Pré-Publication, Document De Travail Année : 2025

Rapid, without focus stacking, 3D photogrammetric digitization of cockroaches

Résumé

Natural history collections are seen as treasure troves we need to both preserve and study. Campaigns of 2D and 3D digitization have emerged in numerous institutions as an opportunity to maximize specimen's diffusion while limiting the risk associated to their manipulation. 2D and especially 3D models can then be used for various scientific purposes. Because of different obstacles (time, technical limitations, cost…), the digitization of small and numerous objects, like insect specimens, remain to be improved. Among the existing options, photogrammetry is generally less expensive than µCT-scan, two of the main methods for digitizing objects, but it remains timeconsuming for small objects because focus staking-which involves a multiplication of shots-is strongly recommended to increase the depth of field. Here, we present a fast and inexpensive photogrammetric pipeline that generates 3D models of cockroaches of high enough quality for morphometric geometric analyses. By focusing on a region of interest in the specimens-identified according to the goal of the digitization-the depth of field is reduced by comparison with the one encompassing the whole specimen. We thus eliminate the need for focus stacking. We produced 3D models for 62 species and compared 13 of the photogrammetric 3D models qualitatively and quantitatively with those obtained from µCT-scans of the same 13 species. We conclude that the 3D models produced with our pipeline are of a quality good enough to perform geometric morphometric analyses, which will be published elsewhere in a companion paper. Despite a few limitations, we hope that our pipeline will generate opportunities for the study of small objects like insects, one of the most species-rich group on Earth and in natural history collections.
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Dates et versions

mnhn-04893713 , version 1 (17-01-2025)

Identifiants

  • HAL Id : mnhn-04893713 , version 1

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Juliette Berger, Barbara Bignon, Raphaël Cornette, Frédéric Legendre, Arnaud Delapré. Rapid, without focus stacking, 3D photogrammetric digitization of cockroaches. 2025. ⟨mnhn-04893713⟩
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