Dense Image Matching for metric information retrieval using non-metric cameras and documentation shots

Authors

  • Francesca Noardo Politecnico di Torino – DIATI/DIST, c.so Duca degli Abruzzi, 24 10129 Torino, Italy

Keywords:

digital photogrammetry, Computer Vision, Dense Image Matching, SfM, Cultural Heritage, documentation

Abstract

Dense Image Matching and Structure – from – Motion (SfM) techniques are used to orient a posteriori a set of photos realized during
a restoration intervention on a church façade. The photos were taken to provide quality and hurried documentation to some
discovered historical stratifications. Images were captured with a non-professional camera, neither following correct photogrammetry
acquisition, nor considering optimal requirements for digital photogrammetry software processing. Images were processed, using
different applications and algorithms, and a 3D model was generated which was useful to store information about the façade
geometry.
From this the drawing of ancient stratification tracks can be plotted, making it possible to recover an otherwise lost metric
information, which is very important to the Monument documentation.

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Modello triangolato di una delle facciate di Chiesa e convento di S. Maria del Monte Carmelo al Colletto.

Published

2015-04-29

How to Cite

[1]
Noardo, F. 2015. Dense Image Matching for metric information retrieval using non-metric cameras and documentation shots. Bollettino della società italiana di fotogrammetria e topografia. 1 (Apr. 2015), 19–33.

Issue

Section

Science

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