3D digitisation is essential to enhance knowledge and conservation processes for Cultural Heritage (CH). However, movable heritage collected in museums, e.g., archeological finds, statues, coins, and musical instruments, often consists of highly reflective surfaces and/or featureless textures. The aim of this work is to stress the Structure from Motion Dense MultiView Reconstruction (SfM-DMVR) of objects, whose optical properties are challenging to this image-based technique. To improve the results obtained by SfM-DMVR standard acquisition workflow, this study exploited the potential of combining Noise Function Pattern (NFP) projection and light Cross Polarization (CP). Moreover, High Dynamic Range (HDR) image reconstruction was tested on images acquired according to different CP angles. The SfM-DMVR of a texture-less shiny ceramic object was then compared to the one obtained by a structured light triangulation scanner, the most reliable tool for such surfaces, but unfortunately quite expensive. The advantages and limitations of the presented method are discussed.

COMBINING PATTERN PROJECTION AND CROSS POLARIZATION TO ENHANCE 3D RECONSTRUCTION OF FEATURELESS REFLECTIVE SURFACES / Clini, P.; Nespeca, Romina; Angeloni, Renato; D'Alessio, M.; Mandolini, M.. - In: INTERNATIONAL ARCHIVES OF THE PHOTOGRAMMETRY, REMOTE SENSING AND SPATIAL INFORMATION SCIENCES. - ISSN 2194-9034. - ELETTRONICO. - XLVIII-M-2-2023:(2023), pp. 427-432. [10.5194/isprs-archives-XLVIII-M-2-2023-427-2023]

COMBINING PATTERN PROJECTION AND CROSS POLARIZATION TO ENHANCE 3D RECONSTRUCTION OF FEATURELESS REFLECTIVE SURFACES

p. clini
Conceptualization
;
Romina Nespeca;Renato Angeloni;M. D'Alessio;M. Mandolini
2023-01-01

Abstract

3D digitisation is essential to enhance knowledge and conservation processes for Cultural Heritage (CH). However, movable heritage collected in museums, e.g., archeological finds, statues, coins, and musical instruments, often consists of highly reflective surfaces and/or featureless textures. The aim of this work is to stress the Structure from Motion Dense MultiView Reconstruction (SfM-DMVR) of objects, whose optical properties are challenging to this image-based technique. To improve the results obtained by SfM-DMVR standard acquisition workflow, this study exploited the potential of combining Noise Function Pattern (NFP) projection and light Cross Polarization (CP). Moreover, High Dynamic Range (HDR) image reconstruction was tested on images acquired according to different CP angles. The SfM-DMVR of a texture-less shiny ceramic object was then compared to the one obtained by a structured light triangulation scanner, the most reliable tool for such surfaces, but unfortunately quite expensive. The advantages and limitations of the presented method are discussed.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11566/318552
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