The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLVI-2/W1-2022
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-2/W1-2022, 215–222, 2022
https://doi.org/10.5194/isprs-archives-XLVI-2-W1-2022-215-2022
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-2/W1-2022, 215–222, 2022
https://doi.org/10.5194/isprs-archives-XLVI-2-W1-2022-215-2022

  25 Feb 2022

25 Feb 2022

HANDLING CRITICAL ASPECTS IN MASSIVE PHOTOGRAMMETRIC DIGITIZATION OF MUSEUM ASSETS

E. M. Farella, L. Morelli, E. Grilli, S. Rigon, and F. Remondino E. M. Farella et al.
  • 3D Optical Metrology (3DOM) unit, Bruno Kessler Foundation (FBK), Trento, Italy

Keywords: massive museum digitization, photogrammetry, depth of field, masking, filtering, cleaning

Abstract. In recent years, a growing interest in the 3D digitisation of museum assets has been pushed by the evident advantages of digital copies in supporting and advancing the knowledge, preservation and promotion of historical artefacts. Realising photo-realistic and precise digital twins of medium and small-sized movable objects implies several operations, still hiring open research problems and hampering the complete automation and derivation of satisfactory results while limiting processing time. The work examines some recurrent issues and potential solutions, summing up several experiences of photogrammetric-based massive digitisation projects. In particular, the article presents some insights into three crucial aspects of the photogrammetric pipeline. The first experiments tackle the Depth of Field (DoF) problem, especially when digitising small artefacts with macro-lenses. On the processing side, two decisive and time-consuming tasks are instead investigated: background masking and point cloud editing, exploring and proposing automatic solutions for speeding up the reconstruction process.