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...

Full description

Bibliographic Details
Main Authors: Xue Xiaobo, Wu Xiaoyan, Shorman Samer
Format: Article
Language:English
Published: Sciendo 2023-01-01
Series:Applied Mathematics and Nonlinear Sciences
Subjects:
Online Access:https://doi.org/10.2478/amns.2022.2.0047
_version_ 1797688770730917888
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