The concept of symmetry has received significant attention in computer graphics and
computer vision research in recent years. Numerous methods have been proposed to find …

We introduce a computational framework for discovering regular or repeated geometric
structures in 3D shapes. We describe and classify possible regular structures and present …

Shape structure is about the arrangement and relations between shape parts. Structure-
aware shape processing goes beyond local geometry and low level processing to analyze …

Although considerable attention in recent years has been given to the problem of symmetry
detection in general shapes, few methods have been developed that aim to detect and …

A novel method for the classification and retrieval of 3D models is proposed; it exploits the
2D panoramic view representation of 3D models as input to an ensemble of convolutional …

Detecting symmetrical properties is a fundamental task in 3D shape analysis. In the case of
a 3D model with planar symmetries, each point has a corresponding mirror point wrt a …

Data-driven methods serve an increasingly important role in discovering geometric,
structural, and semantic relationships between shapes. In contrast to traditional approaches …

Symmetry is a common characteristic in natural and man‐made objects. Its ubiquitous
nature can be exploited to facilitate the analysis and processing of computational …

3D models derived from point clouds are useful in various shapes to optimize the trade-off
between precision and geometric complexity. They are defined at different granularity levels …

In this paper, we describe a new algorithm for detecting structural redundancy in geometric
data sets. Our algorithm computes rigid symmetries, ie, subsets of a surface model that …