Steerable 2D Gaussian derivative filter (for visualization). This function is a demonstration of steerable filters. The directional derivative of G in an arbitrary direction theta can be found by taking a linear combination of the directional derivatives dxG and dyG. USAGE filterSteerable( theta ) INPUTS theta - orientation in radians OUTPUTS EXAMPLE filterSteerable( pi/4 ); See also filterGauss Piotr's Computer Vision Matlab Toolbox Version 2.0 Copyright 2014 Piotr Dollar. [pdollar-at-gmail.com] Licensed under the Simplified BSD License [see external/bsd.txt]