Data from: Intercomparison of photogrammetry software for three-dimensional vegetation modelling

Photogrammetry-based 3D reconstruction of objects is becoming increasingly
appealing in research areas unrelated to computer vision. It has the
potential to facilitate the assessment of forest inventory-related
parameters by enabling or expediting resource measurements in the field.
We hereby compare several implementations of photogrammetric algorithms
(CMVS/PMVS, CMPMVS, MVE, OpenMVS, SURE, and Agisoft PhotoScan) with
respect to their performance in vegetation assessment. The evaluation is
based on (a) a virtual scene where the precise location and dimensionality
of objects is known a priori and is thus conducive to a quantitative
comparison, and (b) using series of in-situ acquired photographs of
vegetation with overlapping field of view where the photogrammetric
outcomes are compared quantitatively. Performance is quantified by
computing ROC curves that summarize the type-I and type-II errors between
the reference and reconstructed tree models. Similar artifacts are
observed in synthetic- and in-situ- based reconstructions.