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 …

Abstract Objects Matching is a ubiquitous problem in computer science with particular
relevance for many applications; property transfer between 3D models and statistical study …

Feature Selection Library (FSLib) is a widely applicable MATLAB library for Feature
Selection (FS). FS is an essential component of machine learning and data mining which …

We introduce a new method for non‐rigid registration of 3D human shapes. Our proposed
pipeline builds upon a given parametric model of the human, and makes use of the …

Establishing correspondence between shapes is a very important and active research topic
in many domains. Due to the powerful ability of deep learning on geometric data, lots of …

We propose a novel framework for computing descriptors for characterizing points on three-
dimensional surfaces. First, we present a new non-learned feature that uses graph wavelets …

Abstract 3D acquisition pipeline delivers 3D digital models accurately representing real-
world objects, improving the geometric accuracy and realism of virtual reconstructions …

Geometric operators are common objects in surface-based shape analysis and geometry
processing. While the intrinsic Laplace–Beltrami operator has been a ubiquitous choice …

The last decade has seen a revolution in the theory and application of machine learning and
pattern recognition. Through these advancements, variable ranking has emerged as an …

We introduce GFrames, a novel local reference frame (LRF) construction for 3D meshes and
point clouds. GFrames are based on the computation of the intrinsic gradient of a scalar field …