1. A method of detecting a key point of an image, the method comprising: calculating a high-order Laplacian of Gaussian (LoG) operator by sequentially differentiating an LoG operator with respect to x and v of an image; generating the high-order LoG kernel based on the high-order LoG operator; generating a scale space based on the high-order LoG kernel; and detecting the key point by comparing a current pixel in the scale space to pixels adjacent to the current pixel, wherein the high-order LoG kernel is a mask for performing a convolution on a function using the high-order LoG operator.