Search Results - "Jribi, Majdi"

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  1. 1

    A geodesic multipolar parameterization-based representation for 3D face recognition by Jribi, Majdi, Mathlouthi, Soumaya, Ghorbel, Faouzi

    Published in Signal processing. Image communication (01-11-2021)
    “…Here, we propose a new 3D representation designed in the objective of face recognition independently of the expressions. It is defined on localities presenting…”
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    Journal Article
  2. 2

    An SE(3) invariant description for 3D face recognition by Jribi, Majdi, Rihani, Amal, Ben Khlifa, Ameni, Ghorbel, Faouzi

    Published in Image and vision computing (01-09-2019)
    “…Here, we intend to introduce a novel 3D face description which is invariant under the Special Euclidean group SE(3) and independent to the original surface…”
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    Journal Article
  3. 3

    Quantitative evaluation of fiber tractography with a Delaunay triangulation–based interpolation approach by Alaya, Ines Ben, Jribi, Majdi, Ghorbel, Faouzi, Mars, Mokhtar, Kraiem, Tarek

    “…The recent challenge in high angular resolution diffusion imaging (HARDI) is to find a tractography process that provides information about the neural…”
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    Journal Article
  4. 4
  5. 5

    A robust invariant bipolar representation for R3 surfaces: applied to the face description by Ghorbel, Faouzi, Jribi, Majdi

    Published in Annales des télécommunications (2013)
    “…In this paper, we intend to introduce a novel invariant curved surface representation under the 3D motion group. It is constructed from the superposition of…”
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    Journal Article
  6. 6
  7. 7

    A robust and isotropic curved surface representation for 3D faces description by Jribi, Majdi, Ghorbel, Faouzi

    “…A novel curved surface representation which is relatively invariant under the transformations of the 3D motion group is introduced in this paper. It is…”
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    Conference Proceeding
  8. 8

    Unsupervised classifier based on geodesic invariant 3D curve for face surfaces analysis by Jribi, Majdi, Ghorbel, F, Mabrouk, S

    “…Here, we intend to introduce new face invariant descriptors, composed by two kinds of features, in order to explore the problem of faces classification. The…”
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    Conference Proceeding