Abstract
We introduce a new likelihood function for window-based stereo matching. This likelihood can cope with unknown textures, uncertain gain factors, uncertain offsets, and correlated noise. The method can be finetuned to the uncertainty ranges of the gains and offsets, rather than a full, blunt normalization as in NCC (normalized cross correlation). The likelihood is based on a sound probabilistic model. As such it can be directly used within a probabilistic framework. We demonstrate this by embedding the likelihood in a HMM (hidden Markov model) formulation of the 3D reconstruction problem, and applying this to a test scene. We compare the reconstruction results with the results when the similarity measure is the NCC, and we show that our likelihood fits better within the probabilistic frame for stereo matching than NCC.
Original language | English |
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Title of host publication | International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2009) |
Publisher | INSTICC PRESS |
Pages | 603-608 |
Number of pages | 6 |
ISBN (Print) | 978-989-8111-74-6 |
DOIs | |
Publication status | Published - Feb 2009 |
Event | International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2009 - Lisboa, Portugal Duration: 5 Feb 2009 → 8 Feb 2009 |
Conference
Conference | International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2009 |
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Abbreviated title | VISIGRAPP |
Country/Territory | Portugal |
City | Lisboa |
Period | 5/02/09 → 8/02/09 |
Keywords
- NCC
- HMM
- SCS-Safety
- Probabilistic framework
- Likelihood
- Stereo reconstruction