HIMO: Cross-Arbitrary-Modality Image Invariant Feature Transform with Hierarchical Intrinsic Major Orientation

Invariant feature extraction is a critical challenge in intelligent image processing, particularly with the rapid advancement of multi-source/modal imaging. Cross-modal matching has attracted considerable attention, yet current studies primarily focus on targeted modalities rather than realizing a general approach. In this paper, cross-arbitrary-modal image invariant feature extraction and matching is studied. Inspired by human vision, a purely handcrafted invariant feature transform is proposed