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20232026
most citedCombining visibility analysis and deep learning for refinement of semantic 3D building models by conflict classification

19 citations · 26 across the 22 of their papers we have counts for

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Showing 2024Show all

7 papers · 1 filter

cs.CV2024★ 1 cited

ZAHA: Introducing the Level of Facade Generalization and the Large-Scale Point Cloud Facade Semantic Segmentation Benchmark Dataset

Olaf Wysocki, Yue Tan, Thomas Froech +5

Facade semantic segmentation is a long-standing challenge in photogrammetry and computer vision. Although the last decades have witnessed the influx of facade segmentation methods,…

cs.CV2024★ 2 cited

Enriching thermal point clouds of buildings using semantic 3D building models

Jingwei Zhu, Olaf Wysocki, Christoph Holst +1

Thermal point clouds integrate thermal radiation and laser point clouds effectively. However, the semantic information for the interpretation of building thermal point clouds can h…

cs.CV2024★ 1 cited

Analyzing the impact of semantic LoD3 building models on image-based vehicle localization

Antonia Bieringer, Olaf Wysocki, Sebastian Tuttas +2

Numerous navigation applications rely on data from global navigation satellite systems (GNSS), even though their accuracy is compromised in urban areas, posing a significant challe…

cs.CV2024

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…

cs.CV2024

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…

cs.CV2024

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…

cs.CV2024

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…