computer-vision-skill

# Computer Vision Skill ## Overview Expert skill for robot vision applications including camera calibration, feature detection and tracking, stereo vision, and visual servoing. ## Capabilities - Implement camera intrinsic calibration (pinhole, fisheye) - Configure stereo camera calibration and rectification - Set up camera-LiDAR extrinsic calibration - Implement feature detection (ORB, SIFT, SURF, SuperPoint) - Configure optical flow tracking (Lucas-Kanade, Farneback) - Implement depth estimation from stereo - Set up visual servoing pipelines - Configure image undistortion and rectification - Implement ArUco/AprilTag marker detection - Set up hand-eye calibration ## Target Processes - robot-calibration.js - visual-slam-implementation.js - object-detection-pipeline.js - digital-twin-development.js ## Dependencies - OpenCV - cv_bridge - image_geometry - camera_calibration ## Usage Context This skill is invoked when processes require camera calibration, feature detection, visual tracking, or image processing for robot vision applications. ## Output Artifacts - Camera calibration files (YAML) - Stereo calibration parameters - Feature detection configurations - Visual servoing controllers - Image processing pipelines - Marker detection configurations