Digitized Visual Transformation of Grotto Art Using Deep Learning and Virtual Reality Technology

Xie, Hao

doi:10.1155/2022/5106036

Cited by 3 publications

(3 citation statements)

References 35 publications

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“…Using computer technology, digitally repaired damaged murals can be helpful for the virtual display of the murals, and it has been shown that cloud edge computing could be a useful tool to automatically identify and repair the cracks of murals [ 136 ]. Deep learning and visual reality technology can build a digital recognition model which can accurately identify the colors and drawing materials of each specific color and thus be of great significance for the preservation simulation of murals [ 137 , 138 ]. However, deep learning methods usually require a large amount of data and computational resources.…”

Section: Measures For Mural Restoration and Protectionmentioning

confidence: 99%

Current progress on murals: distribution, conservation and utilization

Wang

2023

Herit Sci

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As non-renewable cultural heritages, murals have important implications in historical customs, religions, and philosophy as well as their aesthetic values. Recently, many murals are threatened by natural factors and human activities. During the past decades, there are increasing interest in the investigation of murals. Here we review the current status of murals and provide an up-to-date summary of achievements related to murals. The murals that draw the most attention are distributed in Mexico, Ireland, China, and Spain. The aesthetics, history, cultural, educational, and economic values of murals are comprehensively analyzed. The main research technologies used to detect the chemical compositions and physical structures of murals are also summarized. The restoration of murals includes several procedures such as stabilization, repair, surface cleaning, and pigment reconversion. Emerging technologies such as computer science benefit the research and conservation of murals. We also propose that tourism management and climate change should be incorporated into the conservation of murals in the future.

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Section: Measures For Mural Restoration and Protectionmentioning

confidence: 99%

Current progress on murals: distribution, conservation and utilization

Wang

2023

Herit Sci

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“…In the requested that IT is used in education on a constant basis to enhance the calibre of instruction in recent years [11]. In practical teaching, the flipped classroom model and art teaching resource database were widely used, and some outcomes were seen [12]. It showed the potential benefits of utilizing novel online psychometric tools for students' psychological counselling, opening up fresh possibilities for digital art teaching platform to help students' psychological needs [13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Optimized Hamiltonian Deep Neural Network-Based Art Education Teaching Content and Evaluation System

Qiuyu Long

2024

jes

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The organized educational processes and experiences created to promote a comprehension and appreciation of the visual arts are referred to as art education. It includes a variety of exercises designed to foster artistic abilities, the ability to express oneself creatively, and a greater understanding of artistic ideas and background. There are several places where art instruction can take place, such as private studios, museums, community centers, and schools. In this manuscript, Optimized Hamiltonian Deep Neural Network-Based Art Education Teaching Content and Evaluation System (HDNN-AETC-ES) is proposed. Initially the data is collect from MADS dataset. To execute this, input data is pre-processed using Adaptive Distorted Gaussian Matched Filter (ADGMF) and it removes the noise from collected data. Then, data is fed to Hamiltonian Deep Neural Network (HDNN)for effectively categorized Technology-Based Art Teaching Platform. Generally, HDNN doesn’t express adapting optimization approaches to determine optimal parameters to ensure accurate art teaching. Hence, the Tasmanian Devil Optimization Algorithm (TDOA) to optimize Hamiltonian Deep Neural Network which accurately evaluated the art teaching. Then the proposed HDNN-AETC-ES is implemented and the performance metrics likes accuracy, precision, recall, F1-score, computation time, ROC are analyzed. Performance of the HDNN-AETC-ES approach attains 18.41%, 24.08% and 32.57% higher accuracy, 20.31%, 21.08% and 22.57% higher Precision and 21.41%, 22.08% and 23.55% higher recall when analyzed through existing techniques like art education teaching content using optimization of digital art teaching platform depend on information technology with deep learning (DAT-IT-DL), building arts education policy utilizing tools of out-of-school time youth arts organizations (BAEP-ST-YAO) and investigating arts education effects on school engagement with climate (IAE-ES-EC) methods respectively.

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“…Compared with traditional single-disciplinary perspectives and research methods, this paper employs information technology tools to provide a wide range of perspectives, frameworks, and examples from the perspective of cultural and ritual criticism, and to ponder how to integrate art and technology to perpetuate and pass on the excellent genes in traditional art. The integration of art and information technology will bring opportunities to traditional art research, as exemplified by Kouretsis et al[114], Xie[115] and Liu et al[116], and others. This paper promotes interdisciplinarity in the arts.…”

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confidence: 99%

An investigating on the ritual elements influencing factor of decorative art: based on Guangdong's ancestral hall architectural murals text mining

Li,

Lv,

Liu

et al. 2023

Herit Sci

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The gradual loss of certain good cultural genes in the traditional ritual system is, to some extent, driven by the value orientation of the art of ancestral hall decoration. This article uses wall paintings as a medium to uncover significant variables affecting the decorating of ancestral hall murals and to analyze the culturally formative relationships underlying their art from a ceremonial perspective. It depends on textual excavation. The analysis demonstrates that: (1) the 521 murals generally transmit positive content; (2) the shift in the painted figures’ seating and grooming from formal to casual represents the fading of ceremonial concepts; (3) The control of economic costs may be a possible explanation for the large number of figures in crouching, skirting, and side-lying postures in wall paintings; (4) The fact that the colors employed in the garments of the figures from the Ming and Qing dynasties don’t follow the folk color scheme demonstrates that the creative production at that time was not constrained by a lot of ritualistic considerations. The study concludes that the absence of an educational component in the arts is a contributing factor to the diluted nature of traditional rituals in modern China.

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Digitized Visual Transformation of Grotto Art Using Deep Learning and Virtual Reality Technology

Cited by 3 publications

References 35 publications

Current progress on murals: distribution, conservation and utilization

Current progress on murals: distribution, conservation and utilization

Optimized Hamiltonian Deep Neural Network-Based Art Education Teaching Content and Evaluation System

An investigating on the ritual elements influencing factor of decorative art: based on Guangdong's ancestral hall architectural murals text mining

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