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https://doi.org/10.3280/oa-686...
Part of book or chapter of book
Data sources: UnpayWall
https://doi.org/10.3280/oa-686...
Part of book or chapter of book . 2021 . Peer-reviewed
Data sources: Crossref
mEDRA
Part of book or chapter of book . 2021
Data sources: mEDRA
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Forms in Space. AR Experiences for Geometries of Architectural Form

Authors: Marta Salvatore; Leonardo Baglioni; Graziano Mario Valenti; Alessandro Martinelli;

Forms in Space. AR Experiences for Geometries of Architectural Form

Abstract

Learning through the direct experimentation of models, in their variety of manifestations and hybridizations that we know today, is undoubtedly a very powerful aid in the acquisition of knowledge. Specifically on architectural form, this aid is even more important, because it helps not only to understand the form of existing architecture, but even more to imagine and design new ones. The research here presented, focusing on this double objective, cognitive and creative, proposes and experiments new ways of integrating and interacting with heterogeneous models – both physical and virtual – conceived for a scenario of musealization of the architectural form. A place where the user interacts and experiences the properties and peculiarities of form, in perceptive continuity between real and virtual space.

Country
Italy
Related Organizations
Keywords

descriptive geometry; form; digital model; augmented reality; projected augmented reality

  • BIP!
    Impact byBIP!
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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
bronze