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BoofCV is an open source Java library for real-time computer vision and robotics applications.
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/*
* Copyright (c) 2021, 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.abst.feature.detect.interest;
import boofcv.abst.feature.detect.extract.ConfigExtract;
import boofcv.alg.feature.detect.interest.SiftDetector;
import boofcv.factory.feature.detect.selector.ConfigSelectLimit;
import boofcv.struct.Configuration;
/**
* Configuration for {@link SiftDetector}
*
* @author Peter Abeles
*/
public class ConfigSiftDetector implements Configuration {
/**
* Configures non-maximum feature detector across the image
*/
public ConfigExtract extract = new ConfigExtract(2, 0, 1, true, true, true);
/**
* The maximum number of features it can detect in a single scale. Useful if you want to prevent high frequency
* features from dominating. If ≤ 0 then it will have no limit.
*/
public int maxFeaturesPerScale = 0;
/**
* Maximum number of features it will return in total. If ≤ 0 then it will have no limit.
*/
public int maxFeaturesAll = -1;
/**
* Approach used to select features when more than the maximum have been detected
*/
public ConfigSelectLimit selector = ConfigSelectLimit.selectBestN();
/**
* Threshold used to remove edge responses. Larger values means its less strict. Try 10
*/
public double edgeR = 10;
{
extract.ignoreBorder = 1;
}
/**
* Creates a configuration similar to how it was originally described in the paper
*/
public static ConfigSiftDetector createPaper() {
ConfigSiftDetector config = new ConfigSiftDetector();
config.extract = new ConfigExtract(1, 0, 1, true, true, true);
config.extract.ignoreBorder = 1;
config.maxFeaturesPerScale = 0;
config.edgeR = 10;
return config;
}
public ConfigSiftDetector() {
}
public ConfigSiftDetector( int maxFeaturesPerScale ) {
this.maxFeaturesPerScale = maxFeaturesPerScale;
}
@Override public void checkValidity() {}
public ConfigSiftDetector setTo( ConfigSiftDetector src ) {
this.extract.setTo(src.extract);
this.maxFeaturesPerScale = src.maxFeaturesPerScale;
this.maxFeaturesAll = src.maxFeaturesAll;
this.selector.setTo(src.selector);
this.edgeR = src.edgeR;
return this;
}
public ConfigSiftDetector copy() {
return new ConfigSiftDetector().setTo(this);
}
}
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