10 November 2016 Improving three-dimensional reconstruction of buildings from web-harvested images using forensic clues
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Abstract
During the past years, research has focused on the reconstruction of three-dimensional point cloud models from unordered and uncalibrated sets of images. Most of the proposed solutions rely on the structure-from-motion algorithm, and their performances significantly degrade whenever exchangeable image file format information about focal lengths is missing or corrupted. We propose a preprocessing strategy that permits estimating the focal lengths of a camera more accurately. The basic idea is to cluster the input images into separate subsets according to an array of interpolation-related multimedia forensic clues. This operation permits having a more robust estimate and improving the accuracy of the final model.
© 2016 SPIE and IS&T
Simone Milani, Simone Milani, Enrico Tronca, Enrico Tronca, } "Improving three-dimensional reconstruction of buildings from web-harvested images using forensic clues," Journal of Electronic Imaging 26(1), 011009 (10 November 2016). https://doi.org/10.1117/1.JEI.26.1.011009 . Submission:
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