Speeded-up SURF: Design of an efficient multiscale feature detector

Abstract

We present a fast and highly performant multiscale feature detector which is based on the established SURF algorithm. The additional speed-up is achieved by linearizing the SURF detector in a way that its detection characteristics are preserved. Our evaluations show that the proposed suSURF detector is roughly 30% faster without significant sacrifices in feature quality. The key points detected by suSURF are compatible with standard SURF features and those found by other determinant of Hessian (DoH) based detectors.