Enabling Component Reuse From Existing Buildings Using Machine Learning - Using 
Google Street View to Enhance Building Databases

Neri, Iacopo; Raghu, D.; Markopoulou, A.; Chronis, A.; De Wolf, C.

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Enabling Component Reuse From Existing Buildings Using Machine Learning - Using Google Street View to Enhance Building Databases

Neri, I., Raghu, D., Markopoulou, A., Chronis, A., & De Wolf, C. (2022). Enabling Component Reuse From Existing Buildings Using Machine Learning - Using Google Street View to Enhance Building Databases. In Proceedings of the 27th International Conference on Computer-Aided Architectural Design Research in Asia (2022), CAADRIA.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000D-8BE0-9 Version Permalink: https://hdl.handle.net/21.11116/0000-000D-8BE1-8

Genre: Conference Paper

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Creators:
Neri, Iacopo¹, Author
Raghu, D., Author
Markopoulou, A., Author
Chronis, A., Author
De Wolf, C., Author

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1Bibliotheca Hertziana - Max-Planck-Institut für Kunstgeschichte, Max Planck Society, Via Gregoriana 28, I-00187 Rome, I, ou_1462638

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Language(s): eng - English

Dates: Date issued: 2022

Publication Status: Issued

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Title: Proceedings of the 27th International Conference on Computer-Aided Architectural Design Research in Asia (2022), CAADRIA

Source Genre: Proceedings

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