19 citations · 35 across the 7 of their papers we have counts for
7 papers
Transferring facade labels between point clouds with semantic octrees while considering change detection
Sophia Schwarz, Tanja Pilz, Olaf Wysocki +2
Point clouds and high-resolution 3D data have become increasingly important in various fields, including surveying, construction, and virtual reality. However, simply having this d…
Reconstructing facade details using MLS point clouds and Bag-of-Words approach
Thomas Froech, Olaf Wysocki, Ludwig Hoegner +1
In the reconstruction of façade elements, the identification of specific object types remains challenging and is often circumvented by rectangularity assumptions or the use of boun…
Classifying point clouds at the facade-level using geometric features and deep learning networks
Yue Tan, Olaf Wysocki, Ludwig Hoegner +1
3D building models with facade details are playing an important role in many applications now. Classifying point clouds at facade-level is key to create such digital replicas of th…
MLS2LoD3: Refining low LoDs building models with MLS point clouds to reconstruct semantic LoD3 building models
Olaf Wysocki, Ludwig Hoegner, Uwe Stilla
Although highly-detailed LoD3 building models reveal great potential in various applications, they have yet to be available. The primary challenges in creating such models concern…
Scan2LoD3: Reconstructing semantic 3D building models at LoD3 using ray casting and Bayesian networks
Olaf Wysocki, Yan Xia, Magdalena Wysocki +4
Reconstructing semantic 3D building models at the level of detail (LoD) 3 is a long-standing challenge. Unlike mesh-based models, they require watertight geometry and object-wise s…
TUM-FAÇADE: Reviewing and enriching point cloud benchmarks for façade segmentation
Olaf Wysocki, Ludwig Hoegner, Uwe Stilla
Point clouds are widely regarded as one of the best dataset types for urban mapping purposes. Hence, point cloud datasets are commonly investigated as benchmark types for various u…