Provably correct reconstruction of surfaces from sparse noisy samples.
Peer StelldingerLeonid TcherniavskiPublished in: Pattern Recognit. (2009)
Keyphrases
- provably correct
- compressed sensing
- compressive sensing
- three dimensional
- sparsely sampled
- signal reconstruction
- surface model
- image reconstruction
- situation calculus
- formal methods
- deformable surface
- random projections
- low rank textures
- surface reconstruction
- surface representation
- reconstruction method
- sparse signal representation
- arbitrary topology
- data sets
- free form
- binary matrices
- error estimates
- range images
- training set
- high resolution
- discrete tomography
- sparse coding
- range data
- visual hull
- sparse representation
- implicit surfaces
- interval arithmetic
- high dimensional
- software systems
- surface properties
- sparsity constraints
- object oriented
- shape recovery