on : Tuesday, June 3, 2014 - 4:49:31 PM
Last modification on : Wednesday, June 24, 2020 - 4:18:51 PM
Long-term archiving on: : Wednesday, September 3, 2014 - 10:40:49 AM

File

MVA_version_d_auteur.pdf
Files produced by the author(s)

Identifiers

Citation

Jacques Harvent, Benjamin Coudrin, Ludovic Brèthes, Jean-José Orteu, Michel Devy. Multi-view dense 3D modelling of untextured objects from a moving projector-cameras system. Machine Vision and Applications, Springer Verlag, 2013, 24 (8), pp.1645-1659. ⟨10.1007/s00138-013-0495-z⟩. ⟨hal-00932050⟩

Share

Metrics

Record views

593

Files downloads

584