A Mathematical Foundation for the Spatial Uncertainty of Critical Points in Probabilistic Scalar Fields.
Dominik VietinghoffMichael BöttingerGerik ScheuermannChristian HeinePublished in: CoRR (2023)
Keyphrases
- critical points
- mathematical foundations
- scalar field
- uncertain data
- vector field
- probability theory
- scale space
- conditional probabilities
- saddle points
- decision theory
- deep structure
- probability measures
- spatial data
- spatial information
- reference points
- vector valued
- belief functions
- computer vision
- probabilistic model
- image processing
- endpoints
- three dimensional
- gaussian scale space
- machine learning
- belief networks
- bayesian networks
- image segmentation
- decision trees