The application discloses a kind of generation methods of rotation invariant multi-scale annular
feature descriptor, to overcome the challenge that
feature recognition technology is difficult to accurately describe key features due to
image rotation problem in image recognition field.First, multi-scale annular domain is constructed, for the segmentation local feature around feature point, to obtain multi-scale annular feature;Then the eigenvalue of annular feature is calculated with annular feature as basic unit;Finally, the eigenvalue obtained from multiple scales is sorted to form a
feature vector with rotation invariance.The
feature description scheme provided by the application avoids obtaining a
feature vector with rotation invariance by estimating the dominant direction of the feature point.Compared with the scheme based on the dominant direction, the
feature vector provided by the application will not be disturbed by the error from the dominant direction, avoids the operation of rotating all local features to the same direction according to the dominant direction, simplifies the calculation steps of describing local features, and reduces the
algorithm complexity.