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BoofCV is an open source Java library for real-time computer vision and robotics applications.
/*
* Copyright (c) 2011-2018, 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.geo;
import boofcv.struct.geo.AssociatedTriple;
import org.ejml.data.DMatrixRMaj;
import java.util.List;
/**
* Refines the camera matrices from three views. This is the same as refining the
* trifocal tensor.
*
* @author Peter Abeles
*/
public interface RefineThreeViewProjective {
/**
* Refines the camera matrices from three views. The first view is assumed to be P1 = [I|0]. It's
* recommended that observations already be normalized so that they have a mean of 0 and standard
* deviation of 1, or similar.
*
* @param observations (Input) Pixel observations from each view
* @param P2 (Input) Initial estimate camera matrix from view 2
* @param P3 (Input) Initial estimate camera matrix from view 3
* @param refinedP2 (Output) Refined estimate of camera matrix from view 2
* @param refinedP3 (Output) Refined estimate of camera matrix from view 3
* @return true if successful or false if it failed
*/
boolean process(List observations , DMatrixRMaj P2 , DMatrixRMaj P3,
DMatrixRMaj refinedP2 , DMatrixRMaj refinedP3 );
}
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