The Use of Digital Image Art under Visual Sensing Technology for Art Education

The traditional art education model often cannot achieve good teaching results due to the development of digital technology. Art is integrated with technology based on three-dimensional (3D) panoramic vision sensing technology, so as to study the application of the combination of visual sensing tech...

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Autores principales: Wenli Mao, Bingyu Zhang
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Lenguaje:EN
Publicado: Hindawi Limited 2021
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Acceso en línea:https://doaj.org/article/d3b36e9f867d4062807f565f85bf7144
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spelling oai:doaj.org-article:d3b36e9f867d4062807f565f85bf71442021-11-22T01:10:32ZThe Use of Digital Image Art under Visual Sensing Technology for Art Education1687-726810.1155/2021/4513577https://doaj.org/article/d3b36e9f867d4062807f565f85bf71442021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/4513577https://doaj.org/toc/1687-7268The traditional art education model often cannot achieve good teaching results due to the development of digital technology. Art is integrated with technology based on three-dimensional (3D) panoramic vision sensing technology, so as to study the application of the combination of visual sensing technology and digital image art in the field of art education. With the application of projection virtual game “Whac-A-Mole” as an example, the integration of panoramic color volume structured light generation technology with single emission point and omnidirectional visual imaging technology with single view is proposed; the mathematical model of the active vision system is established, and the camera model, projector model, object surface illumination model, and their relationship are studied. On this basis, the mathematical relationship between the color of the projected light source and the color of the corresponding imaging point is proposed; a light source color correction algorithm based on the two-color reflection model is proposed. The object surface color is corrected by three-channel reflectance after the light source color correction algorithm is used for correction. The results suggest that the 3D panoramic vision sensing technology makes the current active stereo vision develop from the visual perception of surface structure to the visual perception of volume structure and reduces the error rate of recognition from 44% to 11%. Moreover, the algorithm does not need to know the coding method of the projected light source and the surface material of the object in advance. The scene teaching combined with technology overcomes the limitations of the teaching site and brings students into a completely realistic teaching situation. The presentation of digital image art using visual sensing technology can inspire children’s imagination, combine education and games, and perform edutainment. Thereby, the application research of digital image art based on 3D panoramic visual sensing technology has an irreplaceable development prospect in the field of art education.Wenli MaoBingyu ZhangHindawi LimitedarticleTechnology (General)T1-995ENJournal of Sensors, Vol 2021 (2021)
institution DOAJ
collection DOAJ
language EN
topic Technology (General)
T1-995
spellingShingle Technology (General)
T1-995
Wenli Mao
Bingyu Zhang
The Use of Digital Image Art under Visual Sensing Technology for Art Education
description The traditional art education model often cannot achieve good teaching results due to the development of digital technology. Art is integrated with technology based on three-dimensional (3D) panoramic vision sensing technology, so as to study the application of the combination of visual sensing technology and digital image art in the field of art education. With the application of projection virtual game “Whac-A-Mole” as an example, the integration of panoramic color volume structured light generation technology with single emission point and omnidirectional visual imaging technology with single view is proposed; the mathematical model of the active vision system is established, and the camera model, projector model, object surface illumination model, and their relationship are studied. On this basis, the mathematical relationship between the color of the projected light source and the color of the corresponding imaging point is proposed; a light source color correction algorithm based on the two-color reflection model is proposed. The object surface color is corrected by three-channel reflectance after the light source color correction algorithm is used for correction. The results suggest that the 3D panoramic vision sensing technology makes the current active stereo vision develop from the visual perception of surface structure to the visual perception of volume structure and reduces the error rate of recognition from 44% to 11%. Moreover, the algorithm does not need to know the coding method of the projected light source and the surface material of the object in advance. The scene teaching combined with technology overcomes the limitations of the teaching site and brings students into a completely realistic teaching situation. The presentation of digital image art using visual sensing technology can inspire children’s imagination, combine education and games, and perform edutainment. Thereby, the application research of digital image art based on 3D panoramic visual sensing technology has an irreplaceable development prospect in the field of art education.
format article
author Wenli Mao
Bingyu Zhang
author_facet Wenli Mao
Bingyu Zhang
author_sort Wenli Mao
title The Use of Digital Image Art under Visual Sensing Technology for Art Education
title_short The Use of Digital Image Art under Visual Sensing Technology for Art Education
title_full The Use of Digital Image Art under Visual Sensing Technology for Art Education
title_fullStr The Use of Digital Image Art under Visual Sensing Technology for Art Education
title_full_unstemmed The Use of Digital Image Art under Visual Sensing Technology for Art Education
title_sort use of digital image art under visual sensing technology for art education
publisher Hindawi Limited
publishDate 2021
url https://doaj.org/article/d3b36e9f867d4062807f565f85bf7144
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