Fast Radial and Bilateral Symmetry Detection Using Inverted Gradient Hash Maps

This paper presents a fast and novel algorithm for both radial and bilateral symmetry detection based on inverted gradient hash maps (IGHMs). A hash map is an associative array that stores image gradient magnitudes and orientations in the form of an inverted index. This mapping of image gradients to...

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Main Authors: R. Gonzalez, L. Lincoln
Format: Article
Language:English
Published: European Alliance for Innovation (EAI) 2017-03-01
Series:EAI Endorsed Transactions on Context-aware Systems and Applications
Subjects:
Online Access:http://eudl.eu/doi/10.4108/eai.6-3-2017.152336
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author R. Gonzalez
L. Lincoln
author_facet R. Gonzalez
L. Lincoln
author_sort R. Gonzalez
collection DOAJ
description This paper presents a fast and novel algorithm for both radial and bilateral symmetry detection based on inverted gradient hash maps (IGHMs). A hash map is an associative array that stores image gradient magnitudes and orientations in the form of an inverted index. This mapping of image gradients to their locations permits points of interest to be located very rapidly without needing to search through the image. Unlike other symmetry operators it is able to detect symmetries without needing the range of the symmetry to be known apriori. It can also easily detect large-scale symmetry. The method is described and experimentally evaluated against existing methods for both radial and bilateral symmetry detection.
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spelling doaj.art-080c927e6cfd4d1eae7adc3c34bf6ee22022-12-22T01:23:53ZengEuropean Alliance for Innovation (EAI)EAI Endorsed Transactions on Context-aware Systems and Applications2409-00262017-03-0141111210.4108/eai.6-3-2017.152336Fast Radial and Bilateral Symmetry Detection Using Inverted Gradient Hash MapsR. Gonzalez0L. Lincoln1School of ICT, Griffith University, Queensland, Australia; r.gonzalez@griffith.edu.auSchool of ICT, Griffith University, Queensland, AustraliaThis paper presents a fast and novel algorithm for both radial and bilateral symmetry detection based on inverted gradient hash maps (IGHMs). A hash map is an associative array that stores image gradient magnitudes and orientations in the form of an inverted index. This mapping of image gradients to their locations permits points of interest to be located very rapidly without needing to search through the image. Unlike other symmetry operators it is able to detect symmetries without needing the range of the symmetry to be known apriori. It can also easily detect large-scale symmetry. The method is described and experimentally evaluated against existing methods for both radial and bilateral symmetry detection.http://eudl.eu/doi/10.4108/eai.6-3-2017.152336Symmetry DetectionReflectiveRadialBilateralMirror
spellingShingle R. Gonzalez
L. Lincoln
Fast Radial and Bilateral Symmetry Detection Using Inverted Gradient Hash Maps
EAI Endorsed Transactions on Context-aware Systems and Applications
Symmetry Detection
Reflective
Radial
Bilateral
Mirror
title Fast Radial and Bilateral Symmetry Detection Using Inverted Gradient Hash Maps
title_full Fast Radial and Bilateral Symmetry Detection Using Inverted Gradient Hash Maps
title_fullStr Fast Radial and Bilateral Symmetry Detection Using Inverted Gradient Hash Maps
title_full_unstemmed Fast Radial and Bilateral Symmetry Detection Using Inverted Gradient Hash Maps
title_short Fast Radial and Bilateral Symmetry Detection Using Inverted Gradient Hash Maps
title_sort fast radial and bilateral symmetry detection using inverted gradient hash maps
topic Symmetry Detection
Reflective
Radial
Bilateral
Mirror
url http://eudl.eu/doi/10.4108/eai.6-3-2017.152336
work_keys_str_mv AT rgonzalez fastradialandbilateralsymmetrydetectionusinginvertedgradienthashmaps
AT llincoln fastradialandbilateralsymmetrydetectionusinginvertedgradienthashmaps