/*
* 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.alg.feature.detect.intensity;
import boofcv.alg.InputSanityCheck;
import boofcv.alg.feature.detect.intensity.impl.ImplKitRosCornerIntensity;
import boofcv.struct.image.GrayF32;
import boofcv.struct.image.GrayS16;
/**
*
* Implementation of the Kitchen and Rosenfeld corner detector as described in [1]. Unlike the KLT or Harris corner
* detectors this corner detector is designed to detect corners on the actual corner. Because it uses requires the
* image's local curvature it uses the second derivative, also known as the Hessian.
*
*
*
* [1] Page 393 of E.R. Davies, "Machine Vision Theory Algorithms Practicalities," 3rd ed. 2005
*
*
* @author Peter Abeles
*/
public class KitRosCornerIntensity {
public static void process(GrayF32 featureIntensity,
GrayF32 derivX, GrayF32 derivY,
GrayF32 hessianXX, GrayF32 hessianYY , GrayF32 hessianXY )
{
InputSanityCheck.checkSameShape(derivX,derivY,hessianXX,hessianYY,hessianXY);
InputSanityCheck.checkSameShape(derivX,featureIntensity);
ImplKitRosCornerIntensity.process(featureIntensity,derivX,derivY,hessianXX,hessianYY,hessianXY);
}
public static void process(GrayF32 featureIntensity,
GrayS16 derivX, GrayS16 derivY,
GrayS16 hessianXX, GrayS16 hessianYY , GrayS16 hessianXY )
{
InputSanityCheck.checkSameShape(derivX,derivY,hessianXX,hessianYY,hessianXY);
InputSanityCheck.checkSameShape(derivX,featureIntensity);
ImplKitRosCornerIntensity.process(featureIntensity,derivX,derivY,hessianXX,hessianYY,hessianXY);
}
}
Ads help maintain this website.