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Modelli 3D polifunzionali: ottimizzazione e caratterizzazione per il game engine

Authors: Filippo Fantini;

Modelli 3D polifunzionali: ottimizzazione e caratterizzazione per il game engine

Abstract

How to realise models suitable for efficient visualisation within real time rendering applications is the aim of this text. In particular, it deals with the problem of segmenting laser scanning data and how these are then subjected to a twofold simplification process: one for areas characterised by high detail and one for areas with low or no curvature. Another topic that will be addressed is that of defining the topological rules of low-detail models so that they are suitable for interactive visualisation without any gaps or shading errors. Finally, the theme of texturing for the perceptive improvement of models through “irregular” textures, i.e. suitable for one and only one model, or “regular”, i.e. subject to repetition, will be considered. Here too, the segmentation and hierarchization of the urban layout and the constituent elements of the individual buildings has a priority role as it links architectural reading to computer reading with the aim of the perceptive and visual effectiveness of the digital model.

Country
Italy
Keywords

Structure from Motion, 3D modelling, game engine, real-time rendering

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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