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What is Structure From Motion/Image Matching (SfM/IM)

Chapter 6
Conservation, Restoration, and Analysis of Architectural and Archaeological Heritage
The process allows to reconstruct a 3D point cloud of an object from a set of 2D pictures. The procedure starts with the extraction of features from 2D images. The Key point extraction (operated thanks to the Scale-invariant feature transform algorithms) is followed by an operation of dense matching (RANdom SAmple Consensus algorithm) to find correspondent points in the set of pictures. At this stage, homologues points are detected and they can be projected, thanks to a photogrammetric process, into a 3D space. The result is a 3D point cloud in which each point shares the coordinate system and has got a correspondent RGB value. The point cloud can be processed in order to obtain a surface model made with triangular faces and texturized thanks the projection of the pictures on the model itself.
Published in Chapter:
Built and Destroyed Memory: Where Does Methodology Lead?
Martina Attenni (Sapienza University of Rome, Italy) and Marika Griffo (Sapienza University of Rome, Italy)
Copyright: © 2019 |Pages: 25
DOI: 10.4018/978-1-5225-7555-9.ch006
Abstract
This chapter analyzes the methodological approach to the study of archaeological heritage in its architectonic consistency. More specifically, two case studies are here presented to mark how their peculiarities lead the scholar to follow different processes in order to achieve a high level of awareness. More than this, the chapter tries to comprehend to what extent common tools and strategies can be applied to dissimilar case studies in archaeological field. Recent technologies in this field have given to scholars and cultural heritage experts a new tool to preserve what still exists and to virtually reconstruct what has been destroyed.
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