Physical inspections in various contexts (industrial, operational, medical, etc.) often require surface analysis, but how is it possible to review or improve past inspections retrospectively, even when the object under investigation is no longer available? Classical photogrammetry enables 3D reconstructions but often struggles with incomplete photo sets or noise. This study integrates photogrammetry with Gaussian Splatting, a recent technique enhancing visualisation via colour-based 3D rendering; virtual images obtained from Gaussian-Splatting renders enable the retrospective revisiting of photogrammetry-based reconstructions, improving their quality and accuracy. Two case studies in aerospace maintenance and medical imaging suggest that this approach can enhance
ex-post
surface inspections, allowing for a closer examination of details that were initially overlooked. The novelty of this contribution lies in the use of virtual renderings not only for visualisation purposes, but also as supplementary data to enrich 3D reconstruction, combining the visual strength of Gaussian Splatting with the geometric reliability of photogrammetry.
Inspection activities on industrial assets, for instance in the aerospace or automotive industry, frequently pertain to the examination of the surface conditions of objects. Among the established techniques for surface assessment, photogrammetry has gained increasing relevance in manufacturing quality monitoring, d...
M. Trombini, D. Maisano, F. Franceschini· The International Journal of...· 0 citations
This paper examines the theoretical basis and potential applications of photometric stereo 3D reconstruction for surface documentation and deterioration assessment in artwork conservation. A methodological framework is developed by linking image acquisition under multiple illumination directions, robust weighted normal...
Yi-Xuan Yang· Advances in Management and I...· 0 citations
Across datasets, major structures were generally reproduced well, whereas sparse foliage, low-contrast repetitive textures, fine surface details, and distant background objects required ROI-level verification, whereas sparse foliage, low-contrast repetitive textures, fine surface details, and distant background objects...
Tomohiro Mizoguchi· Italian National Conference...· 0 citations
Nowadays, the demand for advanced diagnostic tools for investigating artworks and monitoring their health state in a non-destructive way is growing fast. In this frame, detecting and preventing the formation of damages or assessing them for an accurate pre-restoration analysis are the main goals of non-destructive inve...
In this study, we examined whether current 3D reconstruction methods can support the creation of realistic holographic representations of laboratory objects for educational use. In this regard, we compared four approaches: photogrammetry, a neural radiance field (NeRF)-based method, Gaussian splatting, and LiDAR. These...
Bryan De La Cruz, Aaron Y. Zhao, Maitrey Gramopadhye et al.· 0 citations
Highlights • Dense-graded mixtures outperform open-graded ones in reconstruction fidelity.• Optimal photo counts are 17–25 for balancing accuracy and computational cost.• Texture indicators correlate with laser scanning but show systematic offsets.• Ssk and Sku are noise-sensitive and excessive photos may introduce ins...
Lian-Guo Song, Di Yun, Le Wang et al.· Materials· 0 citations
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