Creating a 4D Street View of Amsterdam from Historical Images

Poster (2019)

Authors

R.M. Siebes Pattern Recognition and Bioinformatics - EEMCS
S. Khademi Pattern Recognition and Bioinformatics - EEMCS
Tino Mager History, Form & Aesthetics - Architecture and the Built Environment
C.M. Hein History, Form & Aesthetics - Architecture and the Built Environment
Victor de Boer Vrije Universiteit Amsterdam
J.C. van Gemert Pattern Recognition and Bioinformatics - EEMCS
Research Group
History, Form & Aesthetics (Architecture and the Built Environment) (TU Delft)
Copyright: © 2019 R.M. Siebes, S. Khademi, Tino Mager, C.M. Hein, Victor de Boer, J.C. van Gemert
More Info
expand_more

Published Date

10-10-2019

Language

English

Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Faculty

Architecture and the Built Environment

Department

Architecture

Research Group

History, Form & Aesthetics

Abstract

The ArchiMediaL project aims to bridge between data science and researches on contemporary and historical built environments by developing state of the art AI algorithms for the automatic linking of available meta-data and image repositories. As a case-study we use the 360,000+ historical images from the Amsterdam Beeldbank database.