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BoofCV is an open source Java library for real-time computer vision and robotics applications.
/*
* Copyright (c) 2011-2020, 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.sgm.cost;
import boofcv.alg.descriptor.DescriptorDistance;
import boofcv.alg.disparity.sgm.SgmDisparityCost;
import boofcv.struct.image.GrayS32;
import boofcv.struct.image.GrayS64;
import boofcv.struct.image.GrayU8;
import boofcv.struct.image.ImageBase;
/**
* Computes the cost as the hamming distance between two pixels.
*
* @author Peter Abeles
*/
public abstract class SgmCostHamming> extends SgmCostBase {
public static class U8 extends SgmCostHamming {
@Override
protected void computeDisparityErrors( int idxLeft, int idxRight, int idxOut, int disparityRange ) {
int valLeft = left.data[idxLeft] & 0xFF;
for (int d = 0; d < disparityRange; d++) {
int valRight = right.data[idxRight--] & 0xFF;
costXD.data[idxOut + d] = (short)(SgmDisparityCost.MAX_COST*DescriptorDistance.hamming(valLeft ^ valRight)/8);
}
}
}
public static class S32 extends SgmCostHamming {
@Override
protected void computeDisparityErrors( int idxLeft, int idxRight, int idxOut, int disparityRange ) {
int valLeft = left.data[idxLeft];
for (int d = 0; d < disparityRange; d++) {
int valRight = right.data[idxRight--];
costXD.data[idxOut + d] = (short)(MAX_COST*DescriptorDistance.hamming(valLeft ^ valRight)/32);
}
}
}
public static class S64 extends SgmCostHamming {
@Override
protected void computeDisparityErrors( int idxLeft, int idxRight, int idxOut, int disparityRange ) {
long valLeft = left.data[idxLeft];
for (int d = 0; d < disparityRange; d++) {
long valRight = right.data[idxRight--];
costXD.data[idxOut + d] = (short)(MAX_COST*DescriptorDistance.hamming(valLeft ^ valRight)/64);
}
}
}
}
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