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Kartta Labs: Collaborative Time Travel
We introduce the modular and scalable design of Kartta Labs, an open sou...
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Learning from #Barcelona Instagram data what Locals and Tourists post about its Neighbourhoods
Massive tourism is becoming a big problem for some cities, such as Barce...
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Historical collaborative geocoding
The latest developments in digital have provided large data sets that ca...
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Socio-economic, built environment, and mobility conditions associated with crime: A study of multiple cities
Nowadays, 23 metropolises, criminal activity is much higher and violent ...
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Computer Analysis of Architecture Using Automatic Image Understanding
In the past few years, computer vision and pattern recognition systems h...
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A Century of Portraits: A Visual Historical Record of American High School Yearbooks
Many details about our world are not captured in written records because...
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Procedural Crowd Generation for Semantically Augmented Virtual Cities
Authoring realistic behaviors to populate a large virtual city can be a ...
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Nostalgin: Extracting 3D City Models from Historical Image Data
What did it feel like to walk through a city from the past? In this work, we describe Nostalgin (Nostalgia Engine), a method that can faithfully reconstruct cities from historical images. Unlike existing work in city reconstruction, we focus on the task of reconstructing 3D cities from historical images. Working with historical image data is substantially more difficult, as there are significantly fewer buildings available and the details of the camera parameters which captured the images are unknown. Nostalgin can generate a city model even if there is only a single image per facade, regardless of viewpoint or occlusions. To achieve this, our novel architecture combines image segmentation, rectification, and inpainting. We motivate our design decisions with experimental analysis of individual components of our pipeline, and show that we can improve on baselines in both speed and visual realism. We demonstrate the efficacy of our pipeline by recreating two 1940s Manhattan city blocks. We aim to deploy Nostalgin as an open source platform where users can generate immersive historical experiences from their own photos.
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