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        La memoria fotografica dell’architettura

        Restituzioni prospettiche e ricostruzioni

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        Author(s)
        Agnello, Fabrizio
        Language
        Italian
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        Abstract
        Perspective restitution is the inverse process of perspective and is therefore rooted in descriptive geometry; when this technique is applied to the restitution of dimensions from photos, it enters the territories of photogrammetry. The position on the border between two disciplines, different but related, has caused the solitude of perspective restitution from photos: rarely mentioned in studies on descriptive geometry, it is completely ignored in those dedicated to photogrammetry. Yet, perspective restitution is the only tool that allows us to reconstruct, from a single image, the 3D layout of a building. In his 1930 book dedicated to 'Metrophotography', Henri Deneux had highlighted, probably for the first time, the possibility of reconstructing, from a single photo, buildings or parts of them damaged by war events (Deneux referred to monuments damaged by the bombings of World War I). Today, digital drawing and modelling tools enable us to overcome many of the difficulties that affected perspective restitution from photos with traditional drawing tools. This volume illustrates the theoretical assumptions and the drawing and modelling techniques that allow us to achieve the 3D reconstruction of buildings and urban scenarios that no longer exist from one or few images.
        URI
        https://library.oapen.org/handle/20.500.12657/85691
        Keywords
        perspective restitution; photography; 3D reconstruction; lost buildings and sites; descriptive geometry; photogrammetry
        ISBN
        9788835150787, 9788835150787
        Publisher
        FrancoAngeli
        Publisher website
        https://www.francoangeli.it/Home.aspx
        Publication date and place
        Milan, 2023
        Series
        Forme del disegno,
        Pages
        203
        Rights
        https://creativecommons.org/licenses/by-nc-nd/4.0/
        • Imported or submitted locally

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        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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