Ferdinand Maiwald

Ferdinand Maiwald

Technische Universität Dresden

H-index: 11

Europe-Germany

About Ferdinand Maiwald

Ferdinand Maiwald, With an exceptional h-index of 11 and a recent h-index of 11 (since 2020), a distinguished researcher at Technische Universität Dresden, specializes in the field of Photogrammetry, Computer vision, Image analysis, 3d modelling, cultural heritage.

His recent articles reflect a diverse array of research interests and contributions to the field:

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

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

Introducing a multimodal dataset for the research of architectural elements

Giving historical photographs a new perspective: introducing camera orientation parameters as new metadata in a large-scale 4D application

Semi-automatic Generation of Historical Urban 3D Models at a Larger Scale Using Structure-from-Motion, Neural Rendering and Historical Maps

Solving photogrammetric cold cases using AI-based image matching: New potential for monitoring the past with historical aerial images

Coloring the Past: Neural Historical Buildings Reconstruction from Archival Photography

Ferdinand Maiwald Information

University

Position

Institute of Photogrammetry and Remote Sensing

Citations(all)

278

Citations(since 2020)

247

Cited By

102

hIndex(all)

11

hIndex(since 2020)

11

i10Index(all)

11

i10Index(since 2020)

11

Email

University Profile Page

Technische Universität Dresden

Google Scholar

View Google Scholar Profile

Ferdinand Maiwald Skills & Research Interests

Photogrammetry

Computer vision

Image analysis

3d modelling

cultural heritage

Top articles of Ferdinand Maiwald

Title

Journal

Author(s)

Publication Date

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

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

L Morelli

F Ioli

F Maiwald

G Mazzacca

F Menna

...

2024/2/14

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

Sander Münster

Ferdinand Maiwald

Isabella di Lenardo

Juha Henriksson

Antoine Isaac

...

2024/2/6

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

Sander Münster

Ferdinand Maiwald

Jonas Bruschke

Cindy Kröber

Ying Sun

...

2024/1

Introducing a multimodal dataset for the research of architectural elements

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

J Bruschke

C Kröber

F Maiwald

R Utescher

A Pattee

2023/6/24

Giving historical photographs a new perspective: introducing camera orientation parameters as new metadata in a large-scale 4D application

Remote Sensing

Ferdinand Maiwald

Jonas Bruschke

Danilo Schneider

Markus Wacker

Florian Niebling

2023/3/31

Semi-automatic Generation of Historical Urban 3D Models at a Larger Scale Using Structure-from-Motion, Neural Rendering and Historical Maps

Ferdinand Maiwald

Dávid Komorowicz

Iqra Munir

Clemens Beck

Sander Münster

2023/3/27

Solving photogrammetric cold cases using AI-based image matching: New potential for monitoring the past with historical aerial images

ISPRS Journal of Photogrammetry and Remote Sensing

Ferdinand Maiwald

Denis Feurer

Anette Eltner

2023/12/1

Coloring the Past: Neural Historical Buildings Reconstruction from Archival Photography

arXiv preprint arXiv:2311.17810

David Komorowicz

Lu Sang

Ferdinand Maiwald

Daniel Cremers

2023/11/29

ACCURACY ANALYSIS OF ESTIMATED CAMERA ORIENTATION PARAMETERS OF HISTORICAL IMAGES–CASE STUDY OF GEORG-SCHUMANN-BAU IN DRESDEN (GERMANY)

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

F Maiwald

H Sardemann

2022/5/30

On the Use of Polarization Cameras for the Determination of Concrete Moisture

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

S Isfort

F Maiwald

C Mulsow

H-G Maas

2022/5/30

Toward an Automated Pipeline for a Browser-Based, City-Scale Mobile 4D VR Application Based on Historical Images

Research and Education in Urban History in the Age of Digital Libraries: Second International Workshop, UHDL 2019, Dresden, Germany, October 10–11, 2019, Revised Selected Papers

Ferdinand Maiwald

Susanne Karsten

2022/1/11

A window to the past through modern urban environments: Developing a photogrammetric workflow for the orientation parameter estimation of historical images

Ferdinand Maiwald

2022

Exploring naming inventories for architectural elements for use in multi-modal machine learning applications

Proceedings of the Workshop on Computational Methods in the Humanities

Ronja Utescher

Aaron Patee

Ferdinand Maiwald

Jonas Bruschke

Stephan Hoppe

...

2022/6

Multimodale KI zur Unterstützung geschichtswissenschaftlicher Quellenkritik-ein Forschungsaufriss.

Sander Münster

Jonas Bruschke

Cindy Kröber

Stephan Hoppe

Ferdinand Maiwald

...

2022

Fully automated pose estimation of historical images in the context of 4D geographic information systems utilizing machine learning methods

ISPRS International Journal of Geo-Information

Ferdinand Maiwald

Christoph Lehmann

Taras Lazariv

2021/11/4

Software and Content Design of a Browser-based Mobile 4D VR Application to Explore Historical City Architecture

Sander Muenster

Jonas Bruschke

Ferdinand Maiwald

Constantin Kleiner

2021/10/20

Where are we now on the Road to 4d Urban History Research and Discovery?

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences

S Münster

F Maiwald

J Bruschke

C Kröber

R Dietz

...

2021/8/27

An automatic workflow for orientation of historical images with large radiometric and geometric differences

The Photogrammetric Record

Ferdinand Maiwald

Hans‐Gerd Maas

2021/6

HistImage2021

Ferdinand Maiwald

2021

An automated pipeline for a browser-based, city-scale mobile 4d vr application based on historical images

Sander Münster

Ferdinand Maiwald

Christoph Lehmann

Taras Lazariv

Mathias Hofmann

...

2020/10/12

See List of Professors in Ferdinand Maiwald University(Technische Universität Dresden)