Lara Toledo Cordeiro Ottoni
Biographic Data
| ID | 6670276 |
|---|---|
| NAME | Lara Toledo Cordeiro Ottoni |
| GIVEN NAMES | Lara Toledo Cordeiro |
| FAMILY NAME | Ottoni |
| SIGNATURE | OTTONI L T C |
| AFFILIATIONS | Instituto Federal de Educação, Ciência e Tecnologia de Minas Gerais |
| ORCID | 0000-0003-3996-431X |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
AltarData
The evolution of machine learning techniques has enabled significant advances in the field of object detection using computer vision applied to historical buildings. Indeed, studies in this area can contribute to applications ranging from automatic digital documentation to the technological enhancement of inspections in cultural heritage sites. However, a recurring challenge lies in the quality and public availability of image datasets that enabl…
Sustainable artificial intelligence for historic building components classification
Purpose This study aims to propose a sustainable artificial intelligence (AI) approach for the historic building components classification. To this end, the energy efficiency of deep learning models is investigated in the detection of key architectural elements of churches in the Historic Town of Congonhas, Brazil. In addition, practical tests are conducted at the Sanctuary of Bom Jesus, a significant Brazilian monument and UNESCO World Heritage …
A deep learning approach for cultural heritage building classification using transfer learning and data augmentation
ImageOP
Artificial intelligence has significant applications in computer vision studies for cultural heritage. In this research field, visual inspection of historical buildings and the digitization of heritage using machine learning models stand out. However, the literature still lacks datasets for the classification and identification of Brazilian religious buildings using deep learning, particularly with images from the historic town of Ouro Preto. It …
No prominent works on this page.
ImageOP
Artificial intelligence has significant applications in computer vision studies for cultural heritage. In this research field, visual inspection of historical buildings and the digitization of heritage using machine learning models stand out. However, the literature still lacks datasets for the classification and identification of Brazilian religious buildings using deep learning, particularly with images from the historic town of Ouro Preto. It …
A deep learning approach for cultural heritage building classification using transfer learning and data augmentation
AltarData
The evolution of machine learning techniques has enabled significant advances in the field of object detection using computer vision applied to historical buildings. Indeed, studies in this area can contribute to applications ranging from automatic digital documentation to the technological enhancement of inspections in cultural heritage sites. However, a recurring challenge lies in the quality and public availability of image datasets that enabl…
Sustainable artificial intelligence for historic building components classification
Purpose This study aims to propose a sustainable artificial intelligence (AI) approach for the historic building components classification. To this end, the energy efficiency of deep learning models is investigated in the detection of key architectural elements of churches in the Historic Town of Congonhas, Brazil. In addition, practical tests are conducted at the Sanctuary of Bom Jesus, a significant Brazilian monument and UNESCO World Heritage …
3D Surveying and Cultural Heritage (4 works) · Cultural heritage (4 works) · Deep learning (3 works) · Archaeology (2 works) · Artificial Intelligence (2 works) · Computer Science (2 works) · Conservation Techniques and Studies (2 works) · Geography (2 works) · Infrastructure Maintenance and Monitoring (2 works) · Advanced Image and Video Retrieval Techniques (1 work)