Mark point recognition method, apparatus and device, and storage medium

Abstract

The invention discloses a mark point recognition method, which comprises the following steps: acquiring an object motion image acquired by a camera, numbering pixel points in the object motion image from 0 to n-1, n being the number of the pixel points in the object motion image; calling a graphics processor, and creating n-1 thread groups in the graphics processor; in the created ith thread group, whether track intersection exists between a pixel point i and a pixel point j in the object moving image or not is judged through threads executed in parallel, i and j are numbers of the pixel points, i is larger than or equal to 1 and smaller than or equal to n-1, and j is larger than or equal to 0 and smaller than or equal to i; If track intersection exists between the pixel point i and the pixel point j in the object motion image, obtaining the position of an intersection point, and taking the position of the intersection point as the position of a motion capture mark point. The inventionfurther discloses a mark point recognition device and equipment and a storage medium. According to the method, the recognition efficiency of the motion capture mark points is improved, and the calculation time consumption is reduced.

Description

technical field [0001] The present invention relates to the technical field of motion capture, and in particular to a method, device, equipment and storage medium for identifying marking points. Background technique [0002] Currently, motion capture technology is widely used in virtual reality (virtual reality, VR) games or some somatosensory games. The so-called motion capture refers to setting trackers (such as reflective markers) on key parts of moving objects, capturing the position of the tracker, and then obtaining the data of three-dimensional space coordinates after computer processing. When the data is recognized by the computer, it can be applied in animation production, gait analysis, biomechanics, ergonomics and other fields. [0003] In the existing optical motion capture system, the movement trajectory recognition and trajectory tracking of the target object are generally realized by capturing the movement trajectory of the reflective markers. In this proces...

AI Technical Summary

Problems solved by technology

The problem with this is that when the number of marker points or the number of cameras is large, the calculation of the three-dimensional position coordinates of each marker point will become very time-consuming due to the increase in the number of pixels

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