Top-Points as Interest Points for Image Matching [chapter]

B. Platel, E. Balmachnova, L. M. J. Florack, B. M. ter Haar Romeny
2006 Lecture Notes in Computer Science  
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
more » ... ated 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.
doi:10.1007/11744023_33 fatcat:cayzsmppifhsdiamqkv2wodbwi