Computer Vision Communication Technology in Mathematical Modeling

Author:

Xue Xiaobo1,Wu Xiaoyan2,Shorman Samer3

Affiliation:

1. Shanghai Institute of Visual Arts (SIVA) , Shanghai , , China

2. Taiyuan University , Shanxi Taiyuan , , China

3. College of Arts & Science , Applied Science University , Bahrain

Abstract

Abstract 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.

Publisher

Walter de Gruyter GmbH

Subject

Applied Mathematics,Engineering (miscellaneous),Modeling and Simulation,General Computer Science

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