Artificial Intelligence and Augmented Reality: A Possible Continuum for the Enhancement of Built Heritage

被引:6
作者
Spallone, Roberta [1 ]
Palma, Valerio [2 ]
机构
[1] REAACH ID Symposium, Genoa, Italy
[2] PoliTo, Turin, Italy
关键词
Artificial Intelligence; Augmented Reality; Survey; Modeling; Built Heritage;
D O I
10.20365/disegnarecon.26.2021.16
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Augmented reality and artificial intelligence technologies are increasingly involved in the interpretation, classification, and eventually in our understanding of the built environment. This paper collects three recent on-site research experiences, which developed mobile app prototypes and experimented with these advancements in the relationship between computer vision and architectural artifacts. The first project concerns the vaulted atria of Baroque Turin and integrates a work of analysis and representation with augmented reality applications to visualize interpretative 3D models. The second project focuses on the development of a mobile app to access data on monuments, exploiting deep learning technologies for image recognition. The application field is the Imperial Fora in Rome. The third project is part of the so-called "third mission" of universities, being developed in partnership with a company operating in the electronic telecommunications infrastructure sector. The project explores automatic methods for updating existing building information modeling databases on antenna tower sites. This experience, the last in chronological order, though focused on a modern architectural asset, is meant to reframe and integrate the previous ones, updating the methods and the foreseen developments, and stressing the potential of the combined use of the studied technologies. The joint consideration of the three projects is aimed at reflecting on the processes, which from different techniques for the recognition of spatial features, produce schematic understanding and operational uses of the shape of built heritage.
引用
收藏
页数:11
相关论文
共 28 条
[1]   A Review on Using Opportunities of Augmented Reality and Virtual Reality in Construction Project Management [J].
Ahmed, Shakil .
ORGANIZATION TECHNOLOGY AND MANAGEMENT IN CONSTRUCTION, 2019, 11 (01) :1839-1852
[2]  
Amin Dhiraj, 2015, International Journal on Computational Science Applications, V5, P11, DOI [DOI 10.5121/IJCSA.2015.5102, 10.5121/ijcsa.2015.5102]
[3]   ARCHITECTURE RECOGNITION BY MEANS OF CONVOLUTIONAL NEURAL NETWORKS [J].
Andrianaivo, Louis N. ;
D'Autilia, Roberto ;
Palma, Valerio .
27TH CIPA INTERNATIONAL SYMPOSIUM: DOCUMENTING THE PAST FOR A BETTER FUTURE, 2019, 42-2 (W15) :77-84
[4]   VAULT MODELING WITH NEURAL NETWORKS [J].
Barazzetti, L. ;
Previtali, M. .
8TH INTERNATIONAL WORKSHOP 3D-ARCH: 3D VIRTUAL RECONSTRUCTION AND VISUALIZATION OF COMPLEX ARCHITECTURES, 2019, 42-2 (W9) :81-86
[5]   A Survey of Augmented, Virtual, and Mixed Reality for Cultural Heritage [J].
Bekele, Mafkereseb Kassahun ;
Pierdicca, Roberto ;
Frontoni, Emanuele ;
Malinverni, Eva Savina ;
Gain, James .
ACM JOURNAL ON COMPUTING AND CULTURAL HERITAGE, 2018, 11 (02)
[6]  
Cecchini C., 2019, GRAPHIC IMPRINTS, P633
[7]   The Cityscapes Dataset for Semantic Urban Scene Understanding [J].
Cordts, Marius ;
Omran, Mohamed ;
Ramos, Sebastian ;
Rehfeld, Timo ;
Enzweiler, Markus ;
Benenson, Rodrigo ;
Franke, Uwe ;
Roth, Stefan ;
Schiele, Bernt .
2016 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2016, :3213-3223
[8]  
Eurostat, 2021, COFOG
[9]  
Fuller A., 2020, ARXIV191101276CS
[10]  
Greengard S, 2019, MIT PRESS ESSENT, P1, DOI 10.7551/mitpress/11836.001.0001