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/*
 * Copyright (c) 2011-2017, 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.feature.describe;

import boofcv.abst.filter.blur.BlurFilter;
import boofcv.alg.feature.describe.brief.BinaryCompareDefinition_I32;
import boofcv.core.image.GeneralizedImageOps;
import boofcv.struct.feature.TupleDesc_B;
import boofcv.struct.image.ImageGray;

/**
 * 

* BRIEF: Binary Robust Independent Elementary Features. [1] Invariance: light. Fast to compute * and to compare feature descriptions. A variant on {@link DescribePointBinaryCompare} where the descriptor * is computed from a single, randomly generated {@link BinaryCompareDefinition_I32 definition} after the image * has been blurred. *

* *

* [1] Michael Calonder, Vincent Lepetit, Christoph Strecha, and Pascal Fua. "BRIEF: Binary Robust Independent Elementary * Features" in European Conference on Computer Vision, September 2010. *

* * @author Peter Abeles */ public class DescribePointBrief> { // blurs the image prior to sampling protected BlurFilter filterBlur; // blurred image protected T blur; // computes the binary feature description protected DescribePointBinaryCompare describe; public DescribePointBrief(DescribePointBinaryCompare describe, BlurFilter filterBlur) { this.filterBlur = filterBlur; this.describe = describe; Class imageType = filterBlur.getInputType().getImageClass(); blur = GeneralizedImageOps.createSingleBand(imageType, 1, 1); } /** * Function which creates a description of the appropriate size. * * @return Creates a bew description. */ public TupleDesc_B createFeature() { return new TupleDesc_B(describe.getDefinition().getLength()); } /** * Specifies the image from which feature descriptions are to be created. * * @param image Image being examined. */ public void setImage(T image) { blur.reshape(image.width,image.height); filterBlur.process(image,blur); describe.setImage(image); } /** * Computes the descriptor at the specified point. If the region go outside of the image then a description * will not be made. * * @param c_x Center of region being described. * @param c_y Center of region being described. * @param feature Where the descriptor is written to. */ public void process( double c_x , double c_y , TupleDesc_B feature ) { describe.process((int)c_x,(int)c_y,feature); } public BinaryCompareDefinition_I32 getDefinition() { return describe.getDefinition(); } }




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