 It is partly inspired by the scale-invariant feature transform (SIFT) descriptor.The standard version of SURF is several times faster than SIFT and claimed by its authors to be more robust against different image transformations than SIFT.To detect interest points, SURF uses an integer approximation of the determinant of Hessian blob detector, which can be computed with 3 integer operations using a precomputed integral image.