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| Description
| - We propose a novel MRF-based model for image matching. Given two images, the task is to estimate a mapping from one image to another, in order to maximize the matching quality. We consider mappings defined by discrete deformation field constrained to preserve 2-dimensional continuity. We approach the corresponding optimization problem by the TRW-S (sequential Tree-reweighted message passing) algorithm [Wainwright-03, Kolmogorov-05]. Our model design allows for a considerably wider class of natural transformation and yields a compact representation of the optimization task. For this model TRW-S algorithm demonstrated nice practical performance on our experiments. We also propose a concise derivation of the TRW-S algorithm as a sequential maximization of the lower bound on the energy function.
- We propose a novel MRF-based model for image matching. Given two images, the task is to estimate a mapping from one image to another, in order to maximize the matching quality. We consider mappings defined by discrete deformation field constrained to preserve 2-dimensional continuity. We approach the corresponding optimization problem by the TRW-S (sequential Tree-reweighted message passing) algorithm [Wainwright-03, Kolmogorov-05]. Our model design allows for a considerably wider class of natural transformation and yields a compact representation of the optimization task. For this model TRW-S algorithm demonstrated nice practical performance on our experiments. We also propose a concise derivation of the TRW-S algorithm as a sequential maximization of the lower bound on the energy function. (en)
- We propose a novel MRF-based model for image matching. Given two images, the task is to estimate a mapping from one image to another, in order to maximize the matching quality. We consider mappings defined by discrete deformation field constrained to preserve 2-dimensional continuity. We approach the corresponding optimization problem by the TRW-S (sequential Tree-reweighted message passing) algorithm [Wainwright-03, Kolmogorov-05]. Our model design allows for a considerably wider class of natural transformation and yields a compact representation of the optimization task. For this model TRW-S algorithm demonstrated nice practical performance on our experiments. We also propose a concise derivation of the TRW-S algorithm as a sequential maximization of the lower bound on the energy function. (cs)
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| Title
| - Efficient MRF Deformation Model for Image Matching
- Efficient MRF Deformation Model for Image Matching (en)
- Efficient MRF Deformation Model for Image Matching (cs)
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| skos:prefLabel
| - Efficient MRF Deformation Model for Image Matching
- Efficient MRF Deformation Model for Image Matching (en)
- Efficient MRF Deformation Model for Image Matching (cs)
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| skos:notation
| - RIV/68407700:21230/06:03124647!RIV09-MSM-21230___
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| http://linked.open...avai/riv/aktivita
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| http://linked.open...avai/riv/aktivity
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| http://linked.open...vai/riv/dodaniDat
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| http://linked.open...aciTvurceVysledku
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| http://linked.open.../riv/druhVysledku
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| http://linked.open...iv/duvernostUdaju
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| http://linked.open...titaPredkladatele
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| http://linked.open...dnocenehoVysledku
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| http://linked.open...ai/riv/idVysledku
| - RIV/68407700:21230/06:03124647
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| http://linked.open...riv/jazykVysledku
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| http://linked.open.../riv/klicovaSlova
| - Energy minimization; MRF; early vision; graphical models; message passing; optical flow; registration (en)
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| http://linked.open.../riv/klicoveSlovo
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| http://linked.open...ontrolniKodProRIV
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| http://linked.open...in/vavai/riv/obor
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| http://linked.open...ichTvurcuVysledku
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| http://linked.open...cetTvurcuVysledku
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| http://linked.open...vavai/riv/projekt
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| http://linked.open...UplatneniVysledku
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| http://linked.open...iv/tvurceVysledku
| - Hlaváč, Václav
- Shekhovtsov, Oleksandr
- Kovtun, I.
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| http://localhost/t...ganizacniJednotka
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