Boundary-based corner detection using wavelet transform

A novel corner detection algorithm based on the wavelet transform is presented. The algorithm detects corners by applying the shape information of the orientation profile of the corner. The shape information is extracted by using the wavelet transform. The conducted experiments have shown that our algorithm is more effective than the conventional corner detection algorithms. Compared with the traditional multiscale corner detection algorithms, our algorithm is computationally simpler because we have to compute the wavelet transform for only one or two scales.<<ETX>>