Intercomparison of photogrammetry software for three-dimensional vegetation modelling

Abstract

Photogrammetry-based three-dimensional 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 (i) a virtual scene where the precise location and dimensionality of objects is known a priori and is thus conducive to a quantitative comparison and (ii) using series of in situ acquired photographs of vegetation with overlapping field of view where the photogrammetric outcomes are compared qualitatively. Performance is quantified by computing receiver operating characteristic curves that summarize the type-I and type-II errors between the reference and reconstructed tree models. Similar artefacts are observed in synthetic- and in situ -based reconstructions.

Plant phenotyping relevance

植生・樹木の3次元形状を推定するフォトグラメトリ手法群を比較・定量評価しており、植物の構造的形質取得が研究の中心である。

Code and data availability

The paper's original UAS-based aerial and synthetic imagery used for the photogrammetric software comparison is publicly deposited on Dryad (10.5061/dryad.2459s12), a paper-specific, directly actionable asset. Other URLs (CloudCompare, MeshLab, OpenMVS, VisualSFM, POV-Ray, OpenCV) are generic third-party tools, not the