On orientation estimation using iterative methods in Euclidean space.
Martin A. SkoglundZoran SjanicManon KokPublished in: FUSION (2017)
Keyphrases
- euclidean space
- iterative methods
- orientation estimation
- shape analysis
- vector space
- rotation invariant
- metric space
- data points
- low dimensional
- computationally expensive
- euclidean distance
- structure tensor
- constrained optimization
- radon transform
- iterative algorithms
- machine learning
- reproducing kernel hilbert space
- anisotropic diffusion
- computer vision
- medical images