shiyunxi's repositories
Extract-Features-from-3D-meshes-for-Machine-Learning
Two Python scripts for extracting hand crafted features from 3D meshes and point clouds for Machine Learning. Features have been used as data for Random Forests, AdaBoost, Descision Trees, etc.
FeatureNet
FeatureNet: Upsampling of Point Cloud and it’s Associated Features
lidar_leaf_properties
Python package to extract tree leaf properties from point cloud data.
PDAL
PDAL is Point Data Abstraction Library. GDAL for point cloud data.
PointCloudClassification
Using point neighbourhood to determine geometric features of point, using eigen vectors for classification. See assignment brief (assignment2.pdf)
pymccrgb
Multiscale curvature classification of point clouds with color features
TIP_Reduced-Reference-Perceptual-Quality-Model-with-Application-to-Rate-Control-for-Video-based-PCC
These code can extract the CFGD and CBMV features sued in "Reduced Reference Perceptual Quality Model with Application to Rate Control for Video-based Point Cloud Compression"