Quantised Angular Momentum Vectors and Projection Angle Distributions for Discrete Radon Transformations.
Imants D. SvalbeShekhar ChandraAndrew KingstonJean-Pierre GuédonPublished in: DGCI (2006)
Keyphrases
- radon transform
- efficient algorithms to compute
- rotation angle
- covariance matrices
- probability distribution
- random vectors
- matrix representation
- fourier transform
- discrete version
- feature detection
- projection method
- discrete geometry
- vector space
- power law
- convex sets
- finite number
- d objects
- hough transform
- image reconstruction
- sample space
- output space
- learning rate
- limited angle
- multivariate gaussian
- feature vectors