2013
DOI: 10.1016/j.sigpro.2012.07.022
|View full text |Cite
|
Sign up to set email alerts
|

Crack detection and inpainting for virtual restoration of paintings: The case of the Ghent Altarpiece

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
63
0

Year Published

2015
2015
2024
2024

Publication Types

Select...
3
2
1

Relationship

0
6

Authors

Journals

citations
Cited by 80 publications
(63 citation statements)
references
References 22 publications
0
63
0
Order By: Relevance
“…However, since the cracks themselves are a more or less consistent component throughout all modalities, we used them for the registration process. Crude crack maps are first obtained by filtering the unregistered images with elongated filters and subsequent thresholding (more details of the exact procedure can be found in [7]). It should be noted at this point that the presence of false positives is not a nuisance as long as the locations of most of the cracks in each modality are identified.…”
Section: The Bayesian Conditional Tensor Factorization Methods For Mulmentioning
confidence: 99%
See 4 more Smart Citations
“…However, since the cracks themselves are a more or less consistent component throughout all modalities, we used them for the registration process. Crude crack maps are first obtained by filtering the unregistered images with elongated filters and subsequent thresholding (more details of the exact procedure can be found in [7]). It should be noted at this point that the presence of false positives is not a nuisance as long as the locations of most of the cracks in each modality are identified.…”
Section: The Bayesian Conditional Tensor Factorization Methods For Mulmentioning
confidence: 99%
“…Simply applying the methods described in [7], which were designed for a single image, requires choosing an additional set of parameters per modality, which would be too cumbersome. Here we adopt a semisupervised Bayesian approach that estimates for each pixel a posterior probability of belonging to the "crack" category given a large set of feature vectors extracted over all modalities.…”
Section: The Bayesian Conditional Tensor Factorization Methods For Mulmentioning
confidence: 99%
See 3 more Smart Citations