PhD Ferdinand Maiwald
Person

Affiliations

Chair of Optical 3D-Metrology
- Full Professor
- ferdinand.maiwald@tu-dresden.de

Identification Numbers

ORCID	0000-0002-2456-9731
Scopus author ID	57194707322

Coloring the Past: Neural Historical Monuments Reconstruction from Archival Photography

Komorowicz, D., Sang, L., Maiwald, F. & Cremers, D., 2025, Pattern Recognition: 46th DAGM German Conference, DAGM GCPR 2024, Munich, Germany, September 10–13, 2024, Proceedings, Part II. p. 55–71 17 p. (Lecture Notes in Computer Science, Vol. 15298).

Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review

Enhancing the accuracy of the Leica Nova TS60 total station: A multi-purpose camera-based optical measurement system

Schuwerack, C., Quirin, L., Lelle-Neumann, G. & Maiwald, F., 13 Dec 2024, ISPRS TC II Optical 3D Metrology (O3DM). Brescia, Italy, p. 153–160 8 p. (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences , Vol. XLVIII-2/W7-2024).

Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review

View all research output (43)

E H Thompson Award

Maiwald, F. (Recipient) & Maas, H.-G. (Recipient), 7 Sept 2022

Prize: Publication/Conference prize

Best Paper Award 2019

Maiwald, F. (Recipient), Henze, F. (Recipient), Bruschke, J. (Recipient) & Niebling, F. (Recipient), 10 May 2019

Prize: Publication/Conference prize

View all prizes (2)

Research Portal of the TU Dresden

PhD Ferdinand Maiwald
Person

Affiliations

Identification Numbers

Related content

Coloring the Past: Neural Historical Monuments Reconstruction from Archival Photography

Enhancing the accuracy of the Leica Nova TS60 total station: A multi-purpose camera-based optical measurement system

A Digital 4D Information System on the World Scale: Research Challenges, Approaches, and Preliminary Results

DEEP-IMAGE-MATCHING: A TOOLBOX FOR MULTIVIEW IMAGE MATCHING OF COMPLEX SCENARIOS

Artificial Intelligence for Digital Heritage Innovation: Setting up a R&D Agenda for Europe

E H Thompson Award

Best Paper Award 2019