A new likelihood function for stereo matching: how to achieve invariance to unknown texture, gains and offsets?

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    1 Citation (Scopus)

    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 languageEnglish
    Title of host publicationInternational Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2009)
    PublisherINSTICC PRESS
    Pages603-608
    Number of pages6
    ISBN (Print)978-989-8111-74-6
    DOIs
    Publication statusPublished - Feb 2009
    EventInternational Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2009 - Lisboa, Portugal
    Duration: 5 Feb 20098 Feb 2009

    Conference

    ConferenceInternational Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2009
    Abbreviated titleVISIGRAPP
    CountryPortugal
    CityLisboa
    Period5/02/098/02/09

    Fingerprint

    Hidden Markov models
    Invariance
    Textures
    Acoustic waves
    Statistical Models
    Uncertainty

    Keywords

    • NCC
    • HMM
    • SCS-Safety
    • Probabilistic framework
    • Likelihood
    • Stereo reconstruction

    Cite this

    Damjanovic, S., van der Heijden, F., & Spreeuwers, L. J. (2009). A new likelihood function for stereo matching: how to achieve invariance to unknown texture, gains and offsets? In International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2009) (pp. 603-608). INSTICC PRESS. https://doi.org/10.5220/0001793606030608
    Damjanovic, Sanja ; van der Heijden, Ferdinand ; Spreeuwers, Luuk J. / A new likelihood function for stereo matching: how to achieve invariance to unknown texture, gains and offsets?. International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2009). INSTICC PRESS, 2009. pp. 603-608
    @inproceedings{bcc761b63ca64cdf84356bc29d88e817,
    title = "A new likelihood function for stereo matching: how to achieve invariance to unknown texture, gains and offsets?",
    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.",
    keywords = "NCC, HMM, SCS-Safety, Probabilistic framework, Likelihood, Stereo reconstruction",
    author = "Sanja Damjanovic and {van der Heijden}, Ferdinand and Spreeuwers, {Luuk J.}",
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    Damjanovic, S, van der Heijden, F & Spreeuwers, LJ 2009, A new likelihood function for stereo matching: how to achieve invariance to unknown texture, gains and offsets? in International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2009). INSTICC PRESS, pp. 603-608, International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2009, Lisboa, Portugal, 5/02/09. https://doi.org/10.5220/0001793606030608

    A new likelihood function for stereo matching: how to achieve invariance to unknown texture, gains and offsets? / Damjanovic, Sanja; van der Heijden, Ferdinand; Spreeuwers, Luuk J.

    International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2009). INSTICC PRESS, 2009. p. 603-608.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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    Damjanovic S, van der Heijden F, Spreeuwers LJ. A new likelihood function for stereo matching: how to achieve invariance to unknown texture, gains and offsets? In International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2009). INSTICC PRESS. 2009. p. 603-608 https://doi.org/10.5220/0001793606030608