Litcius/Paper detail

Adaptive neighborhood size and effective geometric features selection for 3D scattered point cloud classification

Mehmet Akıf Günen

2021Applied Soft Computing30 citationsDOI

Topics & Concepts

Point cloudComputer sciencePattern recognition (psychology)Feature selectionArtificial intelligenceBoosting (machine learning)Classifier (UML)k-nearest neighbors algorithmFeature extractionData miningRemote Sensing and LiDAR Applications3D Surveying and Cultural Heritage3D Shape Modeling and Analysis
Adaptive neighborhood size and effective geometric features selection for 3D scattered point cloud classification | Litcius