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From Global to Local Statistical Shape Priors
- Novel Methods to Obtain Accurate Reconstruction Results with a Limited Amount of Training Shapes
part of the Studies in Systems, Decision and Control series
- Binding:
- Paperback
- Pages:
- 259
- Published:
- July 20, 2018
- Edition:
- 12017
- Dimensions:
- 155x235x0 mm.
- Weight:
- 4336 g.
Delivery:
1-2 weeks
Expected delivery: December 6, 2024
Description of From Global to Local Statistical Shape Priors
The approach presented uses a local shape prior in each element of the underlying data domain and couples all local shape priors via smoothness constraints.
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