Top-Points as Interest Points for Image Matching

We consider the use of top-points for object retrieval. These points are based on scale-space and catastrophe theory, and are invariant under gray value scaling and offset as well as scale-Euclidean transformations. The differential properties and noise characteristics of these points are mathematically well understood. It is possible to retrieve the exact location of a top-point from any coarse estimation through a closed-form vector equation which only depends on local derivatives in the estimated point. All these properties make top-points highly suitable as anchor points for invariant matching schemes. By means of a set of repeatability experiments and receiver-operator-curves we demonstrate the performance of top-points and differential invariant features as image descriptors.

• Type: Conference
• Year: 2006
• Where: ECCV
• Authors: Bram Platel, Evguenia Balmachnova, Luc Florack, Bart M. ter Haar Romeny
• Keywords: Anchor Points, Closed-form Vector Equation, Coarse Estimation, Computer Vision, ECCV 2006, Gray Value Scaling, Invariant Matching Schemes