code: public static <T extends ImageGray<T>, D extends ImageGray<D>>
  	FeatureLaplacePyramid<T, D> hessianLaplace(int extractRadius,
  											   float detectThreshold,
  											   int maxFeatures,
  											   Class<T> imageType,
  											   Class<D> derivType) {
  		GeneralFeatureIntensity<T, D> intensity = new WrapperHessianBlobIntensity<>(HessianBlobIntensity.Type.DETERMINANT, derivType);
  		NonMaxSuppression extractor = FactoryFeatureExtractor.nonmax(
  				new ConfigExtract(extractRadius, detectThreshold, extractRadius, true));
  		GeneralFeatureDetector<T, D> detector = new GeneralFeatureDetector<>(intensity, extractor);
  		detector.setMaxFeatures(maxFeatures);
  
  		AnyImageDerivative<T, D> deriv = GImageDerivativeOps.derivativeForScaleSpace(imageType, derivType);
  
  		ImageFunctionSparse<T> sparseLaplace = FactoryDerivativeSparse.createLaplacian(imageType, null);
  
  		return new FeatureLaplacePyramid<>(detector, sparseLaplace, deriv, 2);
  	}
docs: Creates a {@link boofcv.alg.feature.detect.interest.FeatureLaplacePyramid} which is uses a hessian blob detector.
  
  @param extractRadius   Size of the feature used to detect the corners.
  @param detectThreshold Minimum corner intensity required
  @param maxFeatures     Max number of features that can be found.
  @param imageType       Type of input image.
  @param derivType       Image derivative type.
  @return CornerLaplaceScaleSpace