Ball and high-speed rotational motion parameter detection method

Abstract

The invention relates to a ball and a high-speed rotational motion parameter detection method and aims to solve problems of complexity in spherical surface feature point recognition and calculation, unreliability in calculation result and the like. The ball is provided with spherical surface marks, and a spherical surface is divided by a first large circle, a second large circle and a third large circle in perpendicularity. Trisection points of the first large circle and two intersection points of the second large circle and the third large circle are five datum points of the spherical surface marks, the spherical surface marks include at least five mark lines equal in length, the mark lines are not parallel and shorter than 1 / 3 of the circumference of the first large circle, and midpoints of the mark lines are coincided with the five datum points respectively. The mark lines at least include a first mark line, a second mark line, a third mark line, a fourth mark line and a fifth mark line.

Description

technical field [0001] The invention relates to the field of detection of rotational motion parameters, in particular to a sphere and a method for detecting high-speed rotational motion parameters thereof. Background technique [0002] The detection of the rotation vector of the sphere is extremely important in the motion analysis of the sphere. The traditional rotation vector detection method is to print mark points or triangular shapes on the sphere, and shoot at intervals while the sphere is in motion. The flight information of the sphere is calculated according to the captured images. Chinese patent CN2010800077501 discloses a golf ball with multiple marking points on the surface of the ball. In the process of moving image acquisition, multiple cameras are required to capture three feature marker points at the same time. If one of the three marker points in the first image is on the edge, the marker point will not be captured in the next image; after the shooting is co...

AI Technical Summary

Problems solved by technology

In practical applications, there are six triangles with different sizes. When the sphere rotates rapidly and the camera is far away, it is very difficult to identify the corner endpoints of the triangles. The triangles are also distorted because of the distortion of the distribution on the spherical surface, and The edges of the captured triangles are blurred, and it is difficult to calculate the exact three-dimensional position of each corner endpoint

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