% NORMALISE2DPTS - normalises 2D homogeneous points % % Function translates and normalises a set of 2D homogeneous points % so that their centroid is at the origin and their mean distance from % the origin is sqrt(2). This process typically improves the % conditioning of any equations used to solve homographies, fundamental % matrices etc. % % Usage: [newpts, T] = normalise2dpts(pts) % % Argument: % pts - 3xN array of 2D homogeneous coordinates % % Returns: % newpts - 3xN array of transformed 2D homogeneous coordinates. The % scaling parameter is normalised to 1 unless the point is at % infinity. % T - The 3x3 transformation matrix, newpts = T*pts % % If there are some points at infinity the normalisation transform % is calculated using just the finite points. Being a scaling and % translating transform this will not affect the points at infinity. % Peter Kovesi % School of Computer Science & Software Engineering % The University of Western Australia % pk at csse uwa edu au % http://www.csse.uwa.edu.au/~pk % % May 2003 - Original version % February 2004 - Modified to deal with points at infinity. function [newpts, T] = normalise2dpts(pts) if size(pts,1) ~= 3 error('pts must be 3xN'); end % Find the indices of the points that are not at infinity finiteind = find(abs(pts(3,:)) > eps); if length(finiteind) ~= size(pts,2) warning('Some points are at infinity'); end % For the finite points ensure homogeneous coords have scale of 1 pts(1,finiteind) = pts(1,finiteind)./pts(3,finiteind); pts(2,finiteind) = pts(2,finiteind)./pts(3,finiteind); pts(3,finiteind) = 1; c = mean(pts(1:2,finiteind)')'; % Centroid of finite points newp(1,finiteind) = pts(1,finiteind)-c(1); % Shift origin to centroid. newp(2,finiteind) = pts(2,finiteind)-c(2); meandist = mean(sqrt(newp(1,finiteind).^2 + newp(2,finiteind).^2)); scale = sqrt(2)/meandist; T = [scale 0 -scale*c(1) 0 scale -scale*c(2) 0 0 1 ]; newpts = T*pts;