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Recent advances in shape correspondence
Important new developments have appeared since the most recent direct survey on shape
correspondence published almost a decade ago. Our survey covers the period from 2011 …
correspondence published almost a decade ago. Our survey covers the period from 2011 …
A qualitative review on 3D coarse registration methods
3D registration or matching is a crucial step in 3D model reconstruction. Registration
applications span along a variety of research fields, including computational geometry …
applications span along a variety of research fields, including computational geometry …
Meshwalker: Deep mesh understanding by random walks
Most attempts to represent 3D shapes for deep learning have focused on volumetric grids,
multi-view images and point clouds. In this paper we look at the most popular representation …
multi-view images and point clouds. In this paper we look at the most popular representation …
Learning class‐specific descriptors for deformable shapes using localized spectral convolutional networks
In this paper, we propose a generalization of convolutional neural networks (CNN) to non‐
Euclidean domains for the analysis of deformable shapes. Our construction is based on …
Euclidean domains for the analysis of deformable shapes. Our construction is based on …
BrainPrint: A discriminative characterization of brain morphology
We introduce BrainPrint, a compact and discriminative representation of brain morphology.
BrainPrint captures shape information of an ensemble of cortical and subcortical structures …
BrainPrint captures shape information of an ensemble of cortical and subcortical structures …
Whole-brain analysis reveals increased neuroanatomical asymmetries in dementia for hippocampus and amygdala
Structural magnetic resonance imaging data are frequently analysed to reveal
morphological changes of the human brain in dementia. Most contemporary imaging …
morphological changes of the human brain in dementia. Most contemporary imaging …
Recent trends, applications, and perspectives in 3d shape similarity assessment
The recent introduction of 3D shape analysis frameworks able to quantify the deformation of
a shape into another in terms of the variation of real functions yields a new interpretation of …
a shape into another in terms of the variation of real functions yields a new interpretation of …
[HTML][HTML] Increased hippocampal shape asymmetry and volumetric ventricular asymmetry in autism spectrum disorder
Autism spectrum disorder (ASD) is a prevalent and fast-growing pervasive
neurodevelopmental disorder worldwide. Despite the increasing prevalence of ASD and the …
neurodevelopmental disorder worldwide. Despite the increasing prevalence of ASD and the …
Globally approximate gaussian processes for big data with application to data-driven metamaterials design
We introduce a novel method for Gaussian process (GP) modeling of massive datasets
called globally approximate Gaussian process (GAGP). Unlike most large-scale supervised …
called globally approximate Gaussian process (GAGP). Unlike most large-scale supervised …
Data-driven metamaterial design with Laplace-Beltrami spectrum as “shape-DNA”
The design of multiscale metamaterial systems often suffers from high computational cost
and incompatible boundaries between unit cells. As a result, unit cells are either assumed to …
and incompatible boundaries between unit cells. As a result, unit cells are either assumed to …