Fitting a Homography to Observations of Its Differential

This paper proposes a homography estimation method using self-rectifying textures, leveraging autocorrelation to avoid explicit key points. Local autocorrelation peaks are used to estimate affine transformations, then reconstruct the global homography. The approach, robust to occlusions and unobtrusive, suits applications such as steganography or computer vision