Curvature Prior for MRF-based Segmentation and Shape Inpainting

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F12%3A00200404" target="_blank" >RIV/68407700:21230/12:00200404 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Curvature Prior for MRF-based Segmentation and Shape Inpainting
Original language description
Most image labeling problems such as segmentation and image reconstruction are fundamentally ill-posed and suffer from ambiguities and noise. Higher order image priors encode high level structural dependencies between pixels and are key to overcoming these problems. However, these priors in general lead to computationally intractable models. This paper addresses the problem of discovering compact representations of higher order priors which allow efficient inference. We propose a framework for solving this problem which uses a recently proposed representation of higher order functions where they are encoded as lower envelopes of linear functions. Maximum a Posterior inference on our learned models reduces to minimizing a pairwise function of discrete variables, which can be done approximately using standard methods. We show that our framework can learn a compact representation that approximates a prior that encourages low curvature shapes. We evaluate the approximation accuracy, discus
Czech name
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Czech description
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Project
<a href="/en/project/7E10044" target="_blank" >7E10044: Natural human-robot cooperation in dynamic environments</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
DAGM/OAGM 2012: Pattern Recognition - Joint 34th DAGM and 36th OAGM Symposium
ISBN
978-3-642-32716-2
ISSN
0302-9743
e-ISSN
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Number of pages
11
Pages from-to
41-51
Publisher name
Springer
Place of publication
Heidelberg
Event location
Graz
Event date
Aug 29, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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