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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...
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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...
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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, ...
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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 ...
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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...
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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...
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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...
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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...
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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 ...
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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....