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 KölleDominik LaupheimerStefan SchmohlNorbert HaalaFranz RottensteinerJan Dirk WegnerHugo LedouxPublished in: CoRR (2021)
Keyphrases
- semantic segmentation
- high resolution
- point cloud
- depth map
- low resolution
- super resolution
- superpixels
- conditional random fields
- implicit surfaces
- depth estimation
- input image
- remote sensing
- depth information
- surface reconstruction
- visual hull
- object classes
- stereo matching
- image processing
- high quality
- structure from motion
- point sets
- object categories
- object segmentation
- natural images
- image pairs
- action recognition
- stereo pair
- single image
- segmentation algorithm