scholarly journals Sports Auxiliary Training Based on Computer Digital 3D Video Image Processing

2022 ◽  
Vol 2022 ◽  
pp. 1-8
Author(s):  
Saisai Xu
Keyword(s):  
Image Processing ◽  
Simulation Experiment ◽  
Social Economy ◽  
Statistical Processing ◽  
3D Video ◽  
Video Image ◽  
Video Images ◽  
Starting Point ◽  
Video Image Processing

With the continuous development of social economy, sports have received more and more attention. How to improve the quality of sports has become the focus of research. The computer digital 3D video image processing is introduced in this paper, taking shooting as the starting point, in which computer digitization technology is used to collect images of sequence targets through combining the operation flow of shooting, monitor the results and data of shooting and process 3D video images, conduct the analyze and mine according to the corresponding statistical processing results, and evaluate the corresponding training. The simulation experiment proves that the computerized digital 3D video image processing is effective and can scientifically support sports-assisted training.

scholarly journals 3D Video Image Processing Effect Optimization Method Based on Virtual Reality Technology

2022 ◽  
Vol 16 ◽  
pp. 385-390
Author(s):  
Zhihong He ◽  
Wenjie Jia ◽  
Erhua Sun ◽  
Huilong Sun
Keyword(s):  
Image Processing ◽  
Virtual Reality ◽  
Optimization Methods ◽  
Optimization Method ◽  
3D Video ◽  
Video Image ◽  
Virtual Reality Technology ◽  
Processing Effect ◽  
Image Edge ◽  
Video Image Processing

The existing optimization methods have the problem of image edge blur, which leads to a high degree of shadow residue. In order to address this problem, reduce the shadow residual degree, this paper designs a 3D video image processing effect optimization method supported by virtual reality technology. Coding was used to eliminate redundant data in video and eliminate image noise using median filtering. The virtual reality technology detects the image edge and determines the motion offset between the image frames. According to the motion parameters of the camera carrier obtained from the motion estimation, the feature point matching algorithm constructs the video image motion model, and uses the camera calibration technology to set the processing effect optimization mode. It is optimized by perspective projection transformation. Experimental results: the average shadow residual degree of the optimization method and the two existing optimization methods are 3.108%, 6.167% and 6.396% respectively, which proves that the optimization method combined with virtual reality technology has higher practical application value.

Traffic incident detection system based on video image processing

2008 ◽  
Vol 28 (7) ◽  
pp. 1886-1889 ◽  
Author(s):  
Qin WANG ◽  
Shan HUANG ◽  
Hong-bin ZHANG ◽  
Quan YANG ◽  
Jian-jun ZHANG
Keyword(s):  
Image Processing ◽  
Detection System ◽  
Video Image ◽  
Incident Detection ◽  
Traffic Incident ◽  
Video Image Processing
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