Density based interest point detector

To ameliorate the limitation of traditional intensity based interest point detector which is sensitive to texture region a novel density based interest point detector is proposed. The new detector uses the density gradient instead of intensity gradient to build the Harris corner detector. Comparing with the intensity based method, the density based detector can reduce noise corners in the texture region, and the detected corners are distributed uniformly. Thousands of gray level image pairs were used to evaluate the two detectors. The results show that the repeatability of the density based method is nearly equal to that of the intensity based method, but the distribution of density corners is more uniform than that of the intensity corners.