8 citations · 15 across the 8 of their papers we have counts for
4 papers · 1 filter
Deep learning enables urban change profiling through alignment of historical maps
Sidi Wu, Yizi Chen, Maurizio Gribaudi +4
Prior to modern Earth observation technologies, historical maps provide a unique record of long-term urban transformation and offer a lens on the evolving identity of cities. Howev…
ICDAR 2021 Competition on Historical Map Segmentation
Joseph Chazalon, Edwin Carlinet, Yizi Chen +9
This paper presents the final results of the ICDAR 2021 Competition on Historical Map Segmentation (MapSeg), encouraging research on a series of historical atlases of Paris, France…
Combining Deep Learning and Mathematical Morphology for Historical Map Segmentation
Yizi Chen, Edwin Carlinet, Joseph Chazalon +3
The digitization of historical maps enables the study of ancient, fragile, unique, and hardly accessible information sources. Main map features can be retrieved and tracked through…
An octree cells occupancy geometric dimensionality descriptor for massive on-server point cloud visualisation and classification
Remi Cura, Julien Perret, Nicolas Paparoditis
Lidar datasets are becoming more and more common. They are appreciated for their precise 3D nature, and have a wide range of applications, such as surface reconstruction, object de…