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Top-Points as Interest Points for Image Matching
[chapter]
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
doi:10.1007/11744023_33
fatcat:cayzsmppifhsdiamqkv2wodbwi