In recent years, SfM techniques have been widely used especially in the field of Cultural Heritage. Some applications, however, remain undefined in cases where the boundary conditions are not suitable for the technique. Examples of this are instances where there are poor lighting conditions and the presence of glass and reflective surfaces. This paper presents a case study where SfM is applied, using a DSLR camera (Nikon D5200), to the “Head of Hades” inside a glass theca and under a large number of light sources at different distances and of different intensities and sizes. The geometric evaluation has been made comparing the DSLR camera model against the 3D data acquired with structured light systems.

Inzerillo, L. (2020). SfM Techniques Applied in Bad Lighting and Reflection Conditions: The Case of a Museum Artwork. In Editors Kohei Arai Supriya Kapoor (a cura di), Advances in Computer Vision (pp. 394-401). Springer Verlag London Limited [10.1007/978-3-030-17795-9_29].

SfM Techniques Applied in Bad Lighting and Reflection Conditions: The Case of a Museum Artwork

Inzerillo, Laura
2020

Abstract

In recent years, SfM techniques have been widely used especially in the field of Cultural Heritage. Some applications, however, remain undefined in cases where the boundary conditions are not suitable for the technique. Examples of this are instances where there are poor lighting conditions and the presence of glass and reflective surfaces. This paper presents a case study where SfM is applied, using a DSLR camera (Nikon D5200), to the “Head of Hades” inside a glass theca and under a large number of light sources at different distances and of different intensities and sizes. The geometric evaluation has been made comparing the DSLR camera model against the 3D data acquired with structured light systems.
Settore ICAR/17 - Disegno
978-3-030-17794-2
Inzerillo, L. (2020). SfM Techniques Applied in Bad Lighting and Reflection Conditions: The Case of a Museum Artwork. In Editors Kohei Arai Supriya Kapoor (a cura di), Advances in Computer Vision (pp. 394-401). Springer Verlag London Limited [10.1007/978-3-030-17795-9_29].
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/10447/439712
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