{"title":"曼荼罗简化:神圣的对称遇上极简主义","authors":"Tusita Sarkar, Preetam Chayan Chatterjee, Partha Bhowmick","doi":"10.1016/j.cviu.2025.104319","DOIUrl":null,"url":null,"abstract":"<div><div>Mandalas, intricate artistic designs with radial symmetry, are imbued with a timeless allure that transcends cultural boundaries. Found in various cultures and spiritual traditions worldwide, mandalas hold profound significance as symbols of unity, wholeness, and spiritual transformation. At the heart of mandalas lies the concept of sacred symmetry, a timeless principle that resonates with the deepest realms of human consciousness. However, in handcrafted mandalas, symmetry often falls short of perfection, necessitating refinement to evoke harmony and balance. With this in mind, we introduce a computational approach aimed at capturing the all-round symmetry of mandalas through minimalist principles. By leveraging innovative geometric and graph-theoretic tools and an interactive twin atlas, this approach streamlines parameter domains to achieve the revered state of sacred symmetry, epitomizing harmonious balance. This is especially beneficial when dealing with handcrafted mandalas of subpar quality, necessitating concise representations for tasks like mandala editing, recreation, atlas building, and referencing. Experimental findings and related results demonstrate the effectiveness of the proposed methodology.</div></div>","PeriodicalId":50633,"journal":{"name":"Computer Vision and Image Understanding","volume":"254 ","pages":"Article 104319"},"PeriodicalIF":4.3000,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Mandala simplification: Sacred symmetry meets minimalism\",\"authors\":\"Tusita Sarkar, Preetam Chayan Chatterjee, Partha Bhowmick\",\"doi\":\"10.1016/j.cviu.2025.104319\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Mandalas, intricate artistic designs with radial symmetry, are imbued with a timeless allure that transcends cultural boundaries. Found in various cultures and spiritual traditions worldwide, mandalas hold profound significance as symbols of unity, wholeness, and spiritual transformation. At the heart of mandalas lies the concept of sacred symmetry, a timeless principle that resonates with the deepest realms of human consciousness. However, in handcrafted mandalas, symmetry often falls short of perfection, necessitating refinement to evoke harmony and balance. With this in mind, we introduce a computational approach aimed at capturing the all-round symmetry of mandalas through minimalist principles. By leveraging innovative geometric and graph-theoretic tools and an interactive twin atlas, this approach streamlines parameter domains to achieve the revered state of sacred symmetry, epitomizing harmonious balance. This is especially beneficial when dealing with handcrafted mandalas of subpar quality, necessitating concise representations for tasks like mandala editing, recreation, atlas building, and referencing. Experimental findings and related results demonstrate the effectiveness of the proposed methodology.</div></div>\",\"PeriodicalId\":50633,\"journal\":{\"name\":\"Computer Vision and Image Understanding\",\"volume\":\"254 \",\"pages\":\"Article 104319\"},\"PeriodicalIF\":4.3000,\"publicationDate\":\"2025-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computer Vision and Image Understanding\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1077314225000426\",\"RegionNum\":3,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computer Vision and Image Understanding","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1077314225000426","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
Mandalas, intricate artistic designs with radial symmetry, are imbued with a timeless allure that transcends cultural boundaries. Found in various cultures and spiritual traditions worldwide, mandalas hold profound significance as symbols of unity, wholeness, and spiritual transformation. At the heart of mandalas lies the concept of sacred symmetry, a timeless principle that resonates with the deepest realms of human consciousness. However, in handcrafted mandalas, symmetry often falls short of perfection, necessitating refinement to evoke harmony and balance. With this in mind, we introduce a computational approach aimed at capturing the all-round symmetry of mandalas through minimalist principles. By leveraging innovative geometric and graph-theoretic tools and an interactive twin atlas, this approach streamlines parameter domains to achieve the revered state of sacred symmetry, epitomizing harmonious balance. This is especially beneficial when dealing with handcrafted mandalas of subpar quality, necessitating concise representations for tasks like mandala editing, recreation, atlas building, and referencing. Experimental findings and related results demonstrate the effectiveness of the proposed methodology.
期刊介绍:
The central focus of this journal is the computer analysis of pictorial information. Computer Vision and Image Understanding publishes papers covering all aspects of image analysis from the low-level, iconic processes of early vision to the high-level, symbolic processes of recognition and interpretation. A wide range of topics in the image understanding area is covered, including papers offering insights that differ from predominant views.
Research Areas Include:
• Theory
• Early vision
• Data structures and representations
• Shape
• Range
• Motion
• Matching and recognition
• Architecture and languages
• Vision systems