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  1. No Access

    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

    Spatially aggregating spectral descriptors for nonrigid 3D shape retrieval: a comparative survey

    This paper presents a comprehensive review and analysis of recent spectral shape descriptors for nonrigid 3D shape retrieval. More specifically, we compare the latest spectral descriptors based on the Laplace–...

    Chunyuan Li, A. Ben Hamza in Multimedia Systems (2014)

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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)

  5. No Access

    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)