Intensity scale invariant motion estimation with rotation and spatial scaling information

We present a motion estimation (ME) approach which is not constrained by the classical optical flow assumptions of constant illumination intensity and rigid motion with two degrees of freedom. This approach accounts for motion consisting of three dimensions of displacements and three dimensional rotations of a ridged surface. We present a model of this six dimensional motion and show how it can be represented with an affine transformation of an image. Next we present a novel approach of applying the image transformation by satisfying its interpolation and resampling needs in a different manner. The interpolation and resampling process is replaced by a frequency domain shaping technique. Finally we present some simulations of the overall motion estimation technique and compare its performance to the displaced frame difference block matching approach