Abstract
Reconstruction of Historical Buildings using Structure from Motion (SfM) Applications. An Operational Evaluation and Graphic Analysis
Highlights
The digital reconstruction of historic buildings has seen a recent boost with the availability of automatic applications for close range photogrammetry that can be used to quickly produce accurate digital surface models (DSM)
We must remember that the onset of digital photogrammetry just 30 years ago was entirely manual, and the evaluation of results was only possible in a line format
The construction of the model was handled using coded or backlit targets for the identification of orientation points, and the use of these applications was facilitated with techniques of linear correlation using image pairs to initially obtain deep recovery or a point cloud model–and a meshed model or DSM (Figure 1)
Summary
Applications were developed that ran automatically with minimal operator intervention. The inevitable errors in the process caused by excessive disparity between shots, shadows, glare, or other causes are repaired using robust adjustment algorithms such as RANSAC (random sample consensus) that identify key point sets and perform alignments using the orthogonal regression technique – discarding those that exceed a certain threshold and so reveal false matches (usually more common in photos taken far from the point of interest) With this data it is possible to start the ‘projective reconstruction’ of the sequence using the matrix fundamental F, which begins with the projectivity existing between the epipolar lines of a photo-pair.
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