A B C D E F G H I J L M N O P Q R S T U V W

E

eig() - Method in class jama.Matrix

Eigenvalue Decomposition

EigenvalueDecomposition - Class in jama

Eigenvalues and eigenvectors of a real matrix.

EigenvalueDecomposition(Matrix) - Constructor for class jama.EigenvalueDecomposition

Check for symmetry, then construct the eigenvalue decomposition

enhance(FloatArray2D, float) - Static method in class mpi.cbg.fly.Filter

in place enhance all values of a FloatArray to fill the given range

error - Variable in class mpi.cbg.fly.Model

error depends on what kind of algorithm is running small error is better than large error

estimateBestModel(List<PointMatch>, Collection<PointMatch>, float, float, float) - Static method in class mpi.cbg.fly.TModel2D

estimate the transformation model for a set of feature correspondences containing a high number of outliers using RANSAC increase the error as long as not more inliers occur

estimateBestModel(List<PointMatch>, Collection<PointMatch>, float, float, float) - Static method in class mpi.cbg.fly.TRModel2D

estimate the transformation model for a set of feature correspondences containing a high number of outliers using RANSAC increase the error as long as not more inliers occur

estimateModel(List<PointMatch>, Collection<PointMatch>, int, float, float) - Static method in class mpi.cbg.fly.TModel2D

estimate the transformation model for a set of feature correspondences containing a high number of outliers using RANSAC

estimateModel(List<PointMatch>, Collection<PointMatch>, int, float, float) - Static method in class mpi.cbg.fly.TRModel2D

estimate the transformation model for a set of feature correspondences containing a high number of outliers using RANSAC