![JAR search and dependency download from the Maven repository](/logo.png)
boofcv.abst.fiducial.calib.CalibrationDetectorChessboard 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.filter.binary.InputToBinary;
import boofcv.abst.geo.calibration.CalibrationDetector;
import boofcv.alg.fiducial.calib.chess.DetectChessboardFiducial;
import boofcv.alg.geo.calibration.CalibrationObservation;
import boofcv.alg.shapes.polygon.BinaryPolygonDetector;
import boofcv.alg.shapes.polygon.RefineBinaryPolygon;
import boofcv.factory.filter.binary.FactoryThresholdBinary;
import boofcv.factory.shape.FactoryShapeDetector;
import boofcv.struct.image.GrayF32;
import georegression.struct.point.Point2D_F64;
import java.util.ArrayList;
import java.util.List;
/**
* Wrapper around {@link DetectChessboardFiducial} for {@link CalibrationDetector}
*
* @author Peter Abeles
*/
public class CalibrationDetectorChessboard implements CalibrationDetector {
DetectChessboardFiducial alg;
List layoutPoints;
CalibrationObservation detected;
public CalibrationDetectorChessboard(ConfigChessboard config) {
RefineBinaryPolygon refineLine =
FactoryShapeDetector.refinePolygon(config.configRefineLines,GrayF32.class);
RefineBinaryPolygon refineCorner = config.refineWithCorners ?
FactoryShapeDetector.refinePolygon(config.configRefineLines,GrayF32.class) : null;
config.square.refine = null;
BinaryPolygonDetector detectorSquare =
FactoryShapeDetector.polygon(config.square,GrayF32.class);
InputToBinary inputToBinary =
FactoryThresholdBinary.threshold(config.thresholding,GrayF32.class);
alg = new DetectChessboardFiducial(
config.numRows, config.numCols, config.maximumCornerDistance,detectorSquare,
refineLine,refineCorner,inputToBinary);
layoutPoints = gridChess(config.numRows, config.numCols, config.squareWidth);
}
@Override
public boolean process(GrayF32 input) {
if( alg.process(input) ) {
detected = new CalibrationObservation();
List found = alg.getCalibrationPoints();
for (int i = 0; i < found.size(); i++) {
detected.add( found.get(i) , i );
}
return true;
} else {
return false;
}
}
@Override
public CalibrationObservation getDetectedPoints() {
return detected;
}
@Override
public List getLayout() {
return layoutPoints;
}
/**
* Returns number of rows in the chessboard grid
* @return number of rows
*/
public int getGridRows() {
return alg.getRows();
}
/**
* Returns number of columns in the chessboard grid
* @return number of columns
*/
public int getGridColumns() {
return alg.getColumns();
}
public DetectChessboardFiducial getAlgorithm() {
return alg;
}
/**
* This target is composed of a checkered chess board like squares. Each corner of an interior square
* touches an adjacent square, but the sides are separated. Only interior square corners provide
* calibration points.
*
* @param numRows Number of grid rows in the calibration target
* @param numCols Number of grid columns in the calibration target
* @param squareWidth How wide each square is. Units are target dependent.
* @return Target description
*/
public static List gridChess(int numRows, int numCols, double squareWidth)
{
List all = new ArrayList();
// convert it into the number of calibration points
numCols = numCols - 1;
numRows = numRows - 1;
// center the grid around the origin. length of a size divided by two
double startX = -((numCols-1)*squareWidth)/2.0;
double startY = -((numRows-1)*squareWidth)/2.0;
for( int i = numRows-1; i >= 0; i-- ) {
double y = startY+i*squareWidth;
for( int j = 0; j < numCols; j++ ) {
double x = startX+j*squareWidth;
all.add( new Point2D_F64(x,y));
}
}
return all;
}
}
© 2015 - 2025 Weber Informatics LLC | Privacy Policy