SnapNet: 3D point cloud semantic labeling with 2D deep segmentation networks

• Published in: Computers & graphics Vol. 71; pp. 189 - 198
• Main Authors: Boulch, Alexandre, Guerry, Joris, Le Saux, Bertrand, Audebert, Nicolas
• Format: Journal Article
• Language: English
• Published: Oxford Elsevier Ltd 01.04.2018; Elsevier Science Ltd; Elsevier
• Subjects: Algorithms; Artificial neural networks; Cloud computing; Computer Science; Engineering Sciences; Forecasting; Image segmentation; Labeling; Lidar; Mathematics; Neural networks; Photogrammetry; Physics; Three dimensional models; Urban planning; APPRENTISSAGE; VISION ORDINATEUR; VISION; RESEAU NEURONES; DEEP LEARNING; APPRENTISSAGE AUTOMATIQUE

•Scalable method using voxelization to produce smaller and homogeneous point clouds.•Snapshots of the point cloud for 2D, two modalities RGB and geometric features.•Segmentation using deep segmentation network.•First place on Lidar benchmark Semantic8.•Experimentation on photogrammetric and RGBD dat...