Fast and Efficient Calculations of Structural Invariants of Chirality

10/20/2017
by   He Zhang, et al.
0

Chirality plays an important role in physics, chemistry, biology, and other fields. It describes an essential symmetry in structure. However, chirality invariants are usually complicated in expression or difficult to evaluate. In this paper, we present five general three-dimensional chirality invariants based on the generating functions which are called ShapeDNA. And the five chiral invariants have three characteristics: 1) Three of the five chiral invariants decode the universal chirality index G0 in specified circumstance. 2) Three of them are proposed for the first time. 3) The five chiral invariants have low order no bigger than 4, brief expression, low time complexity O(n) and can act as descriptors of three-dimensional objects in shape analysis. The five chiral invariants give a geometric view to study the chiral invariants. And the experiments show that the five chirality invariants are effective and efficient, they can be used as a tool for symmetry detection or features in shape analysis.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
05/20/2017

Isomorphism between Differential and Moment Invariants under Affine Transform

The invariant is one of central topics in science, technology and engine...
research
11/28/2019

Continuous Histograms for Anisotropy of 2D Symmetric Piece-wise Linear Tensor Fields

The analysis of contours of scalar fields plays an important role in vis...
research
03/09/2020

Discovering Symmetry Invariants and Conserved Quantities by Interpreting Siamese Neural Networks

In this paper, we introduce interpretable Siamese Neural Networks (SNN) ...
research
07/18/2021

Frobenius statistical manifolds geometric invariants

In this paper, we explicitly prove that statistical manifolds, related t...
research
10/27/2020

Computation of Large Asymptotics of 3-Manifold Quantum Invariants

Quantum topological invariants have played an important role in computat...
research
01/03/2018

Polynomial-based rotation invariant features

One of basic difficulties of machine learning is handling unknown rotati...
research
01/21/2022

Boosting Isomorphic Model Filtering with Invariants

The enumeration of finite models is very important to the working discre...

Please sign up or login with your details

Forgot password? Click here to reset