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Harvent J.,Noomeo Inc. | Coudrin B.,Noomeo Inc. | Brethes L.,Noomeo Inc. | Orteu J.-J.,CNRS Clement Ader Institute | And 2 more authors.
Conference Proceedings of the Society for Experimental Mechanics Series | Year: 2014

Digital Image Correlation is widely used for shape, motion and deformation measurements. Basically, the main steps of 3D-DIC for shape measurement applications are: off-line camera calibration, image matching and triangulation. The matching of each pixel of an image to a pixel in another image uses a so-called subset (correlation window). Subset size selection is a tricky issue and is a trade-off between a good spatial resolution, achieved with small subsets that preserve image details, and a low displacement uncertainty achieved with large subsets that can smooth image details. In this paper, we present a new multi-step DIC algorithm specially designed for measuring the 3D shape of objects with sharp edges. With this new algorithm an accurate 3D reconstruction of the whole object, including the sharp edges that are preserved, can be achieved. © The Society for Experimental Mechanics, Inc. 2014. Source


Harvent J.,Noomeo Inc. | Coudrin B.,Noomeo Inc. | Brethes L.,Noomeo Inc. | Orteu J.-J.,Toulouse 1 University Capitole | Devy M.,CNRS Laboratory for Analysis and Architecture of Systems
Machine Vision and Applications | Year: 2013

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. © 2013 Springer-Verlag Berlin Heidelberg. Source


Harvent J.,Noomeo Inc. | Coudrin B.,Roche Holding AG | Coudrin B.,Toulouse 1 University Capitole | Brethes L.,Noomeo Inc. | And 3 more authors.
Experimental Mechanics | Year: 2015

Digital Image Correlation is widely used for shape, motion and deformation measurements. Basically, the main steps of 3D-DIC for shape measurement applications are: off-line camera calibration, image matching and triangulation. The matching of each pixel of an image to a pixel in another image uses a so-called subset (correlation window). Subset size selection is a tricky issue and is a trade-off between a good spatial resolution, achieved with small subsets that preserve image details, and a low displacement uncertainty achieved with large subsets that can smooth image details.In this paper, we present a new multi-step DIC algorithm specially designed for measuring the 3D shape of objects with sharp edges. With this new algorithm an accurate 3D reconstruction of the whole object, including sharp edges that are preserved, can be achieved. © 2014, Society for Experimental Mechanics. Source


Coudrin B.,Noomeo Inc. | Coudrin B.,Roche Holding AG | Coudrin B.,CNRS Laboratory for Analysis and Architecture of Systems | Coudrin B.,Toulouse 1 University Capitole | And 6 more authors.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2011

This paper presents a method for precise registration of 3D images acquired from a new sensor for 3D digitization moved manually by an operator around an object. The system is equipped with visual and inertial devices and with a speckle pattern projector. The presented method has been developed to address the problem that a moving speckle pattern during a sequence prevents from correlating points between images acquired from two successive viewpoints. So several solutions are proposed, based on images acquired with a moving speckle pattern. It improves ICP-based methods classically used for precise registration of two clouds of 3D points. © 2011 Springer-Verlag. Source

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