- scale - Variable in class mpi.cbg.fly.Feature
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- set(int, int, double) - Method in class jama.Matrix
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Set a single element.
- set(float, int, int) - Method in class mpi.cbg.fly.FloatArray2D
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- set_fdsize(int) - Static method in class mpi.cbg.fly.SIFT
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- set_initial_sigma(float) - Static method in class mpi.cbg.fly.SIFT
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- set_max_size(int) - Static method in class mpi.cbg.fly.SIFT
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- set_min_size(int) - Static method in class mpi.cbg.fly.SIFT
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- set_steps(int) - Static method in class mpi.cbg.fly.SIFT
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- setMatrix(int, int, int, int, Matrix) - Method in class jama.Matrix
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Set a submatrix.
- setMatrix(int[], int[], Matrix) - Method in class jama.Matrix
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Set a submatrix.
- setMatrix(int[], int, int, Matrix) - Method in class jama.Matrix
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Set a submatrix.
- setMatrix(int, int, int[], Matrix) - Method in class jama.Matrix
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Set a submatrix.
- setWeight(float) - Method in class mpi.cbg.fly.PointMatch
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- shake(Collection<PointMatch>, float, float[]) - Method in class mpi.cbg.fly.Model
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randomly change the model a bit
estimates the necessary amount of shaking for each single dimensional
distance in the set of matches
- shake(Collection<PointMatch>, float, float[]) - Method in class mpi.cbg.fly.TModel2D
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change the model a bit
estimates the necessary amount of shaking for each single dimensional
distance in the set of matches
- shake(Collection<PointMatch>, float, float[]) - Method in class mpi.cbg.fly.TRModel2D
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change the model a bit
estimates the necessary amount of shaking for each single dimensional
distance in the set of matches
- SIFT - Class in mpi.cbg.fly
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- SIFT() - Constructor for class mpi.cbg.fly.SIFT
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- SIGMA - Variable in class mpi.cbg.fly.FloatArray2DScaleOctave
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sigma of gaussian kernels corresponding to the steps of the octave
the first member is the sigma of the gaussian kernel that is assumed to
be the generating kernel of the first gaussian image instance of the
octave
- SingularValueDecomposition - Class in jama
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Singular Value Decomposition.
- SingularValueDecomposition(Matrix) - Constructor for class jama.SingularValueDecomposition
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Construct the singular value decomposition
- solve(Matrix) - Method in class jama.CholeskyDecomposition
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Solve A*X = B
- solve(Matrix) - Method in class jama.LUDecomposition
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Solve A*X = B
- solve(Matrix) - Method in class jama.Matrix
-
Solve A*X = B
- solve(Matrix) - Method in class jama.QRDecomposition
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Least squares solution of A*X = B
- solveTranspose(Matrix) - Method in class jama.Matrix
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Solve X*A = B, which is also A'*X' = B'
- state - Variable in class mpi.cbg.fly.FloatArray2DScaleOctave
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- STEPS - Variable in class mpi.cbg.fly.FloatArray2DScaleOctave
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steps per octave
an octave consists of STEPS + 3 images to be
- steps() - Static method in class mpi.cbg.fly.SIFT
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- svd() - Method in class jama.Matrix
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Singular Value Decomposition