Structural Beauty: A Structure-Based Computational Approach to Quantifying the Beauty of an Image
To say that beauty is in the eye of the beholder means that beauty is largely subjective so varies from person to person. While the subjectivity view is commonly held, there is also an objectivity view that seeks to measure beauty or aesthetics in some quantitative manners. Christopher Alexander has...
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Format: | Article |
Language: | English |
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MDPI AG
2021-04-01
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Series: | Journal of Imaging |
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Online Access: | https://www.mdpi.com/2313-433X/7/5/78 |
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author | Bin Jiang Chris de Rijke |
author_facet | Bin Jiang Chris de Rijke |
author_sort | Bin Jiang |
collection | DOAJ |
description | To say that beauty is in the eye of the beholder means that beauty is largely subjective so varies from person to person. While the subjectivity view is commonly held, there is also an objectivity view that seeks to measure beauty or aesthetics in some quantitative manners. Christopher Alexander has long discovered that beauty or coherence highly correlates to the number of subsymmetries or substructures and demonstrated that there is a shared notion of beauty—structural beauty—among people and even different peoples, regardless of their faiths, cultures, and ethnicities. This notion of structural beauty arises directly out of living structure or wholeness, a physical and mathematical structure that underlies all space and matter. Based on the concept of living structure, this paper develops an approach for computing the structural beauty or life of an image (L) based on the number of automatically derived substructures (S) and their inherent hierarchy (H). To verify this approach, we conducted a series of case studies applied to eight pairs of images including Leonardo da Vinci’s Mona Lisa and Jackson Pollock’s Blue Poles. We discovered among others that Blue Poles is more structurally beautiful than the Mona Lisa, and traditional buildings are in general more structurally beautiful than their modernist counterparts. This finding implies that goodness of things or images is largely a matter of fact rather than an opinion or personal preference as conventionally conceived. The research on structural beauty has deep implications on many disciplines, where beauty or aesthetics is a major concern such as image understanding and computer vision, architecture and urban design, humanities and arts, neurophysiology, and psychology. |
first_indexed | 2024-03-10T12:00:36Z |
format | Article |
id | doaj.art-1b33638bc42145c2804259e3cc5cd290 |
institution | Directory Open Access Journal |
issn | 2313-433X |
language | English |
last_indexed | 2024-03-10T12:00:36Z |
publishDate | 2021-04-01 |
publisher | MDPI AG |
record_format | Article |
series | Journal of Imaging |
spelling | doaj.art-1b33638bc42145c2804259e3cc5cd2902023-11-21T16:56:00ZengMDPI AGJournal of Imaging2313-433X2021-04-01757810.3390/jimaging7050078Structural Beauty: A Structure-Based Computational Approach to Quantifying the Beauty of an ImageBin Jiang0Chris de Rijke1Division of GIScience, Faculty of Engineering and Sustainable Development, University of Gävle, SE-80176 Gävle, SwedenDivision of GIScience, Faculty of Engineering and Sustainable Development, University of Gävle, SE-80176 Gävle, SwedenTo say that beauty is in the eye of the beholder means that beauty is largely subjective so varies from person to person. While the subjectivity view is commonly held, there is also an objectivity view that seeks to measure beauty or aesthetics in some quantitative manners. Christopher Alexander has long discovered that beauty or coherence highly correlates to the number of subsymmetries or substructures and demonstrated that there is a shared notion of beauty—structural beauty—among people and even different peoples, regardless of their faiths, cultures, and ethnicities. This notion of structural beauty arises directly out of living structure or wholeness, a physical and mathematical structure that underlies all space and matter. Based on the concept of living structure, this paper develops an approach for computing the structural beauty or life of an image (L) based on the number of automatically derived substructures (S) and their inherent hierarchy (H). To verify this approach, we conducted a series of case studies applied to eight pairs of images including Leonardo da Vinci’s Mona Lisa and Jackson Pollock’s Blue Poles. We discovered among others that Blue Poles is more structurally beautiful than the Mona Lisa, and traditional buildings are in general more structurally beautiful than their modernist counterparts. This finding implies that goodness of things or images is largely a matter of fact rather than an opinion or personal preference as conventionally conceived. The research on structural beauty has deep implications on many disciplines, where beauty or aesthetics is a major concern such as image understanding and computer vision, architecture and urban design, humanities and arts, neurophysiology, and psychology.https://www.mdpi.com/2313-433X/7/5/78lifewholenessfigural goodnesshead/tail breakscomputer vision |
spellingShingle | Bin Jiang Chris de Rijke Structural Beauty: A Structure-Based Computational Approach to Quantifying the Beauty of an Image Journal of Imaging life wholeness figural goodness head/tail breaks computer vision |
title | Structural Beauty: A Structure-Based Computational Approach to Quantifying the Beauty of an Image |
title_full | Structural Beauty: A Structure-Based Computational Approach to Quantifying the Beauty of an Image |
title_fullStr | Structural Beauty: A Structure-Based Computational Approach to Quantifying the Beauty of an Image |
title_full_unstemmed | Structural Beauty: A Structure-Based Computational Approach to Quantifying the Beauty of an Image |
title_short | Structural Beauty: A Structure-Based Computational Approach to Quantifying the Beauty of an Image |
title_sort | structural beauty a structure based computational approach to quantifying the beauty of an image |
topic | life wholeness figural goodness head/tail breaks computer vision |
url | https://www.mdpi.com/2313-433X/7/5/78 |
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