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  1. No Access

    Chapter and Conference Paper

    TSCom-Net: Coarse-to-Fine 3D Textured Shape Completion Network

    Reconstructing 3D human body shapes from 3D partial textured scans remains a fundamental task for many computer vision and graphics applications – e.g., body animation, and virtual dressing. We propose a new neur...

    Ahmet Serdar Karadeniz, Sk Aziz Ali, Anis Kacem in Computer Vision – ECCV 2022 Workshops (2023)

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    Chapter and Conference Paper

    Space-Time Triplet Loss Network for Dynamic 3D Face Verification

    In this paper, we propose a new approach for 3D dynamic face verification exploiting 3D facial deformations. First, 3D faces are encoded into low-dimensional representations describing the local deformations o...

    Anis Kacem, Hamza Ben Abdesslam in Pattern Recognition. ICPR International Wo… (2021)

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    Chapter and Conference Paper

    SHARP 2020: The 1st Shape Recovery from Partial Textured 3D Scans Challenge Results

    The SHApe Recovery from Partial textured 3D scans challenge, SHARP 2020, is the first edition of a challenge fostering and benchmarking methods for recovering complete textured 3D scans from raw incomplete data. ...

    Alexandre Saint, Anis Kacem, Kseniya Cherenkova in Computer Vision – ECCV 2020 Workshops (2020)

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    Chapter

    The Riemannian and Affine Geometry of Facial Expression and Action Recognition

    Recent advances in human 2D and 3D landmarks tracking have made it possible to model facial expression and action recognition as a temporal sequence of landmarks. We work directly with the Euclidean or affine ...

    Mohamed Daoudi, Juan-Carlos Alvarez Paiva in Handbook of Variational Methods for Nonlin… (2020)

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    Chapter and Conference Paper

    3DBooSTeR: 3D Body Shape and Texture Recovery

    We propose 3DBooSTeR, a novel method to recover a textured 3D body mesh from a textured partial 3D scan. With the advent of virtual and augmented reality, there is a demand for creating realistic and high-fide...

    Alexandre Saint, Anis Kacem, Kseniya Cherenkova in Computer Vision – ECCV 2020 Workshops (2020)

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    Chapter and Conference Paper

    Graph Structuring of Skeleton Object for Its High-Level Exploitation

    Skeletonization is a morphological operation that summarizes an object by its median lines while preserving the initial image topology. It provides features used in biometric for the matching process, as well ...

    Rabaa Youssef, Anis Kacem, Sylvie Sevestre-Ghalila in Image Analysis and Recognition (2015)

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    Article

    A Finite Volume Framework for Geometric Surface Processing

    We present a surface denoising method using the vertex-centered finite volume method coupled with the mesh covariance fractional anisotropy. The approach is computationally fast and able to effectively remove ...

    Anis Kacem, A. Ben Hamza in Journal of Signal Processing Systems (2014)

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    Chapter and Conference Paper

    Spectral Geometric Descriptor for Deformable 3D Shape Matching and Retrieval

    We propose a spectral-geometric skeletal graph for nonrigid 3D shape retrieval. The skeleton is constructed from the isocontours of the second eigenfunction of the Laplace-Beltrami operator. We also introduce ...

    Anis Kacem, Waleed Mohamed, A. Ben Hamza in Image Analysis and Recognition (2013)