Quote:
One of the factors that determine the data quality produced by targetless photogrammetric techniques is the feature richness of the surface being captured. The Structure-From-Motion and Multiple View Stereovision (SFM-MVS) pipeline is no exception to this rule as it relies on the ability to identify corresponding points within a collection of unordered images
Quote:
Furthermore, the complete artefact's reconstruction without the use of NFPs proved to be problematic as SFM-MVS failed in image spatial alignment due to lack of features. Thus, we repeated the data collection phase by including additional target objects in order to provide features. This time, the alignment was successful but the poor quality of the reconstruction (e.g. noise presence, mesh incontinuities, etc.) indicates an unfriendly SFM-MVS surface.
If you like I can drop 50 or so links to photogrammetry papers that describe how the process works.