Special Section on Image Processing for Cultural Heritage

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

[+] Author Affiliations
Simone Milani, Enrico Tronca

University of Padova, Department of Information Engineering, via Gradenigo 6/B, 35131 Padova, Italy

J. Electron. Imaging. 26(1), 011009 (Nov 10, 2016). doi:10.1117/1.JEI.26.1.011009
History: Received July 1, 2016; Accepted October 18, 2016
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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.

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Citation

Simone Milani and Enrico Tronca
"Improving three-dimensional reconstruction of buildings from web-harvested images using forensic clues", J. Electron. Imaging. 26(1), 011009 (Nov 10, 2016). ; http://dx.doi.org/10.1117/1.JEI.26.1.011009


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