From Global to Local Statistical Shape Priors is popular PDF and ePub book, written by Carsten Last in 2017-03-14, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, From Global to Local Statistical Shape Priors can be Read Online from any device for your convenience.
From Global to Local Statistical Shape Priors Book PDF Summary
This book proposes a new approach to handle the problem of limited training data. Common approaches to cope with this problem are to model the shape variability independently across predefined segments or to allow artificial shape variations that cannot be explained through the training data, both of which have their drawbacks. 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. The book provides a sound mathematical foundation in order to embed this new shape prior formulation into the well-known variational image segmentation framework. The new segmentation approach so obtained allows accurate reconstruction of even complex object classes with only a few training shapes at hand.
Detail Book of From Global to Local Statistical Shape Priors PDF
- Author : Carsten Last
- Release : 14 March 2017
- Publisher : Springer
- ISBN : 9783319535081
- Genre : Technology & Engineering
- Total Page : 270 pages
- Language : English
- PDF File Size : 19,7 Mb
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