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BoofCV is an open source Java library for real-time computer vision and robotics applications.
/*
* Copyright (c) 2011-2015, 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.descriptor;
import boofcv.struct.feature.NccFeature;
import boofcv.struct.feature.TupleDesc_F64;
import boofcv.struct.feature.TupleDesc_S8;
import boofcv.struct.feature.TupleDesc_U8;
/**
* Converts between different types of descriptions
*
* @author Peter Abeles
*/
public class ConvertDescriptors {
/**
* Converts a floating point description with all positive values into the 8-bit integer descriptor by
* dividing each element in the input by the element maximum value and multiplying by 255.
*
* @param input Description with elements that are all positive
* @param output Unsigned 8-bit output
*/
public static void positive( TupleDesc_F64 input , TupleDesc_U8 output ) {
double max = 0;
for( int i = 0; i < input.size(); i++ ) {
double v = input.value[i];
if( v > max )
max = v;
}
if( max == 0 )
max = 1.0;
for( int i = 0; i < input.size(); i++ ) {
output.value[i] = (byte)(255.0*input.value[i]/max);
}
}
/**
* Converts a floating point description with real values into the 8-bit integer descriptor by
* dividing each element in the input by the element maximum absolute value and multiplying by 127.
*
* @param input Description with elements that are all positive
* @param output Unsigned 8-bit output
*/
public static void real( TupleDesc_F64 input , TupleDesc_S8 output ) {
double max = 0;
for( int i = 0; i < input.size(); i++ ) {
double v = Math.abs(input.value[i]);
if( v > max )
max = v;
}
for( int i = 0; i < input.size(); i++ ) {
output.value[i] = (byte)(127.0*input.value[i]/max);
}
}
/**
* Converts a regular feature description into a NCC feature description
* @param input Tuple descriptor. (not modified)
* @param output The equivalent NCC feature. (modified)
*/
public static void convertNcc( TupleDesc_F64 input , NccFeature output ) {
if( input.size() != output.size() )
throw new IllegalArgumentException("Feature lengths do not match.");
double mean = 0;
for (int i = 0; i < input.value.length; i++) {
mean += input.value[i];
}
mean /= input.value.length;
double variance = 0;
for( int i = 0; i < input.value.length; i++ ) {
double d = output.value[i] = input.value[i] - mean;
variance += d*d;
}
variance /= output.size();
output.mean = mean;
output.sigma = Math.sqrt(variance);
}
}