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The Application Research of Visual Touch Based on Computer Vision in Artistic Visual Image Design
Author(s) -
Yao Zhou
Publication year - 2022
Publication title -
wireless communications and mobile computing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.42
H-Index - 64
eISSN - 1530-8677
pISSN - 1530-8669
DOI - 10.1155/2022/5710776
Subject(s) - computer science , computer vision , artificial intelligence , object (grammar) , scope (computer science) , computer graphics , tracking (education) , eye tracking , sample (material) , graphics , computer graphics (images) , psychology , pedagogy , chemistry , chromatography , programming language
As a branch of artistic design, artistic visual image design focuses on the visual image, because the scope of artistic visual image design is relatively wide. This research takes ice flower as the research object. After a brief introduction to computer vision and visual touch, it focuses on the current situation of the application of ice flower graphics, the creative graphic design of dew ice flower, the artificial production method of ice flower painting, the method of subject research, the repetition and arrangement of elements, and the type of gradients for ice drawing graphic elements. In addition, the principle of the visual tracking algorithm is introduced through the formula, and the tracking accuracy and success rate of the algorithm in this paper and other algorithms are compared during the experiment, and the experiment shows the formation conditions of the ice flower. Experiments show that tracking results combined with deep features perform the best, with an overall average of 66.95%. The closer the tracking sample is to the real target, the better the tracking performance can be guaranteed. This also proves the effectiveness of using the characteristics of deep features to select candidate samples related to the target and also proves that deep features are more robust in dealing with various challenging factors.

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