Improving three-dimensional reconstruction of buildings from web-harvested images using forensic clues

Simone Milani; Enrico Tronca

doi:10.1117/1.JEI.26.1.011009

10 November 2016 Improving three-dimensional reconstruction of buildings from web-harvested images using forensic clues

Simone Milani, Enrico Tronca

Author Affiliations +

Journal of Electronic Imaging, Vol. 26, Issue 1, 011009 (November 2016). https://doi.org/10.1117/1.JEI.26.1.011009

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.

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Simone Milani and 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

Published: 10 November 2016

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