Le terme “3D” est aussi employé pour désigner les images numériques, autrement appelées images de synthèse. En informatique, il est en effet possible de représenter des objets en trois dimensions que nous visualisons pourtant sur une surface plane (notre écran) en deux dimensions.

Voxel-Based 3D Point Cloud Semantic Segmentation: Unsupervised Geometric and Relationship Featuring

May 2019 - International Journal of Geo-InformationProject: The Smart Point CloudLab: Geomatics UnitFlorent PouxRoland Billen Abstract and figures Automation in point cloud data processing is central in knowledge discovery within…

Continuer la lectureVoxel-Based 3D Point Cloud Semantic Segmentation: Unsupervised Geometric and Relationship Featuring

3D Point Cloud Semantic Modelling: Integrated Framework for Indoor Spaces and Furniture

September 2018 - Remote Sensing Project: The Smart Point CloudFlorent PouxRomain NeuvilleGilles-Antoine NysRoland Billen Global workflow for modelling indoor point cloud data. Our approach takes as an input a semantically…

Continuer la lecture3D Point Cloud Semantic Modelling: Integrated Framework for Indoor Spaces and Furniture

Automatic Detection of Objects in 3D Point Clouds Based on Exclusively Semantic Guided Processes

October 2019 - International Journal of Geo-Information Project: Knowledge based Object Detection in Images and Point Clouds Jean-Jacques Ponciano Alain Treméau Frank Boochs System Overview Abstract and figures In the…

Continuer la lectureAutomatic Detection of Objects in 3D Point Clouds Based on Exclusively Semantic Guided Processes

SELF-LEARNING ONTOLOGY FOR INSTANCE SEGMENTATION OF 3D INDOOR POINT CLOUD

August 2020Florent PouxJean-Jacques Ponciano The classification process and naming conventions.(a) coloured point cloud;(b) segmentation result;(c) semantic segmentation;(d) instance segmentation. Abstract Automation in point cloud data processing is central for efficient knowledge…

Continuer la lectureSELF-LEARNING ONTOLOGY FOR INSTANCE SEGMENTATION OF 3D INDOOR POINT CLOUD