Corner Detection Using Color Density Gradient
Da Wei Sun, Jianhua Huang, Xianglong Tang · 2008
A novel corner detection approach which is based on clustering the pixels by density gradient is proposed.Moving along the density gradient, the pixels will arrive at their object center, and at corner neighborhood, the density gradients all point away in any direction.Hence, two eigenvalues of the Hessian matrix are all positive and significant in density gradient field.The proposed method is invariant to the detection scale, and it can be applied for all type images.