Traditionally feature extraction is focussed on edge and corner detection, however, more recently points of interest and blob like features have also become prominent in the field of computer vision and are typically used to determine correspondences between two images of the same scene. We present a new approach to a Hessian blob detector, designed within the finite element framework, which is similar to the multi-scale approach applied in the SURF detector. We present performance evaluation that demonstrates the accuracy of our approach in comparison to well known existing algorithms.
|Title of host publication||Unknown Host Publication|
|Number of pages||10|
|Publication status||Published (in print/issue) - 14 Sept 2011|
|Event||16th International Conference on Image Analysis and Processing - Ravenna, Italy|
Duration: 14 Sept 2011 → …
|Conference||16th International Conference on Image Analysis and Processing|
|Period||14/09/11 → …|