GLS-MIFT: A modality invariant feature transform with global-to-local searching

Zhongli Fan, Ying-Dong Pi, Mi Wang, Yifei Kang, Kai Tan

Abstract: Highlights•Generic feature transform for multimodal images in a modality and geometric invariant manner.•High repeatability feature detection by introducing an effective feature response aggregation model.•Robust rotation invariant feature description based on a well-designed feature descriptor and a novel primary direction estimation approach.•Achieving highly reliable feature matching by designing a novel feature matcher based on the global-to-local searching principle.