A scalable, high-precision, and low-noise detector of shift-invariant image locations
A scalable, high-precision, and low-noise detector of shift invariant locations in grayscale images is presented. It leads to a wide range of novel image-to-data structures processing algorithms. Experiments with a single algorithm of this range prove that (i) the output structures convey great amount of semantically relevant information about the original image; (ii) this information can be successfully extracted and used in subsequent applications.
shift invariance image-to-data structures processing feature detection multi-scale processing