We introduce the Wave Kernel Signature (WKS) for characterizing points on non-rigid three-
dimensional shapes. The WKS represents the average probability of measuring a quantum …

The computer vision and pattern recognition communities have recently witnessed a surge
of feature-based methods in object recognition and image retrieval applications. These …

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 …

A common operation in many geometry processing algorithms consists of finding
correspondences between pairs of shapes by finding structure‐preserving maps between …

In this work, we present intrinsic shape context (ISC) descriptors for 3D shapes. We
generalize to surfaces the polar sampling of the image domain used in shape contexts: for …

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 …

Spectral methods have recently gained popularity in many domains of computer graphics
and geometry processing, especially shape processing, computation of shape descriptors …

In this paper, we present a framework for detecting interest points in 3-D meshes and
computing their corresponding descriptors. For that, we propose an intrinsic scale detection …

Large-scale 3D shape retrieval has become an important research direction in content-
based 3D shape retrieval. To promote this research area, two Shape Retrieval Contest …

This paper presents a framework for object recognition using topological persistence. In
particular, we show that the so-called persistence diagrams built from functions defined on …