There is provided a method of computing a camera pose of a digital image, comprising: computing query-regions of a digital image, each query-region maps to training image region(s) of training image(s) by a 2D translation and/or a 2D scaling, each training image associated with a reference camera pose, each query-region associated with a center point and a computed weighted mask that weights the query-region pixels according to computed correlations with the corresponding training image region, mapping cloud points corresponding to pixels of matched training image region(s) to corresponding images pixels of the matched query-regions according to a statistically significant correlation requirement between the center point of the query-region and the matched training image region, and according to the computed weight mask, and computing the camera pose according to an aggregation of the camera poses, and the mapped cloud points and corresponding image pixels of the matched query-regions.