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

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. Classic...

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Bibliographic Details
Published in:Machine vision and applications 2013-11, Vol.24 (8), p.1645-1659
Main Authors: Harvent, Jacques, Coudrin, Benjamin, Brèthes, Ludovic, Orteu, Jean-José, Devy, Michel
Format: Article
Language:English
Subjects:
Applied sciences
Artificial intelligence
Cameras
Communications Engineering
Computer Science
Computer science
control theory
systems
Embedded systems
Engineering Sciences
Exact sciences and technology
Image Processing and Computer Vision
Industrial applications
Industrial metrology. Testing
Mechanical engineering. Machine design
Modelling
Networks
Original Paper
Parameter estimation
Pattern Recognition
Pattern recognition. Digital image processing. Computational geometry
Projectors
Reconstruction
Reverse engineering
Signal and Image processing
Three dimensional models
Vision systems
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Summary: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.
ISSN:0932-8092
1432-1769
DOI:10.1007/s00138-013-0495-z