A normalization based image affine estimation technique for computer vision

In this paper, we propose the estimation method for the image affine information for computer vision. The first estimation method is given based on the XYS image normalization and the second estimation method is based on the XSR image normalization. In addition, we show that rotation and aspect ratio information can be obtained using the central moments of both the original image and the sensed image. Finally, we propose the modified version of the normalization method so that we may control the size of the image. It turns out that the XYS method has much better performance than the XSR method for the image having the aspect ratio change