Abstract
In recent years, the use of Image-Based Modeling (IBM) and Structure from Motion (SfM) photogrammetric techniques is increasing in the area of surveying. The quality parameters of this type of survey, widely practiced, are not today univocally defined. In fact, in order to be tested, metric quality often requires comparison with the acquisitions made with other technologies and, at the same time, the definition of color quality is a field still little explored, although it provides significant information content. The experimentation presented is aimed at finding a methodology for measuring the quality of an image-based model, with particular reference to chromatic definition, expressed in terms of overall sharpness and resolution. The proposed algorithm, which is general and therefore valid regarding any subject whatever the shooting conditions, must be understood as a basis for discussion about this significant issue and as an invitation to explain the construction processes at the basis of the realization of these types of models.
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- 1.
Metric accuracy and chromatic definition are both parameters that depend on the quality of shooting. However, they are not necessarily dependent on each other. In fact, during the construction phase of the model, it is possible to obtain better metric accuracy from a well-designed shooting set, rather than from a non-optimized images set, even if it has a better resolution.
- 2.
Illusory architecture is a perspective in real scale that represents various environments, deluding the observer into viewing a certain space different from the real one.
- 3.
This methodology, concerning the computing resolution of image-based models of painted vaulted subjects, was developed by Marta Salvatore and Matteo Flavio Mancini in the framework of national research: “Architectural perspectives, digital preservation, dissemination and study” [2].
- 4.
In reality, the resolution does not remain unchanged, but the decay can be considered negligible.
- 5.
A shooting can have a homogeneous or variable acquisition resolution. In the second case, particularly recurrent, we can reason in terms of average resolution or consider the smaller one.
References
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Mancini, M.F., Salvatore, M.: Surveying illusory architectures painted on vaulted surfaces. In: Digital Heritage, Proceedings of the 6th International Conference, EuroMed 2016, Part I, pp. 377–386. Springer, Cham (2016)
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Lambert, J.H.: Photometria, sive mensura et gradibus luminis, coloribus et umbrae. Augustae vindelicorum, Sumptibus viduae Eberhardi Klett, Typis Christophori Petri Detleffsen (1760)
Acknowledgments
The authors shared all methodology and contents of the research. In particular, they focused the necessity of deepening the theme of the chromatic resolution of image-based models, using similar studies in the rendering field, and together they designed the experimental algorithm. In particular, Marta Salvatore investigated the theoretical framework and surveyed and prepared the image-based models used for experimental testing; Graziano Mario Valenti developed the procedure as a prototype and tested it on the experimental models.
From a strictly editorial point of view, Marta Salvatore edited the paragraphs entitled: “Interest in resolution computation” and “Experimental design criteria”, including the abstract; Graziano Mario Valenti edited the paragraphs entitled: “Experimental solution and prototype model” and “Testing procedure”, including the conclusions.
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Salvatore, M., Valenti, G.M. (2020). Resolution Analysis of Image-Based 3D Models. In: Di Nicolantonio, M., Rossi, E., Alexander, T. (eds) Advances in Additive Manufacturing, Modeling Systems and 3D Prototyping. AHFE 2019. Advances in Intelligent Systems and Computing, vol 975. Springer, Cham. https://doi.org/10.1007/978-3-030-20216-3_24
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DOI: https://doi.org/10.1007/978-3-030-20216-3_24
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