Computer Vision Communication Technology in Mathematical Modeling
We use mathematical modeling methods to incorporate new elements into the computer graphics technology and visual communication design process. This method realizes the design of a computer image visual communication system. This method uses artificial vision to model and extracts local features. Th...
Main Authors: | , , |
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Format: | Article |
Language: | English |
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Sciendo
2023-01-01
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Series: | Applied Mathematics and Nonlinear Sciences |
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Online Access: | https://doi.org/10.2478/amns.2022.2.0047 |
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author | Xue Xiaobo Wu Xiaoyan Shorman Samer |
author_facet | Xue Xiaobo Wu Xiaoyan Shorman Samer |
author_sort | Xue Xiaobo |
collection | DOAJ |
description | We use mathematical modeling methods to incorporate new elements into the computer graphics technology and visual communication design process. This method realizes the design of a computer image visual communication system. This method uses artificial vision to model and extracts local features. The micro-partial equation obtains the background reference line of the target point in the image sequence to complete the background suppression in the image spatio-temporal domain. The experimental results show that the proposed algorithm has a better tracking effect of subsequent frames of video images and higher tracking efficiency. |
first_indexed | 2024-03-12T01:36:36Z |
format | Article |
id | doaj.art-d11357a38b8244ba9e5faf4fe2ed1278 |
institution | Directory Open Access Journal |
issn | 2444-8656 |
language | English |
last_indexed | 2024-03-12T01:36:36Z |
publishDate | 2023-01-01 |
publisher | Sciendo |
record_format | Article |
series | Applied Mathematics and Nonlinear Sciences |
spelling | doaj.art-d11357a38b8244ba9e5faf4fe2ed12782023-09-11T07:01:08ZengSciendoApplied Mathematics and Nonlinear Sciences2444-86562023-01-018162162810.2478/amns.2022.2.0047Computer Vision Communication Technology in Mathematical ModelingXue Xiaobo0Wu Xiaoyan1Shorman Samer21Shanghai Institute of Visual Arts (SIVA), Shanghai, 201620, China2Taiyuan University, Shanxi Taiyuan, 237016, China3College of Arts & Science, Applied Science University, BahrainWe use mathematical modeling methods to incorporate new elements into the computer graphics technology and visual communication design process. This method realizes the design of a computer image visual communication system. This method uses artificial vision to model and extracts local features. The micro-partial equation obtains the background reference line of the target point in the image sequence to complete the background suppression in the image spatio-temporal domain. The experimental results show that the proposed algorithm has a better tracking effect of subsequent frames of video images and higher tracking efficiency.https://doi.org/10.2478/amns.2022.2.0047computervisual communicationmathematical modelingfeature extraction60g35 |
spellingShingle | Xue Xiaobo Wu Xiaoyan Shorman Samer Computer Vision Communication Technology in Mathematical Modeling Applied Mathematics and Nonlinear Sciences computer visual communication mathematical modeling feature extraction 60g35 |
title | Computer Vision Communication Technology in Mathematical Modeling |
title_full | Computer Vision Communication Technology in Mathematical Modeling |
title_fullStr | Computer Vision Communication Technology in Mathematical Modeling |
title_full_unstemmed | Computer Vision Communication Technology in Mathematical Modeling |
title_short | Computer Vision Communication Technology in Mathematical Modeling |
title_sort | computer vision communication technology in mathematical modeling |
topic | computer visual communication mathematical modeling feature extraction 60g35 |
url | https://doi.org/10.2478/amns.2022.2.0047 |
work_keys_str_mv | AT xuexiaobo computervisioncommunicationtechnologyinmathematicalmodeling AT wuxiaoyan computervisioncommunicationtechnologyinmathematicalmodeling AT shormansamer computervisioncommunicationtechnologyinmathematicalmodeling |