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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, D. Laupheimer, Stefan Schmohl, Norbert Haala, Franz Rottensteiner, Jan Dirk Wegner, Hugo Ledoux

2021Zurich Open Repository and Archive (University of Zurich)95 citationsDOI

Topics & Concepts

Point cloudComputer scienceBenchmark (surveying)Polygon meshSegmentationLidarGeospatial analysisArtificial intelligenceConvolutional neural networkComputer visionPattern recognition (psychology)Remote sensingComputer graphics (images)CartographyGeographyRemote Sensing and LiDAR Applications3D Surveying and Cultural HeritageRobotics and Sensor-Based Localization
The Hessigheim 3D (H3D) benchmark on semantic segmentation of high-resolution 3D point clouds and textured meshes from UAV LiDAR and Multi-View-Stereo | Litcius