159 citations · 443 across the 7 of their papers we have counts for
7 papers
cjdb: a simple, fast, and lean database solution for the CityGML data model
Leon Powałka, Chris Poon, Yitong Xia +6
When it comes to storing 3D city models in a database, the implementation of the CityGML data model can be quite demanding and often results in complicated schemas. As an example,…
DDL-MVS: Depth Discontinuity Learning for MVS Networks
Nail Ibrahimli, Hugo Ledoux, Julian Kooij +1
Traditional MVS methods have good accuracy but struggle with completeness, while recently developed learning-based multi-view stereo (MVS) techniques have improved completeness exc…
PSSNet: Planarity-sensible Semantic Segmentation of Large-scale Urban Meshes
Weixiao Gao, Liangliang Nan, Bas Boom +1
We introduce a novel deep learning-based framework to interpret 3D urban scenes represented as textured meshes. Based on the observation that object boundaries typically align with…
Reconstructing Compact Building Models from Point Clouds Using Deep Implicit Fields
Zhaiyu Chen, Hugo Ledoux, Seyran Khademi +1
While three-dimensional (3D) building models play an increasingly pivotal role in many real-world applications, obtaining a compact representation of buildings remains an open prob…
SUM: A Benchmark Dataset of Semantic Urban Meshes
Weixiao Gao, Liangliang Nan, Bas Boom +1
Recent developments in data acquisition technology allow us to collect 3D texture meshes quickly. Those can help us understand and analyse the urban environment, and as a consequen…
The Hessigheim 3D (H3D) Benchmark on Semantic Segmentation of High-Resolution 3D Point Clouds and Textured Meshes from UAV LiDAR and Multi-View-Stereo
Michael Kölle, Dominik Laupheimer, Stefan Schmohl +4
Automated semantic segmentation and object detection are of great importance in geospatial data analysis. However, supervised machine learning systems such as convolutional neural…
CityJSON: a compact and easy-to-use encoding of the CityGML data model
Hugo Ledoux, Ken Arroyo Ohori, Kavisha Kumar +3
The international standard CityGML is both a data model and an exchange format to store digital 3D models of cities. While the data model is used by several cities, companies, and…