Accurate 3d structure measurements from two uncalibrated views

Authors:
Benjamin Albouy;Emilie Koenig;Sylvie Treuillet;Yves Lucas
Affiliations:
ENSI, Vision and Robotics Laboratory, Orleans University, Bourges, France;Polytech'Orléans, site Galilée, Orléans;Polytech'Orléans, site Galilée, Orléans;IUT Mesures Physiques, Bourges
Venue:
ACIVS'06 Proceedings of the 8th international conference on Advanced Concepts For Intelligent Vision Systems
Year:
2006

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Abstract

We have developed an efficient algorithm to compute an Euclidean reconstruction from only two wide-baseline color images captured with a hand-held digital camera. The classical reconstruction scheme has been improved to boost the number of matches by a hierarchical epipolar constraint during an iterative process and an ultimate step of dense matching based on affine transformation. At the output, between three to four thousands points are reconstructed in 2 minutes on 1024x768 images. The stability of the algorithm has been evaluated by some repetitive tests and the quality of the reconstruction is assessed according to a metric ground truth provided by an industrial 3D scanner. The averaged error on 3D points is around 3.5% reported to the model depth. Such a precision makes this technique suitable for wound volumetric assessment in clinical environments using a hand held digital camera.