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    Article

    Deep similarity network fusion for 3D shape classification

    In this paper, we introduce a deep similarity network fusion framework for 3D shape classification using a graph convolutional neural network, which is an efficient and scalable deep learning model for graph-s...

    Lorenzo Luciano, A. Ben Hamza in The Visual Computer (2019)

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    Article

    Retrieval and classification methods for textured 3D models: a comparative study

    This paper presents a comparative study of six methods for the retrieval and classification of textured 3D models, which have been selected as representative of the state of the art. To better analyse and cont...

    S. Biasotti, A. Cerri, M. Aono, A. Ben Hamza, V. Garro, A. Giachetti in The Visual Computer (2016)

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    Article

    A multiresolution descriptor for deformable 3D shape retrieval

    In this paper, we present a spectral graph wavelet framework for the analysis and design of efficient shape signatures for nonrigid 3D shape retrieval. Although this work focuses primarily on shape retrieval, ...

    Chunyuan Li, A. Ben Hamza in The Visual Computer (2013)

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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)

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    Article

    Reeb graph path dissimilarity for 3D object matching and retrieval

    We introduce a skeletal graph for topological 3D shape representation using Morse theory. The proposed skeletonization algorithm encodes a 3D shape into a topological Reeb graph using a normalized mixture dist...

    Waleed Mohamed, A. Ben Hamza in The Visual Computer (2012)

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    Chapter and Conference Paper

    Retrieving Articulated 3D Objects Using Normalized Distance Function

    In this paper we propose a skeletonization approach that encodes a 3D object into a skeletal Reeb graph using a normalized mixture distance function. Then, we introduce a novel graph matching algorithm by comp...

    Waleed Mohamed, A. Ben Hamza in Articulated Motion and Deformable Objects (2010)

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    Chapter and Conference Paper

    Nonextensive Entropic Image Registration

    We present an image registration approach by optimizing an information divergence based on the nonextensive Tsallis entopy. The optimization is carried out using a modified simultaneous perturbation stochastic...

    Waleed Mohamed, A. Ben Hamza in Image Analysis and Recognition (2009)

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    Chapter and Conference Paper

    MPEG Video Watermarking Using Tensor Singular Value Decomposition

    In this paper, we introduce a new watermarking algorithm to embed an invisible watermark into the intra-frames of an MPEG video sequence. Unlike previous methods where each video frame is marked separately, ou...

    Emad E. Abdallah, A. Ben Hamza, Prabir Bhattacharya in Image Analysis and Recognition (2007)

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    Chapter and Conference Paper

    Image Registration and Segmentation by Maximizing the Jensen-Rényi Divergence

    Information theoretic measures provide quantitative entropic divergences between two probability distributions or data sets. In this paper, we analyze the theoretical properties of the Jensen-Rényi divergence ...

    A. Ben Hamza, Hamid Krim in Energy Minimization Methods in Computer Vi… (2003)

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    Chapter and Conference Paper

    A Variational Approach to Maximum a Posteriori Estimation for Image Denoising

    Using first principles, we establish in this paper a connection between the maximum a posteriori (MAP) estimator and the variational formulation of optimizing a given functional subject to some noise constraints....

    A. Ben Hamza, Hamid Krim in Energy Minimization Methods in Computer Vi… (2001)