Detect and pool multiple feature types

A single command to detect multiple feature types, enabling more robust detections and registrations than single feature types can deliver.

A compact set of MATLAB utilities that extend the standard **detect → extract → match** workflow to **multiple feature types**, enabling more robust feature‑based **detection** and **registration** than is typically possible with any single detector.

Built on MATLAB and Computer Vision Toolbox functionality, these tools orchestrate native feature detection, description, matching, visualization, and subset evaluation—so you can combine complementary feature types (SIFT, SURF, KAZE, ORB, MSER, corner detectors, and more) without replacing or rewriting existing workflows.