# This software and supporting documentation are distributed by # Institut Federatif de Recherche 49 # CEA/NeuroSpin, Batiment 145, # 91191 Gif-sur-Yvette cedex # France # # This software is governed by the CeCILL-B license under # French law and abiding by the rules of distribution of free software. # You can use, modify and/or redistribute the software under the # terms of the CeCILL-B license as circulated by CEA, CNRS # and INRIA at the following URL "http://www.cecill.info". # # As a counterpart to the access to the source code and rights to copy, # modify and redistribute granted by the license, users are provided only # with a limited warranty and the software's author, the holder of the # economic rights, and the successive licensors have only limited # liability. # # In this respect, the user's attention is drawn to the risks associated # with loading, using, modifying and/or developing or reproducing the # software by the user in light of its specific status of free software, # that may mean that it is complicated to manipulate, and that also # therefore means that it is reserved for developers and experienced # professionals having in-depth computer knowledge. Users are therefore # encouraged to load and test the software's suitability as regards their # requirements in conditions enabling the security of their systems and/or # data to be ensured and, more generally, to use and operate it in the # same conditions as regards security. # # The fact that you are presently reading this means that you have had # knowledge of the CeCILL-B license and that you accept its terms. ######################################################################### # # Project : Pyaimsalgo # Module : aimsalgo.transform # Create date : 2007-07-19 # # Description : # This file contains BendingTransform class # ######################################################################### import sys, math from soma import aims class BendingTransform : def __init__( self, coefficients) : self._coefficients = coefficients def transform( self, point ) : x = point[0] y = point[1] z = point[2] alpha = self._coefficients[0] kapa = self._coefficients[1] if ( kapa != 0 ) : # Apply the bending transformation kapaInversed = kapa ** -1 if (kapa > 0) : kapaSign = 1 else : kapaSign = -1 gamma = z * kapa r = x * math.cos(alpha) + y * math.sin(alpha) r1 = kapaInversed - math.cos(gamma) * (kapaInversed - r) X = x + math.cos( alpha ) * ( r1 - r ) Y = y + math.sin( alpha ) * ( r1 - r ) Z = math.sin(gamma) * (kapaInversed - r) else : X = x Y = y Z = z return aims.Point3df(X, Y, Z) def inverseTransform( self, point ) : X = point[0] Y = point[1] Z = point[2] alpha = self._coefficients[0] kapa = self._coefficients[1] if ( kapa != 0 ) : # Apply inverse of the bending transformation kapaInversed = kapa ** -1 if (kapa > 0) : kapaSign = 1 else : kapaSign = -1 r1 = X * math.cos(alpha) + Y * math.sin(alpha) r = kapaInversed - ( kapaSign * math.sqrt( Z**2 + ( kapaInversed - r1 )**2 ) ) gamma = math.atan2( Z * kapaSign, ( kapaInversed - r1 ) * kapaSign ) x = X - math.cos( alpha ) * ( r1 - r ) y = Y - math.sin( alpha ) * ( r1 - r ) z = gamma * kapaInversed else : x = X y = Y z = Z return aims.Point3df(x, y, z)