![JAR search and dependency download from the Maven repository](/logo.png)
boofcv.abst.fiducial.calib.CalibrationDetectorSquareFiducialGrid Maven / Gradle / Ivy
Go to download
Show more of this group Show more artifacts with this name
Show all versions of recognition Show documentation
Show all versions of recognition Show documentation
BoofCV is an open source Java library for real-time computer vision and robotics applications.
/*
* Copyright (c) 2011-2016, 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.fiducial.calib;
import boofcv.abst.geo.calibration.CalibrationDetector;
import boofcv.alg.fiducial.calib.DetectFiducialSquareGrid;
import boofcv.alg.fiducial.square.DetectFiducialSquareBinary;
import boofcv.alg.geo.calibration.CalibrationObservation;
import boofcv.factory.fiducial.FactoryFiducial;
import boofcv.struct.image.GrayF32;
import georegression.struct.point.Point2D_F64;
import java.util.List;
/**
* Wrapper around {@link DetectFiducialSquareGrid} for {@link CalibrationDetector}.
*
* @author Peter Abeles
*/
public class CalibrationDetectorSquareFiducialGrid implements CalibrationDetector {
// number of squares along each grid axis
int numRows;
int numCols;
// number of calibration points along each grid axis
int numPointRows;
int numPointCols;
// layout of points in fiducial frame
List layoutPoints;
// square binary fiducial detector
DetectFiducialSquareGrid detector;
// storage for observations
CalibrationObservation observations;
public CalibrationDetectorSquareFiducialGrid(ConfigSquareGridBinary config) {
DetectFiducialSquareBinary fiducialDetector = FactoryFiducial.
squareBinary(config.configDetector, config.configThreshold, GrayF32.class).getAlgorithm();
detector = new DetectFiducialSquareGrid(config.numRows,config.numCols,config.ids,fiducialDetector);
numRows = config.numRows;
numCols = config.numCols;
numPointRows = 2*numRows;
numPointCols = 2*numCols;
layoutPoints = CalibrationDetectorSquareGrid.createLayout(numRows, numCols, config.squareWidth, config.spaceWidth);
}
@Override
public boolean process(GrayF32 input) {
if( !detector.detect(input) ) {
return false;
}
observations = new CalibrationObservation();
List detections = detector.getDetections();
for (int i = 0; i < detections.size(); i++) {
DetectFiducialSquareGrid.Detection d = detections.get(i);
int row = d.gridIndex/numCols;
int col = d.gridIndex%numCols;
int pointRow = row*2;
int pointCol = col*2;
observations.add(d.location.a,getPointIndex(pointRow, pointCol));
observations.add(d.location.b,getPointIndex(pointRow, pointCol+1));
observations.add(d.location.c,getPointIndex(pointRow+1, pointCol+1));
observations.add(d.location.d,getPointIndex(pointRow+1, pointCol));
}
observations.sort();
return true;
}
private int getPointIndex( int row , int col ) {
return row*numPointCols + col;
}
@Override
public CalibrationObservation getDetectedPoints() {
return observations;
}
@Override
public List getLayout() {
return layoutPoints;
}
}
© 2015 - 2025 Weber Informatics LLC | Privacy Policy