/* * Copyright (c) 2011-2013, Peter Abeles. All Rights Reserved. * * This file is part of BoofCV (http://boofcv.org). * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ package boofcv.alg.weights; /** * The distribution is a cropped Gaussian distribution with mean at 0. Note * that this matches the shape of the distribution but is not correctly normalized. Input is assumed to be * the distance squared. Does not check to see if distance is less than zero * * @author Peter Abeles */ public class WeightDistanceSqGaussian_F32 implements WeightDistance_F32 { float sigma; public WeightDistanceSqGaussian_F32(float sigma) { this.sigma = sigma; } @Override public float weight(float distanceSq) { return (float)Math.exp( - distanceSq/(2.0f*sigma*sigma) ); } }