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An automatic multi-image procedure for accurate 3D object reconstruction

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4 Author(s)
M. Previtali ; Dept. BEST, Politec. di Milano, Vinci, Italy ; L. Barazzetti ; M. Scaioni ; Y. Tian

This paper presents an automated methodology for the accurate reconstruction of surfaces and 3D objects. This method was developed for close-range photogrammetric applications, with a particular attention to terrestrial free-form objects that can be modeled with point clouds extracted from high resolution images. The image orientation phase is carried out using an automatic procedure based on a rigorous bundle adjustment. Then, an approximate model is obtained using a patch-based matching strategy. Then, this initial model is refined using a Multi-Image Least Squares Matching (MGCM) implementation, increasing in this way the precision of the final model and giving the possibility to evaluate its consistency using a rigorous variance-covariance propagation. The multi-image matching result is a dense point cloud describing in an accurate way the object surface. The derived point cloud is used to obtain a mesh which is finally textured obtaining a photo-realistic result.

Published in:

Image and Signal Processing (CISP), 2011 4th International Congress on  (Volume:3 )

Date of Conference:

15-17 Oct. 2011