Abstract: The present disclosure provides a computer implemented method of image processing comprising, upon receiving of first and second images from an imaging unit, the first and second images being respectively associated with first and second rotational changes between a reference orientation and the orientations of the first and second images: processing data representative of the first image and of the second image to compensate the first and second rotational changes between the reference orientation and the respective orientations of the first and second images, thereby obtaining first and second corrected images; processing the first corrected image to detect distinctive keypoints within a fronto-parallel strip of the first corrected image; searching keypoints in the second corrected image corresponding to the detected keypoints, and estimating a geometric transformation between the first and second images based on matching the keypoints in the first and the second corrected images.

Abstract: The present disclosure provides a computer implemented method of image processing comprising, upon receiving of first and second images from an imaging unit, the first and second images being respectively associated with first and second rotational changes between a reference orientation and the orientations of the first and second images: processing data representative of the first image and of the second image to compensate the first and second rotational changes between the reference orientation and the respective orientations of the first and second images, thereby obtaining first and second corrected images; processing the first corrected image to detect distinctive keypoints within a fronto-parallel strip of the first corrected image; searching keypoints in the second corrected image corresponding to the detected keypoints, and estimating a geometric transformation between the first and second images based on matching the keypoints in the first and the second corrected images.