Abstract. We introduce a new type of local feature basedon the phaseand amplitude responsesof complex-valuedsteerable filters. The designof this local feature is motivated by a desire to obtain feature vectors which are semi-invariant under common image deformations, yet distinctive enoughto provide useful identity information. A recent proposal for such local features involves combining differential invariants to particular image deformations, such as rotation. Our approach differs in that we consider a wider class of image deformations, including the addition of noise, along with both global and local brightness variations. We use steerable filters to make the feature robust to rotation. And we exploit the fact that phase data is often locally stable with respect to scale changes, noise, and common brightnesschanges.We provide empirical results comparing our local feature with one based on differential invariants. The results show that our phase-based local feature leads to better pe...
Gustavo Carneiro, Allan D. Jepson