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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.alg.disparity.block.select;
import boofcv.alg.disparity.block.DisparitySparseSelect;
import boofcv.alg.disparity.block.score.DisparitySparseRectifiedScoreBM;
/**
*
* Selects the disparity with the lowest score with no additional validation. Lack
* of validation speeds up the code at the cost of reduced signal to noise ratio. This
* strategy of selecting the lowest score is also known as Winner Take All (WTA).
*
*
* @author Peter Abeles
*/
public class SelectSparseErrorBasicWta_S32 implements DisparitySparseSelect {
// selected disparity
int disparity;
@Override
public boolean select( DisparitySparseRectifiedScoreBM scorer, int x, int y ) {
if (!scorer.processLeftToRight(x, y))
return false;
int[] scores = scorer.getScoreLtoR();
int disparityRange = scorer.getLocalRangeLtoR();
disparity = 0;
int best = scores[0];
for (int i = 1; i < disparityRange; i++) {
if (scores[i] < best) {
best = scores[i];
disparity = i;
}
}
return true;
}
@Override
public double getDisparity() {
return disparity;
}
}
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