Abstract

Pole Vault is one of the most difficult and complicated sport in athletic and tracks events; it is high jumping action with vaulting pole stick. In the study of Pole Vault technology, the rapid advancement of Augmented Reality (AR) technology has considerable significance for the visual error correction of the pole vault take-off action images in the simulated world. The key objective is to evaluate the correction algorithm of the visual errors of take-off action images of pole vault sport. This study analyzes the AR framework, features, and pole vault, as well as province methods for correcting visual defects. Pole vault take-off action images have been simulated with AR computation technique, and the AR images of continues pole vault made. This paper primarily provides an overview of augmented reality (AR) technology, including its properties and benefits, as well as a few visual error correcting methods. AR discusses how to choose an aerobics instructor who can help you maintain an aerobics regimen on a regular basis. Augmented reality has been used to model these pictures, and AR images of aerobics have been created. The visual error correction of the longitudinal direction, transverse direction, and height direction of AR simulated continue pole vault images with Scale Invariant Feature Transform (SIFT) algorithm, Mean Absolute Deviation (MAD) algorithm, Normalize Cross-Correlation (NCC) algorithm, and Sobel Edge Detection (SED) algorithm is proposed in this study. This revealed that poor performance in the pole vault sport is due in large part to a lack of a well-planned structure for implementing a corrective mechanism for visual mistake correction in take-off action images. The statistical result of perfect pole vault technique dissected and described, including the best manage, takeoff, drive and swing, and bar separation. Along with technical work, a pole vaulters training regimen should involve sprinting, weight lifting, and gymnastics as well.

Full Text
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