Non‐rigid registration computes an alignment between a source surface with a target
surface in a non‐rigid manner. In the past decade, with the advances in 3D sensing …

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 …

In this paper, we propose a method for computing partial functional correspondence
between non‐rigid shapes. We use perturbation analysis to show how removal of shape …

This paper proposes a novel algorithm for extracting street light poles from vehicleborne
mobile light detection and ranging (LiDAR) point-clouds. First, the algorithm rapidly detects …

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 …

This paper proposes a novel, automated algorithm for rapidly extracting urban road facilities,
including street light poles, traffic signposts, and bus stations, for transportation-related …

Matching deformable 3D shapes under partiality transformations is a challenging problem
that has received limited focus in the computer vision and graphics communities. With this …

Shape correspondence is a fundamental problem in computer graphics and vision, with
applications in various problems including animation, texture mapping, robotic vision …

A particularly challenging setting of the shape matching problem arises when the shapes
being matched have topological artifacts due to the coalescence of spatially close surface …

The spatial relationship between different objects plays an important role in defining the
context of scenes. Most previous 3D classification and retrieval methods take into account …