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BoofCV is an open source Java library for real-time computer vision and robotics applications.
/*
* 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.factory.geo;
import boofcv.misc.BoofMiscOps;
import boofcv.struct.Configuration;
/**
* Configuration parameters for estimating a fundamental matrix robustly.
*
* @author Peter Abeles
*/
public class ConfigFundamental implements Configuration {
/**
* Which algorithm should it use.
*/
public EnumFundamental which = EnumFundamental.LINEAR_7;
/**
* How many points should be used to resolve ambiguity in the solutions?
*/
public int numResolve = 2;
/**
* If computed robustly this specifies the error model that's used to prune outliers
*/
public ErrorModel errorModel = ErrorModel.GEOMETRIC;
public ConfigFundamental() {
}
public ConfigFundamental setTo( ConfigFundamental src ) {
this.which = src.which;
this.numResolve = src.numResolve;
this.errorModel = src.errorModel;
return this;
}
@Override
public void checkValidity() {
if (which == EnumFundamental.LINEAR_8)
return;
BoofMiscOps.checkTrue(numResolve > 0, "At least one point is required to handle ambiguity");
}
public enum ErrorModel {
/**
* Second order approximation of the Euclidean error function.
*/
SAMPSON,
/**
* Uses a Euclidean error model. The 3D location of triangulated points are found and the pixel error resulting
* from that.
*/
GEOMETRIC
}
}
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