1. An image processing method, comprising: receiving image data of a plurality of images being captured under different view points; selecting one of the images as a first image; and warping the remaining images with reference to the first image according to at least one constrained physical camera parameters, wherein the at least one constrained physical camera parameters are obtained from a predefined solution space during a learning/training procedure, wherein the learning/training procedure comprises: (1) capturing a base image; (2) capturing multiple reference images; (3) recording one set of physical camera parameters corresponding to each reference image; (4) warping the base image to match each reference image according to the recorded set of physical camera parameters; and (5) determining the constrained physical camera parameters by finding whether difference(s) between warped base images and the reference images is undistinguishable under human vision.