point-cloud-processing-skill

# Point Cloud Processing Skill ## Overview Expert skill for processing, analyzing, and manipulating 3D point cloud data using PCL (Point Cloud Library) and Open3D. ## Capabilities - Implement point cloud filtering (voxel grid, statistical outlier, passthrough) - Configure ground plane segmentation (RANSAC, SAC) - Implement clustering algorithms (Euclidean, DBSCAN) - Set up surface reconstruction (Poisson, ball pivoting) - Configure feature extraction (FPFH, SHOT, PFH) - Implement registration algorithms (ICP, NDT, GICP) - Set up octree and KD-tree spatial indexing - Process organized and unorganized point clouds - Implement point cloud downsampling strategies - Configure LiDAR-camera fusion ## Target Processes - lidar-mapping-localization.js - object-detection-pipeline.js - sensor-fusion-framework.js - synthetic-data-pipeline.js ## Dependencies - PCL (Point Cloud Library) - Open3D - pcl_ros - laser_geometry ## Usage Context This skill is invoked when processes require 3D point cloud manipulation, LiDAR data processing, surface reconstruction, or point cloud registration tasks. ## Output Artifacts - Point cloud processing pipelines - Filter chain configurations - Registration parameters - Segmentation algorithms - Feature extraction configurations - Fusion pipeline code